Electrical engineer jobs in Arlington, VirginiaCreate job alerts

Overview: Ready to lead with precision and elevate construction excellence? Saiia Construction is seeking a Quality Control Manager for an onsite role in Chester, VA, where your expertise will be the cornerstone of project success—from blueprint to final inspection. In this critical role, collaborate with Project Managers, Engineers, and site leadership to foster a culture of quality from the ground up. You’ll develop site-specific procedures, conduct audits and inspections across multiple disciplines, and ensure every detail meets the highest standards of safety, efficiency, and client satisfaction. If you're passionate about problem-solving and fostering a culture of quality, this is your chance to lead confidently and build with integrity on high-profile projects. Company Overview Founded by Sam Saiia as Birmingham Excavating Co. in 1946, the company now known as Saiia Construction is an industrial heavy civil contractor of choice for the power generation, mineral and aggregate mining, and pulp and paper markets. With more than 630 pieces of construction machinery in our fleet, over 500 employees, and experience working in 11 states, we have the resources and knowledge to complete projects of any scale. As a MasTec Company, we are poised for continued growth and an exciting future! MasTec’s Clean Energy and Infrastructure Group (CE&I) is a $4 billion annual revenue business unit that provides construction services for industrial facilities; building products manufacturers, power generation facilities, manufacturing plants; solar, wind, and thermal energy plants; buildings, and infrastructure. Responsibilities: • The Quality Control Manager plays a vital role in supporting the project team throughout the entire project lifecycle, from preconstruction planning to project completion., • Reviews drawings and submittals with the project team for conformance with project requirements., • Communicates regularly with Project Managers to provide quality control updates and advise of issues or problems that may affect progress., • Develop site-specific quality procedures and review with Project Engineer as necessary to support the project requirements., • Assist jobsite leadership with resolution of client complaints that are quality related., • Order and receive needed project materials and equipment as advised., • Coordinate and administer weekly quality meetings and/or identification of safety meeting elements relevant to quality., • Monitor quality practices daily, along with ongoing inspections to minimize the need for corrections and punch-list items., • Implement the delegated authority to stop work in the event of quality issues., • Provide direction to the Project Engineer on quality related items and maintain priority on critical path items necessary to keep the project schedule., • Monitor subcontractor and vendor performance with respect to timeliness, efficiency, and quality., • Prepare and submit comprehensive quality control reports detailing inventory, calibration status, document control logs, ongoing and completed work items, weather conditions, and any emerging quality issues., • Provide weekly updates for as-built conditions and continual maintenance of safety logs., • Enforce and champion the requirements of the site quality program (including the processing of any required revisions) and other project quality and technical requirements., • Coordinate with Project Manager to ensure all project close-out documents are complete and submitted., • Act as a Lead Auditor to plan, perform, report quality audits of a variety of construction activities., • Perform physical inspection of a variety of discipline activities which may include but not limited to; piping, civil, concrete, fixed and rotating equipment, electrical, control systems, coatings, insulation, and non-destructive testing., • Performs additional assignments per Division Manager’s request. Qualifications:, • Proficiency with Microsoft Office Suite (Word, Excel, Project, PowerPoint, and Outlook) and other necessary software., • Knowledge of OSHA and MSHA regulations and reporting processes for civil and mining projects., • Ability to represent the Company professionally with external organizations and internal stakeholders., • Strong leadership skills to manage effectively at all organizational levels., • Excellent communication skills., • Skill in resolving problems with multiple variables in standardized situations., • Strong business judgment and common sense for making recommendations and decisions., • Skilled in multi-tasking and thriving in fast-paced, multi-project environments., • Ability to meet deadlines., • Strong interpersonal skills to engage with all levels of the Company, vendors, clients, and regulatory agencies at jobsites and the Corporate office., • Bachelor’s Degree with major coursework in Construction Management, Civil Engineering, Project Management or related field., • Minimum of 5 years as a Quality Manager in Heavy Construction and Project environments., • Sits: Frequently, • Stands: Occasionally, • Walks: Occasionally, • Drive: Occasionally, • Lift/Carry 0-10 lbs.: Occasionally, • Lift/Carry 10-20 lbs.: Occasionally, • Lift/Carry 20-50 lbs.: Occasionally, • Lift/Carry 50- over 100 lbs.: Never, • Reach Above: Occasionally, • Bend/Stoop: Occasionally, • Use Hands for Pushing/Pulling: Occasionally, • Use Hands for Manipulations: Occasionally, • Stress Level of Job: Moderate What's in it for you: Financial Wellbeing • Competitive pay with ongoing performance review and merit increase, • 401(k) with company match & Employee Stock Purchase Plan (ESPP), • Medical, Dental, and Vision insurance (plan choice) - coverage for spouse, domestic partner, and children, • Paid Time Off, Paid Holidays, Bereavement Leave, • Military Leave, including Differential Pay and Benefits Continuation, • Short and long-term disability, life insurance, and accidental death & dismemberment, • Voluntary life insurance, accident, critical illness, hospital indemnity coverage, • Emergency Travel Assistance Program, • Group legal plan Position may be subject to pre-employment screening, which may include background check and drug testing. Accessibility: If you need accommodation as part of the employment process, contact . Due to the high volume of applications received, we are unable to respond to individual requests regarding application status. Please log into your candidate profile for up-to-date information. MasTec, Inc. is an Equal Employment Opportunity Employer. The Company's policy is not to unlawfully discriminate against any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity, religion, national origin, age, disability, genetic information, military status, or any other consideration made unlawful by applicable federal, state, or local laws. The Company also prohibits harassment of applicants and employees based on any of these protected categories. It is also MasTec's policy to comply with all applicable state, federal and local laws respecting consideration of unemployment status in making hiring decisions. Disclaimer: MasTec and our Subsidiaries will never ask prospective employees for any form of payment or money transfer as part of job application or onboarding. We do not ask prospective employees for information about credit cards or personal passwords, and it does not require applicants to purchase equipment or software. Ensure that all recruiter email addresses end in @mastec.com or @talent.icims.com. If you suspect you are the target of a scam, we advise you to contact your local law enforcement agency and report fraud at ___. MasTec Clean Energy & Infrastructure and our subsidiaries do not work with any third-party recruiters or agencies without a valid signed agreement and partnership with the Corporate Talent Acquisition Team. #LI-Onsite #Li-RR1 Appcast (For Export): #appflash

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior Machine Learning Engineer McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer - ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our internal Audit team and partners across the company to build and deploy proprietary solutions that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. * Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. * Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. * Fine-tune, develop and evaluate machine learning and foundation models, * Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities * Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. * Leverage a broad stack of Open Source and SaaS AI technologies. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. * Retrain, maintain, and monitor models in production. * Construct optimized data pipelines to feed ML models. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. * Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: * Bachelor's degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Go, Scala, or Java * At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: * Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * 6 years of experience designing, developing, delivering, and supporting AI services at scale * 3 years of experience developing AI and ML algorithms or technologies using Python * 2 years of experience with Retrieval Augmented Generation (RAG) * Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished AI Engineer (Agentic AI Platform Infrastructure) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers * 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) * 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $263,900 - $301,200 for Distinguished AI Engineer McLean, VA: $263,900 - $301,200 for Distinguished AI Engineer New York, NY: $287,800 - $328,500 for Distinguished AI Engineer San Francisco, CA: $287,800 - $328,500 for Distinguished AI Engineer San Jose, CA: $287,800 - $328,500 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (Gen AI Platform Services, Agentic Systems) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $263,900 - $301,200 for Distinguished AI Engineer McLean, VA: $263,900 - $301,200 for Distinguished AI Engineer New York, NY: $287,800 - $328,500 for Distinguished AI Engineer Richmond, VA: $239,900 - $273,800 for Distinguished AI Engineer San Francisco, CA: $287,800 - $328,500 for Distinguished AI Engineer San Jose, CA: $287,800 - $328,500 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer New York, NY: $245,900 - $280,600 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (Gen AI Platform Services, Python, Kubernetes) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer (ML Algorithms, Deep Learning, Python, AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer San Francisco, CA: $211,000 - $240,800 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Machine Learning Engineering As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. This team is responsible for building, operationalizing, monitoring, and maintaining the machine learning models that power our credit card recoveries division. In this role you will manage a small team of machine learning engineers focusing on ML operations and partner with data science teams to enable critical business decisions. We leverage tools like Python, PySpark, AWS, Kubernetes (Kubeflow), XG Boost, and scikit-learn. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions * At least 4 years of people management experience. Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Mgr, Machine Learning Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (LLM Core) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Machine Learning Engineer (ML Algorithms, Deep Learning, Python, AWS) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Richmond, VA: $144,200 - $164,600 for Senior Machine Learning Engineer San Francisco, CA: $173,000 - $197,400 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (GenAI Platform Services, Python) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, LLM Core) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $175,800 - $200,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Anytown, IL: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior AI Engineer (AI Foundations, LLM Core) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Additional InformationFull Time Job Number25165739 Job CategoryEngineering & Facilities LocationBethesda Marriott, 5151 Pooks Hill Road, Bethesda, Maryland, United States, 20814___ ScheduleFull Time Located Remotely?N Position Type Non-Management Pay Range: $28.26-$30.39 per hour POSITION SUMMARY Respond and attend to guest repair requests. Communicate with guests/customers to resolve maintenance issues. Perform preventive maintenance on tools and equipment, including cleaning and lubrication. Visually inspect tools, equipment, or machines. Carry equipment (e.g., tools, radio). Identify, locate, and operate all shut-off valves for equipment and utility shut-offs for buildings. Maintain maintenance inventory and requisition parts and supplies as needed. Assure each day’s activities and problems that occur are communicated to the other shifts using approved communication programs and standards. Display thorough knowledge of building systems, emergency response, and building documentation including reading standard blue prints and electrical schematics concerning plumbing and HVAC. Display advanced engineering operations skills and general mechanical ability. Display professional journeyman level expertise in at least three of the following areas with basic skills in the remaining: air conditioning and refrigeration, electrical, plumbing, carpentry and finish skills, mechanical, general building management, pneumatic/electronic systems and controls, and/or energy conservation. Display solid knowledge and skill in the safe use of hand and power tools and other materials required to perform repair and maintenance tasks. Safely perform highly complex repairs of the physical property, electrical, plumbing and mechanical equipment, air conditioners, refrigeration and pool heaters - ensuring all methods, materials and practices meet company standards and Local and National codes - with little or no supervision. Perform routine inspections of the entire property, noting safety hazards, lack of illumination, down equipment (such as ice makers, fans, extractors, pumps), and take immediate corrective action. Inspect and repair all mechanical equipment including, but not limited to: appliances, HVAC, electrical and plumbing components, diagnose and repair of boilers, pumps and related components. Use the Lockout/Tagout system before performing any maintenance work. Display thorough knowledge of maintenance contracts and vendors. Display advanced knowledge of engineering computer programs related to preventative maintenance, energy management, and other systems, including devices that interact with such programs. Perform advanced troubleshooting of hotel Mechanical, Electrical, and Plumbing (MEP) systems. Display the ability to train and mentor other engineers (e.g., Engineers I, II, and III) as necessary and supervise work in progress and act in a supervisory role in the absence of supervisors and/or management. Display ability to perform Engineer on Duty responsibilities, including readings and rounds. Follow all company and safety and security policies and procedures; report any maintenance problems, safety hazards, accidents, or injuries; complete safety training and certifications; and properly store flammable materials. Ensure uniform and personal appearances are clean and professional, maintain confidentiality of proprietary information, and protect company assets. Welcome and acknowledge all guests according to company standards, anticipate and address guests’ service needs, assist individuals with disabilities, and thank guests with genuine appreciation. Adhere to quality expectations and standards. Develop and maintain positive working relationships with others, support team to reach common goals, and listen and respond appropriately to the concerns of other employees. Speak with others using clear and professional language. Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance and heavier lifting or movement tasks with assistance. Move up and down stairs, service ramps, and/or ladders. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Enter and locate work-related information using computers and/or point of sale systems. Perform other reasonable job duties as requested. PREFERRED QUALIFICATIONS Education: High school diploma or G.E.D. equivalent. Certificate in two-year technical diploma program for HVAC/refrigeration. Related Work Experience: Extensive experience and training in general maintenance (advanced repairs), electrical or refrigeration, exterior and interior surface preparation and painting. At least 2 years of hotel engineering/maintenance experience. Supervisory Experience: No supervisory experience. REQUIRED QUALIFICATIONS License or Certification: Valid Driver’s License License or certification in refrigeration or electrical (earned, or currently working towards receiving) Universal Chlorofluorocarbon (CFC) certification Must meet applicable state and federal certification and/or licensing requirements. At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. We’re proud to offer a wide range of benefits designed to support you and your family, enrich your wellbeing, empower your career, and spark new adventures. Benefits eligibility and options may vary depending on employment status, position and location. Click ___ to learn more. Marriott Hotels strive to elevate the art of hospitality, innovating at every opportunity while keeping the comfort of the oh-so-familiar all around the globe. As a host with Marriott Hotels, you will help keep the promise of “Wonderful Hospitality. Always.” by delivering thoughtful, heartfelt, forward-thinking service that upholds and builds upon this living legacy. With the name that’s synonymous with hospitality the world over, we are proud to welcome you to explore a career with Marriott Hotels. In joining Marriott Hotels, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you. JW Marriott is part of Marriott International's luxury portfolio and consists of more than 100 beautiful properties in gateway cities and distinctive resort locations around the world. JW believes our associates come first. Because if you’re happy, our guests will be happy. JW Marriott associates are confident, innovative, genuine, intuitive, and carry on the legacy of the brand’s namesake and company founder, J.Willard Marriott. Our hotels offer a work experience unlike any other, where you’ll be part of a community and enjoy true camaraderie with a diverse group of co-workers. JW creates opportunities for training, development, recognition and most importantly, a place where you can pursue your passions in a luxury environment with a focus on holistic well-being. Treating guests exceptionally starts with the way we take care of our associates. That’s The JW Treatment™. In joining JW Marriott, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.

Additional InformationFull Time Job Number25165739 Job CategoryEngineering & Facilities LocationBethesda Marriott, 5151 Pooks Hill Road, Bethesda, Maryland, United States, 20814___ ScheduleFull Time Located Remotely?N Position Type Non-Management Pay Range: $28.26-$30.39 per hour POSITION SUMMARY Respond and attend to guest repair requests. Communicate with guests/customers to resolve maintenance issues. Perform preventive maintenance on tools and equipment, including cleaning and lubrication. Visually inspect tools, equipment, or machines. Carry equipment (e.g., tools, radio). Identify, locate, and operate all shut-off valves for equipment and utility shut-offs for buildings. Maintain maintenance inventory and requisition parts and supplies as needed. Assure each day’s activities and problems that occur are communicated to the other shifts using approved communication programs and standards. Display thorough knowledge of building systems, emergency response, and building documentation including reading standard blue prints and electrical schematics concerning plumbing and HVAC. Display advanced engineering operations skills and general mechanical ability. Display professional journeyman level expertise in at least three of the following areas with basic skills in the remaining: air conditioning and refrigeration, electrical, plumbing, carpentry and finish skills, mechanical, general building management, pneumatic/electronic systems and controls, and/or energy conservation. Display solid knowledge and skill in the safe use of hand and power tools and other materials required to perform repair and maintenance tasks. Safely perform highly complex repairs of the physical property, electrical, plumbing and mechanical equipment, air conditioners, refrigeration and pool heaters - ensuring all methods, materials and practices meet company standards and Local and National codes - with little or no supervision. Perform routine inspections of the entire property, noting safety hazards, lack of illumination, down equipment (such as ice makers, fans, extractors, pumps), and take immediate corrective action. Inspect and repair all mechanical equipment including, but not limited to: appliances, HVAC, electrical and plumbing components, diagnose and repair of boilers, pumps and related components. Use the Lockout/Tagout system before performing any maintenance work. Display thorough knowledge of maintenance contracts and vendors. Display advanced knowledge of engineering computer programs related to preventative maintenance, energy management, and other systems, including devices that interact with such programs. Perform advanced troubleshooting of hotel Mechanical, Electrical, and Plumbing (MEP) systems. Display the ability to train and mentor other engineers (e.g., Engineers I, II, and III) as necessary and supervise work in progress and act in a supervisory role in the absence of supervisors and/or management. Display ability to perform Engineer on Duty responsibilities, including readings and rounds. Follow all company and safety and security policies and procedures; report any maintenance problems, safety hazards, accidents, or injuries; complete safety training and certifications; and properly store flammable materials. Ensure uniform and personal appearances are clean and professional, maintain confidentiality of proprietary information, and protect company assets. Welcome and acknowledge all guests according to company standards, anticipate and address guests’ service needs, assist individuals with disabilities, and thank guests with genuine appreciation. Adhere to quality expectations and standards. Develop and maintain positive working relationships with others, support team to reach common goals, and listen and respond appropriately to the concerns of other employees. Speak with others using clear and professional language. Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance and heavier lifting or movement tasks with assistance. Move up and down stairs, service ramps, and/or ladders. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Enter and locate work-related information using computers and/or point of sale systems. Perform other reasonable job duties as requested. PREFERRED QUALIFICATIONS Education: High school diploma or G.E.D. equivalent. Certificate in two-year technical diploma program for HVAC/refrigeration. Related Work Experience: Extensive experience and training in general maintenance (advanced repairs), electrical or refrigeration, exterior and interior surface preparation and painting. At least 2 years of hotel engineering/maintenance experience. Supervisory Experience: No supervisory experience. REQUIRED QUALIFICATIONS License or Certification: Valid Driver’s License License or certification in refrigeration or electrical (earned, or currently working towards receiving) Universal Chlorofluorocarbon (CFC) certification Must meet applicable state and federal certification and/or licensing requirements. At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. We’re proud to offer a wide range of benefits designed to support you and your family, enrich your wellbeing, empower your career, and spark new adventures. Benefits eligibility and options may vary depending on employment status, position and location. Click ___ to learn more. Marriott Hotels strive to elevate the art of hospitality, innovating at every opportunity while keeping the comfort of the oh-so-familiar all around the globe. As a host with Marriott Hotels, you will help keep the promise of “Wonderful Hospitality. Always.” by delivering thoughtful, heartfelt, forward-thinking service that upholds and builds upon this living legacy. With the name that’s synonymous with hospitality the world over, we are proud to welcome you to explore a career with Marriott Hotels. In joining Marriott Hotels, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you. JW Marriott is part of Marriott International's luxury portfolio and consists of more than 100 beautiful properties in gateway cities and distinctive resort locations around the world. JW believes our associates come first. Because if you’re happy, our guests will be happy. JW Marriott associates are confident, innovative, genuine, intuitive, and carry on the legacy of the brand’s namesake and company founder, J.Willard Marriott. Our hotels offer a work experience unlike any other, where you’ll be part of a community and enjoy true camaraderie with a diverse group of co-workers. JW creates opportunities for training, development, recognition and most importantly, a place where you can pursue your passions in a luxury environment with a focus on holistic well-being. Treating guests exceptionally starts with the way we take care of our associates. That’s The JW Treatment™. In joining JW Marriott, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.

Additional InformationFull Time Job Number25165739 Job CategoryEngineering & Facilities LocationBethesda Marriott, 5151 Pooks Hill Road, Bethesda, Maryland, United States, 20814___ ScheduleFull Time Located Remotely?N Position Type Non-Management Pay Range: $28.26-$30.39 per hour POSITION SUMMARY Respond and attend to guest repair requests. Communicate with guests/customers to resolve maintenance issues. Perform preventive maintenance on tools and equipment, including cleaning and lubrication. Visually inspect tools, equipment, or machines. Carry equipment (e.g., tools, radio). Identify, locate, and operate all shut-off valves for equipment and utility shut-offs for buildings. Maintain maintenance inventory and requisition parts and supplies as needed. Assure each day’s activities and problems that occur are communicated to the other shifts using approved communication programs and standards. Display thorough knowledge of building systems, emergency response, and building documentation including reading standard blue prints and electrical schematics concerning plumbing and HVAC. Display advanced engineering operations skills and general mechanical ability. Display professional journeyman level expertise in at least three of the following areas with basic skills in the remaining: air conditioning and refrigeration, electrical, plumbing, carpentry and finish skills, mechanical, general building management, pneumatic/electronic systems and controls, and/or energy conservation. Display solid knowledge and skill in the safe use of hand and power tools and other materials required to perform repair and maintenance tasks. Safely perform highly complex repairs of the physical property, electrical, plumbing and mechanical equipment, air conditioners, refrigeration and pool heaters - ensuring all methods, materials and practices meet company standards and Local and National codes - with little or no supervision. Perform routine inspections of the entire property, noting safety hazards, lack of illumination, down equipment (such as ice makers, fans, extractors, pumps), and take immediate corrective action. Inspect and repair all mechanical equipment including, but not limited to: appliances, HVAC, electrical and plumbing components, diagnose and repair of boilers, pumps and related components. Use the Lockout/Tagout system before performing any maintenance work. Display thorough knowledge of maintenance contracts and vendors. Display advanced knowledge of engineering computer programs related to preventative maintenance, energy management, and other systems, including devices that interact with such programs. Perform advanced troubleshooting of hotel Mechanical, Electrical, and Plumbing (MEP) systems. Display the ability to train and mentor other engineers (e.g., Engineers I, II, and III) as necessary and supervise work in progress and act in a supervisory role in the absence of supervisors and/or management. Display ability to perform Engineer on Duty responsibilities, including readings and rounds. Follow all company and safety and security policies and procedures; report any maintenance problems, safety hazards, accidents, or injuries; complete safety training and certifications; and properly store flammable materials. Ensure uniform and personal appearances are clean and professional, maintain confidentiality of proprietary information, and protect company assets. Welcome and acknowledge all guests according to company standards, anticipate and address guests’ service needs, assist individuals with disabilities, and thank guests with genuine appreciation. Adhere to quality expectations and standards. Develop and maintain positive working relationships with others, support team to reach common goals, and listen and respond appropriately to the concerns of other employees. Speak with others using clear and professional language. Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance and heavier lifting or movement tasks with assistance. Move up and down stairs, service ramps, and/or ladders. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Enter and locate work-related information using computers and/or point of sale systems. Perform other reasonable job duties as requested. PREFERRED QUALIFICATIONS Education: High school diploma or G.E.D. equivalent. Certificate in two-year technical diploma program for HVAC/refrigeration. Related Work Experience: Extensive experience and training in general maintenance (advanced repairs), electrical or refrigeration, exterior and interior surface preparation and painting. At least 2 years of hotel engineering/maintenance experience. Supervisory Experience: No supervisory experience. REQUIRED QUALIFICATIONS License or Certification: Valid Driver’s License License or certification in refrigeration or electrical (earned, or currently working towards receiving) Universal Chlorofluorocarbon (CFC) certification Must meet applicable state and federal certification and/or licensing requirements. At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. We’re proud to offer a wide range of benefits designed to support you and your family, enrich your wellbeing, empower your career, and spark new adventures. Benefits eligibility and options may vary depending on employment status, position and location. Click ___ to learn more. Marriott Hotels strive to elevate the art of hospitality, innovating at every opportunity while keeping the comfort of the oh-so-familiar all around the globe. As a host with Marriott Hotels, you will help keep the promise of “Wonderful Hospitality. Always.” by delivering thoughtful, heartfelt, forward-thinking service that upholds and builds upon this living legacy. With the name that’s synonymous with hospitality the world over, we are proud to welcome you to explore a career with Marriott Hotels. In joining Marriott Hotels, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you. JW Marriott is part of Marriott International's luxury portfolio and consists of more than 100 beautiful properties in gateway cities and distinctive resort locations around the world. JW believes our associates come first. Because if you’re happy, our guests will be happy. JW Marriott associates are confident, innovative, genuine, intuitive, and carry on the legacy of the brand’s namesake and company founder, J.Willard Marriott. Our hotels offer a work experience unlike any other, where you’ll be part of a community and enjoy true camaraderie with a diverse group of co-workers. JW creates opportunities for training, development, recognition and most importantly, a place where you can pursue your passions in a luxury environment with a focus on holistic well-being. Treating guests exceptionally starts with the way we take care of our associates. That’s The JW Treatment™. In joining JW Marriott, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.

Additional InformationFull Time Job Number25165739 Job CategoryEngineering & Facilities LocationBethesda Marriott, 5151 Pooks Hill Road, Bethesda, Maryland, United States, 20814___ ScheduleFull Time Located Remotely?N Position Type Non-Management Pay Range: $28.26-$30.39 per hour POSITION SUMMARY Respond and attend to guest repair requests. Communicate with guests/customers to resolve maintenance issues. Perform preventive maintenance on tools and equipment, including cleaning and lubrication. Visually inspect tools, equipment, or machines. Carry equipment (e.g., tools, radio). Identify, locate, and operate all shut-off valves for equipment and utility shut-offs for buildings. Maintain maintenance inventory and requisition parts and supplies as needed. Assure each day’s activities and problems that occur are communicated to the other shifts using approved communication programs and standards. Display thorough knowledge of building systems, emergency response, and building documentation including reading standard blue prints and electrical schematics concerning plumbing and HVAC. Display advanced engineering operations skills and general mechanical ability. Display professional journeyman level expertise in at least three of the following areas with basic skills in the remaining: air conditioning and refrigeration, electrical, plumbing, carpentry and finish skills, mechanical, general building management, pneumatic/electronic systems and controls, and/or energy conservation. Display solid knowledge and skill in the safe use of hand and power tools and other materials required to perform repair and maintenance tasks. Safely perform highly complex repairs of the physical property, electrical, plumbing and mechanical equipment, air conditioners, refrigeration and pool heaters - ensuring all methods, materials and practices meet company standards and Local and National codes - with little or no supervision. Perform routine inspections of the entire property, noting safety hazards, lack of illumination, down equipment (such as ice makers, fans, extractors, pumps), and take immediate corrective action. Inspect and repair all mechanical equipment including, but not limited to: appliances, HVAC, electrical and plumbing components, diagnose and repair of boilers, pumps and related components. Use the Lockout/Tagout system before performing any maintenance work. Display thorough knowledge of maintenance contracts and vendors. Display advanced knowledge of engineering computer programs related to preventative maintenance, energy management, and other systems, including devices that interact with such programs. Perform advanced troubleshooting of hotel Mechanical, Electrical, and Plumbing (MEP) systems. Display the ability to train and mentor other engineers (e.g., Engineers I, II, and III) as necessary and supervise work in progress and act in a supervisory role in the absence of supervisors and/or management. Display ability to perform Engineer on Duty responsibilities, including readings and rounds. Follow all company and safety and security policies and procedures; report any maintenance problems, safety hazards, accidents, or injuries; complete safety training and certifications; and properly store flammable materials. Ensure uniform and personal appearances are clean and professional, maintain confidentiality of proprietary information, and protect company assets. Welcome and acknowledge all guests according to company standards, anticipate and address guests’ service needs, assist individuals with disabilities, and thank guests with genuine appreciation. Adhere to quality expectations and standards. Develop and maintain positive working relationships with others, support team to reach common goals, and listen and respond appropriately to the concerns of other employees. Speak with others using clear and professional language. Move, lift, carry, push, pull, and place objects weighing less than or equal to 50 pounds without assistance and heavier lifting or movement tasks with assistance. Move up and down stairs, service ramps, and/or ladders. Reach overhead and below the knees, including bending, twisting, pulling, and stooping. Enter and locate work-related information using computers and/or point of sale systems. Perform other reasonable job duties as requested. PREFERRED QUALIFICATIONS Education: High school diploma or G.E.D. equivalent. Certificate in two-year technical diploma program for HVAC/refrigeration. Related Work Experience: Extensive experience and training in general maintenance (advanced repairs), electrical or refrigeration, exterior and interior surface preparation and painting. At least 2 years of hotel engineering/maintenance experience. Supervisory Experience: No supervisory experience. REQUIRED QUALIFICATIONS License or Certification: Valid Driver’s License License or certification in refrigeration or electrical (earned, or currently working towards receiving) Universal Chlorofluorocarbon (CFC) certification Must meet applicable state and federal certification and/or licensing requirements. At Marriott International, we are dedicated to being an equal opportunity employer, welcoming all and providing access to opportunity. We actively foster an environment where the unique backgrounds of our associates are valued and celebrated. Our greatest strength lies in the rich blend of culture, talent, and experiences of our associates. We are committed to non-discrimination on any protected basis, including disability, veteran status, or other basis protected by applicable law. We’re proud to offer a wide range of benefits designed to support you and your family, enrich your wellbeing, empower your career, and spark new adventures. Benefits eligibility and options may vary depending on employment status, position and location. Click ___ to learn more. Marriott Hotels strive to elevate the art of hospitality, innovating at every opportunity while keeping the comfort of the oh-so-familiar all around the globe. As a host with Marriott Hotels, you will help keep the promise of “Wonderful Hospitality. Always.” by delivering thoughtful, heartfelt, forward-thinking service that upholds and builds upon this living legacy. With the name that’s synonymous with hospitality the world over, we are proud to welcome you to explore a career with Marriott Hotels. In joining Marriott Hotels, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you. JW Marriott is part of Marriott International's luxury portfolio and consists of more than 100 beautiful properties in gateway cities and distinctive resort locations around the world. JW believes our associates come first. Because if you’re happy, our guests will be happy. JW Marriott associates are confident, innovative, genuine, intuitive, and carry on the legacy of the brand’s namesake and company founder, J.Willard Marriott. Our hotels offer a work experience unlike any other, where you’ll be part of a community and enjoy true camaraderie with a diverse group of co-workers. JW creates opportunities for training, development, recognition and most importantly, a place where you can pursue your passions in a luxury environment with a focus on holistic well-being. Treating guests exceptionally starts with the way we take care of our associates. That’s The JW Treatment™. In joining JW Marriott, you join a portfolio of brands with Marriott International. Be where you can do your best work, begin your purpose, belong to an amazing global team, and become the best version of you.

Senior Lead AI Engineer (AI Foundations, LLM Core) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (FM Hosting, LLM Inference) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (AI Foundations, Python) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead AI Engineer (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at ___. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ___ For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description CE Construction Engineer Requirements: • Bachelor’s degree in construction management or engineering (electrical, mechanical, civil) or related., • 7 years minimum construction field or management experience in the development, review and management of construction projects and agreements, preferably with transit-oriented joint development and/or adjacent construction projects., • Roadway Worker Protection Training Level 2 (RWP) within 3 months from hire., • Experience in alternate delivery projects including design-build and CMAR., • Excellent written and verbal communication skills., • Proficiency with MS Office Suite (Outlook, Word, Excel, Visio, PowerPoint, etc.) and ProCore., • Knowledge of the materials, means & methods used in general construction for compliance with industry standards, compliance with design drawings and specifications and the Adjacent Construction Project Manual., • Understanding of railroad transportation and construction of fixed facilities (tunnels, buildings, etc)., • Knowledge of construction and or project management principles, practices, and tools., • Knowledge of construction equipment, SAFE / OSHA policies, procedures, and strategies which promote effective safe operations in the protection of the public, employees, and facilities. · Researches Documentum database and other resources to retrieve requested information for Owners, Developers and Contractors (ODC) so that ODC can prepare project drawings, exhibits and calcs. Provides external customers with pertinent information so that their designs and work can be properly coordinated to avoid impacts to property and facilities. · Utilizes a combination of software programs (i.e., Documentum, Google Earth/Maps, emergency Maps, ArcGIS), site visits and prior, specific project knowledge to review and analyze ODC plans, exhibits and documents related to projects to determine proximity to potential impact to property, facilities, operations and patrons. Confirms that all necessary information is provided to credibly evaluate the impacts zone of influence. Prepares Impact Evaluation Forms so projects can be properly coordinated and tracked to avoid impacts.. · Reviews, analyzes, and confirms ODC project impacts and arranges introductory meeting(s) with ODC and provides information/instruction on Adjacent Construction Project Manual (ACPM), Design Criteria, standards, specifications, and requirements for working adjacent to any facility. Provides detailed instruction and guidance on our submittal guidelines and project communication to avoid impacts to ODC schedule. · Develops time/cost estimates of our support forces, engineering, and crew, required to complete project and prepares corresponding agreement letters. Prepares funding invoices to ODC and utility certs for our LAND office for use in development of the Permit for each project assigned. · Works with PMs and other project stakeholders to develop Memorandums of Understandings and Project Design and Construction Agreements for third party management of structures and facilities to be owned and maintained by us. Provides review of Contract bid documents to assure our interests are adequately reflected in contract documents. Coordinates communications with internal offices/departments and external entities to assure our needs are met. Oversees activities of other augmentation/contractor staff. · Facilitates and processes ODC’s badging requests and Roadway Worker Protection trainings. · Reviews ODC documents, including but not limited to monitoring reports, for completeness, accuracy, and content prior to sending for discipline specific review. · Oversees, coordinates, and tracks timely multidisciplinary subject matter expert’s (i.e., structural, mechanical, electrical, ELES, SAFE and PARK) review of ODC submittal docs (i.e., plans, calcs, specs and work plans) for each adjacent project. Compiles, coordinates, and reconciles comments from our departments to be delivered to ODC / reviews comments prior to returning to ODC. Leads and coordinates multidisciplinary design review meetings and follow-up · Facilitates design review meetings, site visits, pre-condition surveys. Coordinates Site Specific Work Plan (SSWP) distribution and approvals, advising various operational offices of upcoming work. Manage all our pre-construction procedures are performed per established guidelines, permits for access to our property are obtained and impacted departments are aware of and provide review and input of proposed ODC construction activities. · Oversees all aspects of involved activity of contractor's adjacent projects confirming compliance with our procedures. Activities include minimally checking status of all projects assigned, weekly. Attends project progress meetings weekly. Reviews biweekly project personnel charges to manage finances and request funding invoices. Maintains project files and records. Addresses and resolves construction issues that require coordination with other offices. · Enter track rights in the General Orders Track Rights System (GOTRS) to allow track access for ODCs. Prepare and submit Switching Orders and confirm accuracy and completeness before submission. Arrange for Crew Support on a weekly basis for projects that are both wayside and non-wayside. · Visit project sites regularly as required by management and/or as needed by project activities to confirm our facilities are not impacted and ODC is in compliance with approved plans/safety measures, gain an improved understanding of the ODC's project limits in relation to the our Zone of Influence and identify potential problems during construction. • Ability to strategically manage projects by finding common ground with internal partners, expanding and building skillsets to achieve organizational and departmental objectives.

Job Description FST Technical services commissioning (Cx) division is one of the leading Cx firms in the country. We partner with clients for quality assurance in the design, construction, and post-acceptance phases of building projects. We ensure that equipment in mechanical, electrical, plumbing, and associated systems are designed, installed, and functionally tested to meet the clients requirements and design intent. About us: The building commissioning (Cx) process strives for reliable and energy efficient building operation and maintenance well into the future. Our staff members have been vocal in the industry for nearly three decades, and senior members of the building commissioning association (BCxA) have come from our ranks. Our portfolio is extremely diverse, and we consult on a variety of projects including cultural/educational institutions, airports/public infrastructure, healthcare facilities, manufacturing complexes, and data centers across the country. We are experiencing an exciting period of growth and are continuing to be a trailblazer in the industry while holding true to our core values: innovation, safety, service, accountability, fellowship and expertise. Our success is a direct reflection of the talent and dedication of our extraordinary team. We are looking for motivated people as we head into this exciting new chapter. Join us in making a positive impact each day in the building construction industry! About the job: • A commissioning project engineer reports to a team leader and is responsible for the delivery and execution of our professional services tasks for equipment in mechanical, electrical, plumbing, and associated systems., • Primary activities include completing office assignments, time and expense management, in-field installation validation, field observation reports, functional performance testing, meeting attendance and documentation, on-site and factory witness testing, submittal reviews, and design documentation evaluation., • Additional activities include executing target billable hours, managing tasks within time budgeted, leading cx meetings, assisting the construction team with identifying/solving technical issues when they arise, and maintaining positive relations with existing clients on assigned projects., • Administrative activities include supporting the team leader in coordinating with other project engineers and senior project engineers regarding weekly staff scheduling, training/mentoring team members on proper documentation, field procedures, and equipment usage, and participating in the company-wide safety and training programs., • Completed a Bachelors Degree in HVACR, Mechanical or Electrical Engineering, construction management or an associates degree in engineering technology or related trade school, construction, maintenance, or engineering controls experience, • 5+ years employment in a staff or intern position related to maintenance, construction, or engineering controls or 1+ years in the Cx industry, • 3+ years of experience managing the interconnectivity of building equipment including pumps, fans, motors, air ventilation, chillers, boilers, steam distribution, heat absorption, building automation systems, optimization techniques, electrical distribution, and fire alarm systems., • Knowledge of construction drawings, specifications, bid process, and ancillary industry documents, • Aptitude to solve problems independently and in a team environment, • Affective verbal and written communication skills, • Public speaking and presentation skills, • Adaptability to varying indoor and outdoor working conditions, • Physical fitness, capability to lift at least 30 pounds, and ability to climb ladders, • Trade association involvement, • EIT, ACP, CEM or similar certification from experience, • P.E. License is preferred, • OSHA 10 or other safe workplace certifications KyWG541RRD

Job Description Umbra is an American space technology company delivering advanced systems, from sensors to spacecraft, that empower customers worldwide with unmatched access to critical information from space. Our mission is simple and ambitious: redefine space—for people, systems, and missions in every domain. Umbra’s ecosystem operates through three business units: Remote Sensing (the data), Space Systems (the components), and Mission Solutions (the platforms). Together, our teams develop capabilities that deliver persistent access, resilient performance, and mission-ready solutions, advancing U.S. space leadership while keeping the world safe and informed. About the Team Mission Solutions – The Platforms Mission Solutions builds on Umbra’s expertise in remote sensing and spacecraft operations to engineer platforms purpose-built for U.S. and allied defense and intelligence missions. Whether it’s a custom payload, a full-stack spacecraft, or the infrastructure behind an entire constellation, our team delivers secure, resilient systems tailored to exacting requirements and built on timelines that match the urgency of the mission. If you want to work on cutting-edge space technology that’s redefining what’s possible in space platforms, you belong here at Umbra. About the Job We are seeking a highly skilled and motivated Senior RF Systems Engineer to lead the design, development, and analysis of space-based RF systems, including bothactive and passive architectures. In this role, you will support Umbra Mission Solutions as a critical contributor to ambitious programs and capture activities, working across teams to conceive, define, implement, and validate high-performance RF systems. This is a unique role, providing you with both ownership and oversight of new and innovative spacecraft products to support a variety of Mission Solutions customer mission sets. Our aim is to hire this position to work in either our Santa Barbara/Goleta, CA office or Arlington, VA office. Key Responsibilities • Lead the design and development of active (e.g., transmitters, amplifiers, phased arrays) and passive (e.g., antennas, filters, waveguides) RF systems for spacecraft., • Perform RF system architecture design, trade studies, link budget analysis, and requirements definition., • Conduct detailed RF modeling, simulation, and analysis using tools such as HFSS, CST, ADS, or similar., • Collaborate with mechanical, thermal, digital, and systems engineers to ensure integrated designs optimized for the given application., • Generate technical documentation including requirements, interface control documents (ICDs), and test plans., • Oversee and support the testing and validation of RF hardware., • Interface with suppliers, internal stakeholders, and customers throughout the lifecycle of the RF system., • Provide technical leadership and mentoring to junior engineers and participate in design reviews. Required Qualifications • Bachelor’s degree in Electrical Engineering, Physics, or a related field., • Minimum 7+ years of hands-on experience in RF system design, preferably for space applications., • Deep knowledge of RF and microwave engineering, with expertise in both active and passive components., • Proficiency with industry-standard RF simulation tools (e.g., CST, HFSS, ADS, MATLAB)., • Experience with space-qualified hardware development and knowledge of environmental constraints for on-orbit systems., • Familiarity with relevant standards such as MIL-STD, NASA, ECSS, or CubeSat specifications., • Experience with space communications systems, radar, remote sensing, or SIGINT payloads., • Hands-on experience with RF testing equipment (network analyzers, spectrum analyzers, signal generators, etc.)., • Experience with antenna modeling and simulation tools (e.g. GRASP)., • Strong systems engineering background and experience working in cross-disciplinary development teams., • Flexible Time Off, Sick, Family & Medical Leave, • Medical, Dental, Vision, Life, LTD, STD (employer funded), • Vol Life, Critical Illness, Accidental, Hospital Indemnity, Pet Insurance (employee funded), • 401k with 3% non-elective company contribution, • Stock Options, • Free parking, • Free lunch in office daily Umbra is an Equal Opportunity Employer. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state, or local law. Employment Eligibility Verification In compliance with federal laws, all hired persons will be required to verify their identity and eligibility to work in the United States by completing the required Employment Eligibility Verification Form (I-9 Form) upon hire. ITAR/EAR Requirements This position may include access to technology and/or data that is subject to U.S. export controls pursuant to ITAR and EAR. To comply with federal export controls, all persons hired must be a U.S. citizen, U.S. national, U.S. lawful permanent resident, refugee or asylee as defined by 8 U.S.C. § 1324b(a)(3), or must otherwise be eligible to obtain the required authorizations from the U.S. Department of State and/or U.S. Department of Commerce as applicable. Pay Transparency This job posting may cover multiple career levels. To ensure greater transparency, we provide base salary ranges for all roles, regardless of location. Our standard pay ranges are based on the role’s function and level, benchmarked against similar growth-stage companies. Compensation may vary based on geographical location, as certain regions may have different cost-of-living factors. The final offer will also be influenced by the candidate's skills, responsibilities, and relevant experience. Compensation Range The Compensation Range for this role is $160,000 - $190,000 DOE.

Job DescriptionDescription: DeepSig Inc. is a venture backed and product centric technology startup building revolutionary wireless processing software solutions using cutting edge machine learning techniques to transform baseband processing, wireless sensing, and other key wireless applications. We are seeking a Sr. GPU RAN Engineer to drive innovation and performance optimization in next-generation wireless networks. This role combines expertise in GPU/CPU computing with advanced wireless system design, focusing on 5G/6G RAN development, signal processing, and performance benchmarking. Key Responsibilities: • Design, develop, and optimize real-time, latency-sensitive applications on CPU/GPU platforms for 5G/6G RAN systems., • Develop, debug, and test signal processing algorithms at the PHY/MAC layer., • Benchmark, profile, and optimize radio protocol performance across GPU/CPU/NIC platforms., • Build and maintain tools/frameworks for performance verification, regression analysis, and bottleneck detection., • Collaborate with cross-functional teams (hardware, firmware, and software) to integrate and optimize RAN solutions., • Research and apply AI/ML techniques for 6G RAN innovation., • BS/MS/PhD in Computer Science, Electrical Engineering, or related field., • 8–10+ years in software/hardware development, with focus on wireless communications and/or cellular networks., • Advanced skills in C/C++, Python, and shell scripting., • Strong knowledge of GPU, CPU, or DSP architectures, memory, I/O, and networking interfaces., • Experience with SoC firmware and system integration for eNodeB/gNodeB or terminal products., • Proficiency with CUDA or similar frameworks highly preferred., • Proven track record in performance analysis, optimization, and benchmarking., • Strong analytical and debugging skills., • 6G AI/ML RAN research experience is highly desirable, • Ability to visualize and analyze large-scale performance data., • Collaborative mindset, comfortable working across hardware, firmware, and software disciplines., • Passion for learning and applying new GPU advancements to next-gen radio stacks. WORKING AT DEEPSIG DeepSig is growing its technical team while cultivating a collaborative, agile, and fun small-team culture. We value creativity, knowledge sharing, and employee growth, and we encourage participation in scientific publications, conferences, and open-source software. We offer competitive salaries and benefits, an employee stock option grant program, an environment where we are excited to be transforming and disrupting how signal processing is done with AI/ML, a welcoming and inclusive environment, a flexible schedule, and a great work / life balance. DeepSig is an equal-opportunity employer and does not discriminate based on race, ethnicity, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability. We are dedicated to cultivating an inclusive, diverse, and engaging workplace where individuals feel fulfilled, inspired, and motivated. We value the unique perspectives that our team brings. Requirements:

Job DescriptionSalary: Location: Bethesda, MD Category: Systems Engineer Travel Required: No Remote Type: Onsite Clearance: Top Secret/SCI Sunayu, LLC is looking for a highly skilled Systems Engineer with deep expertise in operating systems, hardware, GPU, and high-speed networking. In this role, you will design, develop, and optimize GPU clusters that power enterprise AI for the mission customers. This is a 100% on-site position. All work must be performed at the customer site in Bethesda at the Intelligence Community Campus. Primary Responsibilities • GPU Cluster Engineering: Design, configure, and maintain GPU Clusters. Collaborate with a multidisciplinary team to define and optimize architectures, ensuring they meet performance, power efficiency, and feature requirements., • Operating System Integration:Work closely with AI/ML engineers to ensure smooth GPU integration with Linux-based systems. Optimize GPU drivers for compatibility, reliability, and performance. Provide regular maintenance and updates., • Performance Optimization:Analyze GPU performance, identify bottlenecks, and develop strategies to improve efficiency across hardware and software layers., • Tooling and Automation:Build and maintain debugging tools, profiling utilities, and performance analysis software for Linux environments. Leverage scripting and configuration tools such as Bash, Python, Ansible, Puppet, and Salt., • Compliance & Documentation: Maintain technical documentation, architectural specifications, and Linux best practices. Support ATO (Authority to Operate) and ensure compliance with federal security standards. Basic Qualifications • Bachelor's or higher degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field with at least 12 years of related technical experience. Additional years of experience may be considered in lieu of a degree., • 10+ years of relevant systems engineering experience, • Experience in managing NVIDIA GPU data center platforms. (DGX, HGX, H200, H100, L4s)., • Knowledge of enterprise server components (storage/network controllers, HBA, SSDs)., • Strong expertise with Linux distributions. (RHEL, Ubuntu, Oracle, and Rocky)., • Excellent problem-solving skills and the ability to collaborate within a team., • Due to the nature of the government contracts we support, US Citizenship is required., • TS/SCI clearance with Polygraph required or a TS/SCI and willingness to obtain a Polygraph prior to starting. Preferred Qualifications • Experience with Kubernetes cluster management and AI/ML workflow orchestration (Argo, Airflow, and Kubeflow)., • Familiarity with GPU virtualization and cloud computing., • Experience with Prometheus/Grafana for monitoring., • Knowledge of distributed resource scheduling systems (Slurm (preferred), LSF, etc.).

Job Description SUMMARY Stampede Ventures, a company within the BSNC family, is currently seeking a qualified, highly motivated individual with DoD contract experience. The candidate will be performing all facets of the Bering Straits East Coast model to include safety and quality control management, submittal tracking, daily reporting, communicating deficiencies to the customer, running multiple sites simultaneously, and other various tasks as assigned. This position is in support of a current contract that supports various DOD locations. Depending on workload, this position may be extended to additional contracts as needed. Applicants will be contacted via phone or email within ten (10) business days of submittal. ESSENTIAL DUTIES & RESPONSIBILITIES The Essential Duties and Responsibilities are intended to present a descriptive list of the range of duties performed for this position and are not intended to reflect all duties performed within the job. Other duties may be assigned. • Previous Federal DoD contract experience, • Management of task order projects in the Washington DC region, • Ability to read drawings / prints., • Safety experience in multi-trade construction projects, • Knowledge of OSHA and EM-385 requirements, • Experience enforcing corporate or site quality control programs., • Written and Oral communication with customer, subcontractors, and internally to provide project updates, • Have existing relationships with Federal government & DoD customers in the DC Metro Region, • Previous experience working with 8(a) companies, • Other duties as assigned QUALIFICATIONS - EXPERIENCE, EDUCATION AND CERTIFICATION To perform this job successfully, an individual must be able to satisfactorily perform each essential duty. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Required (Minimum) Qualifications • Three years’ experience as a quality control manager on industrial or commercial projects, • Quality Manager with a minimum of 10 years in related work OR BS degree in engineer, architect, or construction management with 5 years of experience as a construction Contractor Quality Control Manager / Contractor Quality Control System Manager / Quality Control Manager., • Completed USACE/NAVFAC Construction Quality Management for Contractors (CQM-C) Training with the past 5 years., • ICD/ICS 705 training. The course should be in-person and a minimum of 32 hours and include an examination at the end of the training. Successful completion of the course shall be documented by a certificate of completion, or equivalent, provided to the attendee, within ninety (90) days after hire., • Experience on projects exceeding $500,000 (specifically HVAC and electrically heavy projects), • Experience working with the USACE, • Must be US Citizen, • OSHA 30 Certification (can be obtained after employment) Valid Driver’s License, • Current or ability to get a security clearance Knowledge, Skills and Abilities • Current favorable National Agency Check with Inquiry (NACI), in accordance with AR 380-67, • Valid Driver’s License, • Treats people with respect; Keeps commitments; Inspires the trust of others; Works with integrity and ethically; Upholds organizational values., • Knowledge of Local vendor and subcontractor companies., • Must be organized and have excellent communication skills. NECESSARY PHYSICAL REQUIREMENTS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Employees must always maintain a constant state of mental alertness. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential and marginal functions may require maintaining physical condition necessary for bending, stooping, sitting, walking, or standing for prolonged periods of time; most of time is spent sitting in a comfortable position with frequent opportunity to move about. DOT COVERED/SAFETY-SENSITIVE ROLE REQUIREMENTS • This position is not subject to federal requirements regarding Department of Transportation “safety-sensitive” functions. WORK ENVIRONMENT Work Environment characteristics described here are representative of those that must be borne by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee often works in an office environment. The employee is required to visit job sites regularly and will be subject to a lift and/or move up to 25 pounds. The employee is occasionally required to stand, climb or balance and stoop, kneel, crouch or crawl. During visits to job sites, the employee may be exposed to extreme cold or hot weather conditions. SUPERVISORY RESPONSIBILITIES • No supervisory responsibilities will be required for this position. ADDITIONAL QUALIFYING FACTORS As a condition of employment, may be required to pass a pre-employment drug screening, as well as have acceptable reference and background check results to obtain access to military base. Must have reliable transportation to/from work as a necessity and must be able to obtain access to military installations. Shareholder Preference. BSNC gives hiring, promotion, training, and retention preference to BSNC shareholders, shareholder descendants and shareholder spouses who meet the minimum qualifications for the job. Bering Straits Native Corporation is an equal opportunity employer. All applicants will receive consideration for employment without regard to any status protected by state or federal law, or any other basis prohibited by law.

Job Description Ready to make your mark at a 100% employee-owned firm? Join Wiley|Wilson, an architecture and engineering (AE) firm with over 180 employee-owners across five locations dedicated to serving our valued clients. This is an exciting opportunity to become part of a passionate team of engineering and architectural professionals. We are looking for a highly skilled and experienced Professional Engineer specializing in Medium Voltage System Design to join our dynamic team. As a leader in the A/E industry, we are committed to providing innovative and sustainable solutions in electrical power distribution. This is a fantastic opportunity to contribute to the design and implementation of medium voltage systems that power critical infrastructure and support our clients' growth. What we offer: We offer a competitive salary along with employee ownership through our ESOP program and work-from-home flexibility with details provided upon inquiry. Our generous benefits package includes multiple group health insurance options, a 401k with up to 6% matching contribution, 24 days of paid time off (PTO), five paid holidays per year, tuition reimbursement, and many other perks. We prioritize work-life balance with benefits such as 80 hours of parental leave for the birth of a child or newly adopted child, a hybrid work schedule, and accommodations for individuals with disabilities. The engineer selected for this position will: • Lead and execute medium voltage system design projects from inception to completion, ensuring compliance with industry standards, codes, and regulations., • Conduct feasibility studies, load flow analyses, short circuit analyses, and voltage drop calculations to determine optimal system configurations., • Develop comprehensive engineering designs, including the selection and specification of equipment such as transformers, switchgear, cables, and protective devices., • 6-10 years of experience in Electrical Engineering., • Bachelor's degree in electrical engineering from an ABET-accredited institution., • Registered Professional Engineer in Virginia or able to obtain reciprocity within three months of the start date., • Field knowledge of medium and low voltage electrical distribution systems., • Proficient in Revit and AutoCAD, with familiarity in system modeling software (e.g., ETAP, SKM), and knowledge of sustainable design practices., • Prior consulting experience, especially in federal government design projects, is preferred. Wiley|Wilson is a full-service architecture-engineering firm, specializing in creating innovative and functional design solutions for our government, institutional, and private-sector clients around the world. Our diverse mix of projects, generous benefits, and focus on professional growth provides a truly unique opportunity for you to elevate your career. As a 100-percent employee-owned company, our 180+ employees share a stake in our success through an Employee Stock Ownership Plan (ESOP). The ownership model, coupled with our focus on service and engagement, creates a distinct company culture. Wiley|Wilson has offices in Alexandria, Lynchburg, Richmond, VA; Raleigh, NC; and Atlanta, GA. Other: • EOE/AAP, Disability/Covered veteran, Drug Free Workplace, • A525, Electrical Project Engineer, medium voltage design Job Posted by ApplicantPro

Job Description Salary: $45.00 to $50.00 per hour 1st Classs Stationary Engineer - MedStar Washington Hospital Center - Multiple Shifts Needed Crothall Healthcare is a Compass One Company that provides specialized, high-quality, innovative, and responsive support services exclusively to the healthcare industry. Crothall serves many of the Top 100 Hospitals throughout its over 1300 healthcare service teams in 46 states. Crothall has been recognized as one of Modern Healthcare’s Best Places to Work and Best Places to Work in Pennsylvania since 2013 and Becker's Top 150 Places to Work since 2016. A division of Compass Group USA, we have more than 26,000 team members. Our core services include: Environmental Services, Healthcare Technology Solutions, Patient Transportation, Laundry & Linen, Facilities Management, and Ambulatory EVS. Learn more at . Job Summary Ability to do the work of a Boiler Plant & Chiller Operator without more than normal supervision. Must have the ability to perform some tasks including operating and monitoring of high-pressure Boiler Plants and auxiliary equipment. Ability to recognize and detect abnormal high pressure boiler plant and steam system operating conditions and take immediate actions to eliminate emergency situations and restore normal operating conditions; collect and test water samples and determine the amount and type of chemicals needed to control or meet various boiler chemistry parameters and achieve desired results. Perform constant meter readings and record findings for fuel oil supply and steam production. Work under the supervision of a Plant Director or Chief-level employee who reviews work for completion. Work with and direct 3rd grade operators. Healthcare experience strongly preferred. Qualifications/Experience: Experience with the starting, operating, adjusting, and stopping of high-pressure steam boilers fueled by natural gas and fuel oil, auxiliary equipment, and other equipment in a steam plant Operates and controls auxiliary equipment requiring continuous attention to monitor efficiency and control formation of pollutants in accordance with local, state, and federal pollution control requirements Operates, controls, and maintained a variety of auxiliary equipment such as centrifugal pumps, heat exchangers, fans, deaerators, flash tanks, condensate receivers, water softeners, steam traps, steam PRV’s, OSY valves, VFD’s Maintained constant observation and record keeping of flow meters, charts, production/supply meters etc., to determine boiler plant status, whether it is meeting or exceeding demands, rate of fuel consumption, etc Performed various operational repairs and preventive maintenance on boilers, cleaned burners, oils and greases moving parts, packs valves and pumps, cleans water/oil strainers and performed other routine operational maintenance Located and repaired limited electrical problems in burner controls, safety devices and other equipment, including replacing flame scanners Collected water samples and tested feed water, boiler water and condensate using standard chemical tests; determined appropriate treatment to control corrosion and chemical concentrations; removed impurities and entrapped gases; and stabilized fluctuating water conditions Adjust blowdown methods and chemical feed pumps as necessary. An applicant for a Class 1 Steam Engineer shall comply with all DC regulations related to the operation and maintenance of boilers including having all necessary code required qualifications. Apply to Crothall today! Crothall is a member of Compass Group USA Click here to Learn More about the Compass Story Associates at Crothall are offered many fantastic benefits. • Medical, • Dental, • Vision, • Life Insurance/ AD, • Disability Insurance, • Retirement Plan, • Flexible Time Off, • Holiday Time Off (varies by site/state), • Associate Shopping Program, • Health and Wellness Programs, • Discount Marketplace, • Identity Theft Protection, • Pet Insurance, • Commuter Benefits, • Employee Assistance Program, • Flexible Spending Accounts (FSAs), • Paid Parental Leave Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. We will consider for employment all qualified applicants, including those with a criminal history (including relevant driving history), in a manner consistent with all applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York Fair Chance Act. We encourage applicants with a criminal history (and driving history) to apply. Applications are accepted on an ongoing basis. Crothall maintains a drug-free workplace. Req ID: 1473933 Crothall Healthcare Abigail Van Eman [[req_classification]]

Job DescriptionSalary: $106,000-$127,000/year This position will support our joint venture with partner company, ATI, Inc. DGI-ATI (JV) has a current need for a full-time Architect/General Engineer. Great Pay and Benefits for an Architect/General Engineer: • Competitive salary; $106,000-$127,000/year depending on experience, • 11 annual paid holidays and minimum 13 days of paid leave;, • Employee and family medical, dental, vision, and prescription insurance with 75% of the premiums paid by the company;, • Employer paid short-term and long-term disability, and life insurance., • 401(k) plan immediately vesting with 4% employer match; and, • Professional development assistance including memberships, professional licenses, and tuition reimbursements. Duties and Responsibilities Duties may include, but not be limited to, the following: • Provides expertise, advisement, coordination, and recommendations on all phases of project development and implementation in direct support of the Bureau of Administration, Office of Operations (A/OPR)., • Serves as a Subject Matter Expert (SME), advise on architectural designs, project planning, space planning, building code analysis and compliance, and construction design reviews and oversight., • Advises on the development and implementation comprehensive project schedules in MS Project including linkages, clusters and time sequencing and the presentation, review and tracking of approved project(s) changes and manages the production of updated schedules., • Develops and/or reviews planning documents; reviews design concepts and detailed designs; conducts ADA building code compliance evaluations., • Develops project budgets and independent cost estimates (ICEs) for projects; scopes of work (SOWs), cost benefit analysis; design life cycle cost estimates; and conducts technical and feasibility studies., • Plans and coordinates a multidisciplinary project team, assists in the procurement of appropriate services by developing SOWs and ICEs for AE services, and negotiating with AE firms to satisfy project staffing requirements., • Works closely with the key stakeholders in planning complex, high priority special projects involving A/OPR; coordinates the involvement of architectural, civil/structural, and specialty disciplines; and provides support in project planning, review, bid, and construction phases., • Meets with all levels of DoS management to discuss project scheduling, project implementation and project management., • Participate and present in briefings and presentations to senior management on project status. Required Qualifications and Experience • Bachelor's degree in Architecture, Architectural Engineering, or related degree with focus in facilities management. GPA of at least a 3.0 on a 4-point scale is preferred., • Project Management Professional (PMP) certification is required at start date or must be obtained within 12 months of hiring and kept up to date., • Must have a minimum of two (2) years experience applying substantive expertise in a facilities project with an emphasis in facilities project planning, resource scheduling, cost monitoring, task assignment and timeline management, as well as project management experience., • Must have knowledge of FAR Regulations and experience with LEED and sustainable design and construction., • Mastery of project management concepts, methods, and best practices to provide expert guidance to A/OPR in meeting short- and long-term operational requirements and in developing plans that optimize operational efficiency and effectiveness in the assigned project management and support area., • Mastery of the full range of principles, concepts, methods, and practices in project management required to oversee the planning and execution of operations and to ensure coordination with other related activities., • Must have excellent customer service skills, excellent written and verbal communication skills, and strong analytic skills., • Thorough knowledge of building codes, Americans with Disabilities (ADA) requirements, and working knowledge of information technology, mechanical, electrical or communication systems., • Working knowledge of AutoCAD and Microsoft Office including Word, Excel, and PowerPoint., • Candidates must be US Citizens with clearance eligibility Job Type: Full-time Pay Range: $106,000-$127,000/year depending on experience Location: Washington, DC Working Hours: Normal Work Hours Monday Friday (anticipate 40 per week). About DGI Dayton Group, Inc. (DGI) is an 8(a), EDWOSB, and HUBZone certified small business, established in 2012 and headquartered in Maryland. We deliver high-quality services to federal agencies, specializing in working at secure federal facilities worldwide. Our core offerings include facility management & operation, construction management, program management, and environmental/EHS services. DGI is committed to the highest standards of security and compliance. Our employees rise to new challenges and reach new heights every day. DGI rewards outstanding performance with great opportunity, compensation, and recognition. This job description is not intended to be all-inclusive. Selected candidate may perform other related duties as assigned to meet the ongoing needs of the organization. DGI-ATI JV provides equal employment opportunities to all qualified individuals, including protected groups, protected veterans and individuals with disabilities. DGI-ATI complies with applicable local, state and federal laws governing nondiscrimination in employment at each location the Company operates. This policy applies to all terms and conditions of employment, including, but not limited to: hiring, placement, promotion, termination, leaves of absence, compensation, and training. We are an E-Verify Employer in the United States. We will provide reasonable accommodations with the application process upon your request as required to comply with applicable laws. If you have a disability and require assistance in this application process, please let your recruiter know.

Job DescriptionOverview: The Operational Test and Evaluation Engineer will be responsible for planning, conducting, and analyzing tests of homeland defense technology systems to ensure operational effectiveness, reliability, and suitability throughout their lifecycle. This role focuses on evaluating systems designed to secure U.S. borders and facilitate the lawful flow of commerce, ensuring compliance with DHS policies and operational requirements in realistic environments. Key Responsibilities: • Test Planning and Strategy Development: Design, develop, and direct operational test plans for homeland defense technologies, such as border surveillance systems, non-intrusive inspection equipment, and trade facilitation systems. Ensure adherence to DHS Acquisition Management Directive (MD 102-01) and CBP’s Operational Requirements Document (ORD) processes., • Test and Evaluation Coordination: Develop and coordinate Test and Evaluation Master Plans (TEMPs), test concepts, and detailed test plans aligned with DHS Directive 026-06 (Test and Evaluation) and CBP mission needs. Collaborate with CBP’s Office of Acquisition and operational stakeholders to align testing with mission objectives., • System Performance Evaluation: Collect and analyze test data to assess the performance, reliability, and suitability of systems like integrated fixed towers, remote video surveillance systems, and cargo scanning technologies in operational border environments., • Documentation and Reporting: Maintain critical documentation, including test plans, reports, and recommendations for system improvements. Prepare Operational Test Reports (OTRs) and briefings for CBP leadership and DHS Science and Technology Directorate (S&T) to support acquisition decisions., • Stakeholder Collaboration: Work with CBP officers, engineers, program managers, and DHS components to ensure effective testing. Engage with external partners, such as other DHS components or interagency partners, to align testing with broader homeland security objectives., • Test Event Leadership: Execute and chair test events, including integrated test planning meetings, Deficiency Review Boards, Safety Review Boards, and Operational Readiness Reviews. Participate in critical design reviews and other meetings to support OT&E execution for border security and trade systems., • Compliance and Risk Management: Ensure testing adheres to DHS policies, including the DHS Systems Engineering Life Cycle (SELC) and the DHS Risk Management Framework. Address risks related to border security operations and trade facilitation Required Qualifications:, • U.S. Citizen with the ability to obtain and retain a DHS Suitability/CBP Background Investigation., • Bachelor’s degree in Systems Engineering, Electrical Engineering, Computer Science, or a related field., • 3+ years of relevant experience in test design, data analysis, and statistical methods for evaluating complex systems., • Strong analytical skills for evaluating system performance and excellent written and verbal communication skills to provide actionable recommendations., • Able to work fully onsite based on client needs. Desired Qualifications:, • Active CBP Background Investigation or an Active Top Secret clearance., • In-depth understanding of DHS policies, including MD 102-01 (Acquisition Management), DHS Directive 026-06 (Test and Evaluation), and the DHS SELC framework., • Hands-on experience with homeland defense technology systems, such as border surveillance, non-intrusive inspection technologies, or trade compliance systems., • Proficiency in modeling and simulation tools, digital engineering, or data management platforms to support testing. The estimated compensation range for this position is between $90,000 and $96,000 annually, based on benchmarks in the Washington, D.C. metropolitan area. This range reflects a good faith estimate for all experience levels. At Hive Group, salary decisions are influenced by several factors, including but not limited to the role, location, and the combination of education, training, skills, certifications, competencies, and relevant work experience. Hive Group offers a competitive and comprehensive benefits package, including health insurance (medical, dental, vision), life and disability insurance, retirement contributions, paid leave, federal holidays, professional development opportunities, and lifestyle benefits. A Commitment to Equal Opportunity Hive Group is an Equal Employment Opportunity and Affirmative Action employer dedicated to fair and unbiased employment decisions. We do not discriminate based on race, color, sex (including gender and transgender status), age, religion, national origin, disability, marital status, veteran status, domestic partner or civil union status, gender identity, medical condition, genetic information, sexual orientation, or any other status protected by applicable federal, state, and local laws. Our hiring and promotion decisions are based exclusively on an individual’s qualifications and suitability for the role. Protecting Your Information Stay vigilant against fraudulent job offers and individuals impersonating Hive Group Talent Acquisition Specialists. Hive Group will never request payment details or money during the application process. Official communications will only come from email addresses ending in @hive-llc.com or @applytojob.com — not from free email services like Gmail or messaging platforms such as WhatsApp. If you receive suspicious messages requesting payment or personal information, please report them immediately to . Hive Group is an Equal Employment Opportunity / Affirmative Action employer dedicated to making all employment decisions without regard to race, color, sex (including gender and transgender status), age, religion, national origin, disability, marital status, veteran status, registered domestic partner or civil union status, gender identity, medical condition, genetic information, sexual orientation, or any other protected status in accordance with applicable federal, state, and local laws. Hive Group hires and promotes individuals solely on the basis of their qualifications for the job to be filled. Powered by JazzHR INylDyy4rz

Job Description The Nuclear Company is the fastest growing startup in the nuclear and energy space creating a never before seen fleet-scale approach to building nuclear reactors. Through its design-once, build-many approach and coalition building across communities, regulators, and financial stakeholders, The Nuclear Company is committed to delivering safe and reliable electricity at the lowest cost, while catalyzing the nuclear industry toward rapid development in America and globally. About the role: The Nuclear Company is seeking a highly motivated and detail-oriented Sr. Licensing Engineer to join our Regulatory team in Columbia, South Carolina. This role will be responsible for supporting the development, implementation, and maintenance of licensing strategies and documents to ensure compliance with all applicable nuclear regulatory requirements. The Sr. Licensing Engineer will play a crucial role in navigating the complex regulatory landscape of the nuclear energy industry. Reporting to the Director of Licensing, this position will involve interpreting regulations, preparing licensing submittals, interacting with regulatory agencies, and ensuring the company's activities are conducted in accordance with all applicable licenses, permits, and regulatory requirements. Responsibilities: • Licensing Document Development & Maintenance:, • Prepare, review, and revise licensing documents, including license applications, amendments, technical specifications, safety analysis reports, environmental reports, and other regulatory submittals., • Ensure the accuracy, completeness, and technical adequacy of all licensing documents., • Maintain a thorough understanding of current licensing bases and regulatory commitments., • Regulatory Interpretation & Analysis:, • Interpret and analyze federal, state, and local regulations related to nuclear energy., • Assess the impact of new and revised regulations on the company's operations and licensing basis., • Provide guidance to internal stakeholders on regulatory requirements and licensing strategies., • Regulatory Agency Interaction:, • Prepare responses to regulatory inquiries and requests for additional information., • Participate in meetings and teleconferences with regulatory agencies (e.g., NRC)., • Support regulatory inspections and audits., • Maintain positive and effective working relationships with regulatory personnel., • Compliance Assurance:, • Assist in the development and implementation of programs and procedures to ensure ongoing regulatory compliance., • Support internal audits and assessments to verify adherence to licensing commitments., • Track and manage regulatory commitments and action items., • Technical Support:, • Provide technical support to engineering, operations, and other departments on licensing-related matters., • Participate in the review of design changes and operational procedures to ensure consistency with the licensing basis., • Contribute to the development of technical justifications for licensing positions., • Training & Awareness:, • Assist in the development and delivery of training materials related to licensing requirements., • Bachelor's degree in Engineering (Nuclear, Mechanical, Chemical, Electrical, etc.) or a related scientific discipline., • 8+ years of experience in engineering or a related technical field within the nuclear energy industry., • Familiarity with nuclear regulations, licensing processes, and regulatory guidance documents (e.g., NRC regulations, NUREGs)., • Experience in preparing or reviewing licensing documents is highly desirable., • Strong analytical and problem-solving skills., • Excellent written and verbal communication skills, including the ability to explain complex technical information clearly and concisely., • Detail-oriented with a strong focus on accuracy and completeness., • Ability to interpret and apply regulations and technical standards., • Ability to working independently and as part of a team., • Proficiency in Microsoft Office Suite., • Valued but not required:, • Advanced degree in Engineering or a related field., • Specific experience interacting with the Nuclear Regulatory Commission (NRC)., • Familiarity with probabilistic risk assessment (PRA) and its application to licensing., • Competitive compensation packages, • 401k with company match, • Medical, dental, vision plans The estimated starting salary range for this role is $150,000 - $173,000 annually less applicable withholdings and deductions, paid on a semi-monthly basis. The actual salary offered may vary based on relevant factors as determined in the Company's discretion, which may include experience, qualifications, tenure, skill set, availability of qualified candidates, geographic location, certifications held, and other criteria deemed pertinent to the particular role. EEO Statement: The Nuclear Company is an equal opportunity employer committed to fostering an environment of inclusion in the workplace. We provide equal employment opportunities to all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. We prohibit discrimination in all aspects of employment, including hiring, promotion, demotion, transfer, compensation, and termination.

Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Here at Appian, our core values of Respect, Work to Impact, Ambition, and Constructive Dissent & Resolution define who we are. In short, this means we constantly seek to understand the best for our customers, we go beyond completion in our work, we strive for excellence with intensity, and we embrace candid communication. These values guide our actions and shape our culture every day. When you join Appian, you'll be part of a passionate team that's dedicated to accomplishing hard things. As a Senior Data Engineer, you will join a high-performing team of data engineers responsible for building foundational datasets and pipelines, as well as the infrastructure that supports them, across all Appian business functions including sales, finance, marketing, people and product. You will partner closely with business stakeholders to understand their data and analytics needs and with business intelligence developers to deliver metrics and KPIs to accelerate the decision-making process of key product and business functions. This position sits within our Business Technology team where you will collaborate with cross-functional teams to understand source architecture, data models and processes. This role is based at our headquarters in McLean, Virginia. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 5 days a week to foster that culture and ensure we continue to thrive through shared ideas and teamwork. We believe being in the office provides more opportunities to come together and celebrate working with the exceptional people across Appian. What you'll do: * Facilitate discovery and requirement gathering sessions and build productive partnerships with various business stakeholders to understand their data needs for reporting and analytics * Translate business logic into actionable artifacts like source to target mapping, data integration patterns, etc. * Develop data pipelines using tools such as Informatica Cloud, Python and SQL to ingest, transform and manipulate data for analysis and reporting purposes * Maintain existing pipelines and implement enhancements * Provide data modeling and data architecture recommendations to ensure core data assets are managed and governed as per enterprise standards * Analyze various disparate (internal/external) data sources and document findings * Clearly articulate data acquisition, integration strategies along with inherent risks with each strategy * Drive standards in data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data * Be a technical advisor and subject matter expert on the effective use of data modeling practices, data analytics, and optimal data architecture * Manage multiple projects simultaneously, ensuring timely delivery and adherence to high-quality standards * Collaborate with team of data engineers and BI developers to deliver data services covering various business domains Preferred experience: * 7+ years of experience in a data/software engineering role, with a focus on building and maintaining data pipelines and automating data availability and accuracy * Experience building high quality ETL/ELT pipelines using cloud-based tools such as Informatica Cloud (preferred), Fivetran, SSIS, etc. * Experience with cloud-based data technologies such as BigQuery, Redshift, Snowflake, Databricks or similar * Expert knowledge of SQL, Python and integration with APIs * Domain knowledge covering areas including finance, sales, marketing, etc. * Experience developing data products to drive data science and machine learning initiatives * Knowledge of data visualization tools such as Tableau, MS Power BI or Looker * Strong communications skills with the ability to collaborate effectively with peers and business stakeholders to understand requirements and build shared datasets Education: * Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering or equivalent degree Tools and Resources • Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires., • Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities. Appian is a software company that automates business processes. The Appian AI-Powered Process Platform includes everything you need to design, automate, and optimize even the most complex processes, from start to finish. The world's most innovative organizations trust Appian to improve their workflows, unify data, and optimize operations—resulting in better growth and superior customer experiences. For more information, visit appian.com. [Nasdaq: APPN] Follow Appian: LinkedIn. Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at . Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job Description Looking to leave your mark at a 100% employee-owned firm? Join Wiley|Wilson, an architecture and engineering (AE) firm where over 180 employee-owners across five locations serve our valued clients. This is an exciting opportunity to join a passionate team of engineering and architectural professionals. We are actively seeking a highly experienced and accomplished Professional Electrical Engineer to join our team and contribute their expertise in designing and implementing complex electrical systems. Wiley|Wilson has a very successful electrical engineering practice in building systems design. Our engineers design all electrical sub-disciplines for diverse and unique projects across multiple markets, with a focus on critical facilities, sustainability, and alternate energy design. What we offer: We offer a competitive salary along with employee ownership through our ESOP program and work-from-home flexibility with details provided upon inquiry. Our generous benefits package includes multiple group health insurance options, a 401k with up to 6% matching contribution, 24 days of paid time off (PTO), five paid holidays per year, tuition reimbursement, and many other perks. Furthermore, we prioritize inclusivity with benefits such as 80 hours of parental leave for the birth of a child or newly adopted child, a hybrid work schedule to accommodate various needs, and for roles requiring travel, we ensure accommodations for individuals with disabilities. The engineer selected for this position will, among other things: • Utilize experience and technical skills to solve complex problems, ensuring compliance with industry and client standards, codes, and regulations., • Collaborate with cross-functional teams including architecture, all engineering disciplines, project managers, and contractors., • Lead project teams, delivering comprehensive engineering design packages to diverse clients such as federal, state, and local agencies; commercial and industrial entities; and universities., • Provide engineering oversight and direction to junior engineers and designers, including leadership and training., • Support construction and commissioning activities, ensuring quality and accuracy of work and effectively communicating with project manager, design and construction teams, and clients., • 6-10 years of experience in Electrical Engineering., • Bachelor's degree in electrical engineering, architectural/electrical engineering, or electrical engineering technology from an ABET accredited institution., • Registered Professional Engineer in Virginia or ability to obtain through reciprocity within three months of start date., • Experience in building system design including power distribution, lighting and control systems, grounding and lightning protection, and emergency and uninterruptible power systems., • Familiarity with system modeling software (i.e., ETAP, SKM, AGI) and knowledge of sustainable design practices., • Prior consulting experience, • Federal government design experience, • LEED accreditation is a plus, • LC certification is a plus Wiley|Wilson is a full-service architecture-engineering firm, specializing in creating innovative and functional design solutions for our government, institutional, and private-sector clients around the world. Our diverse mix of projects, generous benefits, and focus on professional growth provides a truly unique opportunity for you to elevate your career. Diversity, equity and inclusion are fundamental to Wiley|Wilson's culture. All qualified applicants, including minorities, women and individuals with disabilities are encouraged to apply. As a 100-percent employee-owned company, our 180+ employees share a stake in our success through an Employee Stock Ownership Plan (ESOP). The ownership model, coupled with our focus on service and engagement, creates a distinct company culture. Wiley|Wilson has offices in Alexandria, Lynchburg, Richmond, VA; Raleigh, NC; and Atlanta, GA. Other: • EOE/AAP, Disability/Covered veteran, Drug Free Workplace, • A531, Electrical Project Engineer, • Electrical design, design engineer, federal, building systems, alexandria, washington dc, virginia, revit Job Posted by ApplicantPro

Job Description As a Solutions Engineer, you will work closely with Auterion's customers and partners to deploy our technology into their stacks and to support them during their integration journey. This role combines hands-on implementation of cutting-edge technology, with effective client & project management skills. You will solve quests ranging from hardware systems and sensor integration questions to flight control problems where you will interact with our teams to help our client bring their drones safely to the sky. You will be our interface to the customer's engineering team. Responsibilities and Duties • Solutions Adoption: Manage and support the end-to-end implementation of Auterion's technology into the applications & tech stack of our customers., • Deal Support: Provide sales support by coordinating and managing sales-related activities, such as preparing and processing quotes, orders, and invoices., • Technical Design: Work with the product engineering team on designing and implementing features (on an embedded linux and microcontroller/RTOS environment)., • Customer Engagement: Respond to customer inquiries and resolve issues in a timely and professional manner, ensuring customer satisfaction and loyalty., • Technical Documentation and Enablement: Closely work with Auterion's product engineering and support teams to further build & grow our product offerings and documentation., • 3+ years experience in a solutions or sales engineering role, ideally within startups, scale-ups with experience in robotics technologies an added bonus., • Bachelor's degree in Engineering, Computer Science, Information Technology, or related field., • Proficiency in customer facing aspects of engineering, working and interfacing directly with customers., • UAV piloting experience, with knowledge of drone flight control systems such as PX4 being a nice to have., • Experience with Zendesk and/or other ticketing systems., • Experience in software engineering (C++)., • Experience with Electrical and mechanical integration, modification, and prototyping., • Mechanical design expertise; 3D printing, soldering, assembly, mounting and wiring of electronic subassemblies., • Willingness to work flexible hours and travel internationally., • Flexible working hours, • Stock Options, • Unlimited PTO, • Health Insurance (includes dental & vision), • Medical flex spending, • Life Insurance, • Retirement Plan - 401k, • Enhanced maternity & paternity leave We are building the leading software platform for AI-powered autonomous systems for enterprise and government customers. Our team is supporting the most important missions and solving the most challenging problems. At Auterion, we bring together the sharpest minds who love to solve the hardest problems. Join a vibrant team built on innovation, openness, and excellence, where you'll be empowered to develop ideas, collaborate across all levels, and make an impact that matters.

Job DescriptionBala Consulting Engineers is a 200-person engineering firm headquartered in Wayne, PA just outside of Philadelphia with full-service offices in New York, NY, Boston, MA, Baltimore, MD, and Washington, DC. Bala is a dynamic growth-oriented company, built on relationships with our clients, staff, and industry partners. At Bala you will enjoy an exceptional employee experience that results in a successful career based on collaboration, leadership and personal development. We are seeking a talented Fire Protection Engineer (FPE) with leadership capability to lead our Fire Protection (FP) Department and support the function enterprise-wide from any office location. Primary responsibilities will include: • Serve as lead FP engineer and technical expert with the ability to answer questions and resolve issues for engineering staff, • Participate in the design of fire protection systems and coordinate with other disciplines on projects -performing calculations and attending review meetings, • Create detailed plans, processes, and procedures for engineering staff to use and abide by., • Propose and oversee budgets and timelines for engineering projects., • Check and confirm the accuracy of the work performed and the methods used by staff., • Communicate and collaborate with other department managers across all office locations., • Prepare and deliver various internal and external engineering-related presentations, • 7 plus years professional experience in fire protection engineering/design, • PE/FPE license required - Bachelor’s degree – mechanical/electrical engineering required, • Advanced working knowledge of building codes, Fire codes, NFPA Standards and FM Global Data Sheets, • Proficient in standard engineering procedures with proven critical thinking ability who works analytically in a quantitative problem solving environment, • Excellent communication (written and verbal) and interpersonal skills, • Self-motivated attitude with the ability to multitask and thrive ability as part of a team., • Team supervisory experience, • Proficient relevant software skills including Revit, Bluebeam, BIM and MS office, • Skilled technical writer As a multi-discipline engineering firm, Bala is a leader in innovative designs for building systems in High Rise, Mission Critical, Multi-Unit Housing, Commercial Office, Higher Education, Transportation, Adaptive Reuse and Life Science facilities. Bala’s compensation package includes a rich benefits package along with market competitive salary structure. Our culture creates an environment where relationships thrive and careers flourish. Bala offers comprehensive benefits: • Medical, Dental, and Vision insurance package, • 401(k) with employer match, • Employer Paid Life Insurance, • Up to (5) weeks of PTO based on years of experience and (8) paid holidays, • 8 hours of Volunteer Time Off, • Tuition and Licensure Reimbursement, • Federal Student Loan Assistance including match up to $5,250 per year, • Section 529 Plan (College Saving Plan), • Employee Referral ProgramFollow us @Balaconsultingengineers on Instagram and LinkedIn Bala Consulting Engineers will not accept unsolicited resumes from any source other than directly from a candidate. Resumes submitted for this position from temporary staffing agencies, placement services, and professional recruiters will not be considered. #LI-Onsite

Job Description Come join our team! At Unlimited Technology, we are committed to our company's core values of Passion, Collaboration, Innovation and Adaptability. With offices throughout the United States, we are a premier cyber and physical security specialty contractor, and we are growing at a rapid pace. We have a wide range of talented and experienced individuals that deliver cutting edge technology solutions to meet our customers' ever-changing needs. We secure the facilities and networks of the world's leading brands and critical infrastructure and are recognized leaders in the physical and IT security, cyber, and managed services industries. UT offers a rewarding career, great benefits, and the chance to learn and work with ground-breaking technology and premier clients. Senior Security Systems Engineer Provides expert guidance on all Security system troubleshooting and maintenance issues. Has a working knowledge and familiarization with all fielded equipment. Will be required to research and resolve design and operational issues and make decisions in situations where standard engineering methods, procedures, and techniques may not be applicable. Provides advice on unusual or controversial problems or policy matters. May supervise or train and be assisted by lower level technicians, and performs, one or a combination of the following: a. Prepares designs and specifications for various complex equipment or systems. b. Plans approach to solve design problems; conceives and recommends new design techniques; resolves design problems and assures compatibility of design with other parts of the system. c. Designs and coordinates test set-ups and experiments to prove or disprove the feasibility of preliminary design; uses untried and untested techniques; and improves the performance of the equipment. May advise equipment users on redesign to solve unique operational deficiencies. d. Plans approach and conducts various experiments to develop equipment or systems characterized by (a) difficult performance requirements because of conflicting attributes such as versatility, size, and ease of operation, or (b) unusual combination of techniques or components. Arranges for fabrication of pilot models and determines test procedures and design of special test equipment. Experience Required: • Certified System Engineer ICAM PACS (CSEIP) certification, or equivalent, • Lenel Certified Associate certification, or equivalent Benefits • Health, dental, and vision coverage, • Life insurance, • 401 (k) w/company match 100% up to 3% and an additional 50% match of 2%, • Paid time off

Job Description Umbra is an American space technology company delivering advanced systems, from sensors to spacecraft, that empower customers worldwide with unmatched access to critical information from space. Our mission is simple and ambitious: redefine space—for people, systems, and missions in every domain. Umbra’s ecosystem operates through three business units: Remote Sensing (the data), Space Systems (the components), and Mission Solutions (the platforms).Together, our teams develop capabilities that deliver persistent access, resilient performance, and mission-ready solutions, advancing U.S. space leadership while keeping the world safe and informed. About the Team Space Systems – The Components Space Systems is where Umbra turns hardware and software designs into on-orbit realities; developing, implementing and iterating mission-ready core technology, while simultaneously advancing the next generation of our own satellite constellation. Space Systems is vertically integrated across the satellite architecture, thus the team designs, builds, and tests an array of critical components and subsystems, including power systems, communications, control systems, deployment hardware, avionics, and payloads, as well as the flight software, firmware and digital design solutions to support the entire hardware stack. Our focus is on first principles engineering, and our mandate is simple: it has to work when it counts. Every bolt, board, and binary is proven on our own SAR constellation, ensuring flight-proven reliability where failure is not an option. If you want to work on cutting edge space technology while maintaining the highest standard for innovation and mission ready performance, you belong here at Umbra. About the Job We are on the lookout for a highly skilled and experienced Senior GNC Engineer (Guidance, Navigation, and Control), who will be instrumental in the development and delivery of next-generation spacecraft capabilities tailored for Umbra missions. This role sits at the intersection of GNC theory and software implementation, focusing on enabling advanced onboard processing, new mission features, integrated testing, and expanded operational capabilities while maintaining support for legacy systems. Your expertise will be crucial in shaping the architecture, driving algorithm development, and ensuring thorough system integration. Additionally, you will be responsible for producing comprehensive documentation and conducting rigorous testing protocols, all of which are vital to guarantee the successful deployment of mission-critical software that meets the high standards required for our ambitious missions. Our aim is to hire this position to work in either our Santa Barbara/Goleta, CA office or Arlington, VA office. Key Responsibilities • Design and implement onboard orbit & attitude determination, sensor processing, guidance, and control algorithms for all orbital regimes., • Develop 6DOF simulations for spacecraft behavior, including sensors, actuators, and physics., • Develop autonomous burn planning, optimization, and execution capabilities for spacecraft., • Transition experimental GNC capabilities into production-ready systems., • Create automated testing and validation frameworks for spacecraft GNC systems in integrated test environments., • Provide technical support and troubleshooting for operational missions., • Create MATLAB/Simulink models and simulations for algorithm development and testing., • Develop flight software implementations for interfaces of GNC algorithms in Rust. Required Qualifications • Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Electrical Engineering, Computer Science, or related technical field., • 5-7+ years of relevant experience with GNC algorithm development, flight software implementation, or modeling and simulation., • Demonstrated experience with orbital mechanics and spacecraft dynamics., • Experience with setting up, managing, and configuring software-in-the-loop (SITL), hardware-in-the-loop (HITL), and hybrid integrated test environments that involve complex, independent, asynchronous systems with CI/CD pipelines., • 3+ years of experience using MATLAB/Simulink., • Demonstrated experience developing or interfacing with embedded software applications in C/C++ or Rust., • Excellent communication skills for technical documentation and presentations., • Ability to work independently and manage multiple concurrent projects., • Strong analytical and problem-solving skills. Desired Qualifications • Advanced degree in relevant engineering or computer science field., • 12-15+ years of relevant experience in spacecraft GNC., • Proficiency with Python., • Strong familiarity with version control systems (Git), collaborative development, and CI/CD pipelines., • Experience with any of the following: autonomous spacecraft operations, onboard decision-making, distributed spacecraft systems or constellation operations, LEO or GEO orbit operations, or ground system interfaces and telemetry processing., • Experience working in fast-paced agile development environments., • Flexible Time Off, Sick, Family & Medical Leave, • Medical, Dental, Vision, Life, LTD, STD (employer funded), • Vol Life, Critical Illness, Accidental, Hospital Indemnity, Pet Insurance (employee funded), • 401k with 3% non-elective company contribution, • Stock Options, • Free Parking, • Free lunch in office daily Umbra is an Equal Opportunity Employer. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state, or local law. Employment Eligibility Verification In compliance with federal laws, all hired persons will be required to verify their identity and eligibility to work in the United States by completing the required Employment Eligibility Verification Form (I-9 Form) upon hire. ITAR/EAR Requirements This position may include access to technology and/or data that is subject to U.S. export controls pursuant to ITAR and EAR. To comply with federal export controls, all persons hired must be a U.S. citizen, U.S. national, U.S. lawful permanent resident, refugee or asylee as defined by 8 U.S.C. § 1324b(a)(3), or must otherwise be eligible to obtain the required authorizations from the U.S. Department of State and/or U.S. Department of Commerce as applicable. Pay Transparency This job posting may cover multiple career levels. To ensure greater transparency, we provide base salary ranges for all roles, regardless of location. Our standard pay ranges are based on the role’s function and level, benchmarked against similar growth-stage companies. Compensation may vary based on geographical location, as certain regions may have different cost-of-living factors. The final offer will also be influenced by the candidate's skills, responsibilities, and relevant experience. Compensation Range The Compensation Range for this role is $170,000 - $220,000 DOE.

Job Description Umbra is an American space technology company delivering advanced systems, from sensors to spacecraft, that empower customers worldwide with unmatched access to critical information from space. Our mission is simple and ambitious: redefine space—for people, systems, and missions in every domain. Umbra’s ecosystem operates through three business units: Remote Sensing (the data), Space Systems (the components), and Mission Solutions (the platforms). Together, our teams develop capabilities that deliver persistent access, resilient performance, and mission-ready solutions, advancing U.S. space leadership while keeping the world safe and informed. About the Team Mission Solutions – The Platforms Mission Solutions builds on Umbra’s expertise in remote sensing and spacecraft operations to engineer platforms purpose-built for U.S. and allied defense and intelligence missions. Whether it’s a custom payload, a full-stack spacecraft, or the infrastructure behind an entire constellation, our team delivers secure, resilient systems tailored to exacting requirements and built on timelines that match the urgency of the mission. If you want to work on cutting-edge space technology that’s redefining what’s possible in space platforms, you belong here at Umbra. About the Job In this role, you will lead and support spacecraft and payload AI&T activities at our Goleta, California site and at customer locations both domestically and internationally. You will develop and execute hardware and software integration and test plans, along with the necessary test equipment, to provide innovative solutions for our customers. By collaborating with customers and Umbra subject matter experts, you will troubleshoot and resolve anomalies during integration and test activities. The ideal candidate is an experienced AI&T engineer, a systems thinker, and a solution-focused innovator who excels at solving complex technical challenges using sound engineering principles. Strong communication skills and the ability to travel to customer sites are essential for leading AI&T activities from subsystem integration through launch. Our aim is to hire this position to work in either our Santa Barbara/Goleta, CA office (preferred) or Arlington, VA office. Key Responsibilities • Lead assembly, integration, and testing of Umbra space products at customer sites., • Support assembly, integration, and testing of Umbra space products at Umbra sites., • Become an expert in Umbra products, including spacecraft, payloads, and ground systems., • Conduct electrical, mechanical, and software integration and troubleshooting., • Develop and implement hardware and software test procedures and documentation., • Build and deploy ground support equipment and special test equipment (GSE and STE)., • Conduct on-site system-level testing., • Support Umbra customers and train end users for testing and operations., • Periodic travel is required to support integration, testing, and troubleshooting activities and campaigns at Umbra in Santa Barbara and customer sites, both domestic and international. Expected level is around 25% with some durations longer than a week., • Bachelor of Science in Engineering, Physics, Computer Science, or equivalent experience., • 5-8+ years of relevant technical experience., • Strong understanding of spacecraft and payload subsystems., • Demonstrated experience with integration, testing, launch, and operations., • Experience with flight software, test software, and end to end system testing., • Demonstrated experience with hardware software troubleshooting and anomaly resolution., • Strong interpersonal skills to interact effectively with customers and Umbra staff., • Good communication skills, ability to collaborate in a team, documentation, and willingness to learn new technologies., • Comfortable working in a dynamic, fast-paced development environment., • Ability to travel around 25% of the time, both domestic and international, with some durations longer than a week. Desired Qualifications • Delivered spacecraft and subsystems to stakeholders., • Built and delivered ground support equipment., • Experienced in testing automation., • Developed end-to-end mission solutions., • Flexible Time Off, Sick, Family & Medical Leave, • Medical, Dental, Vision, Life, LTD, STD (employer funded), • Vol Life, Critical Illness, Accidental, Hospital Indemnity, Pet Insurance (employee funded), • 401k with 3% non-elective company contribution, • Stock Options, • Free Parking, • Free lunch in office daily Umbra is an Equal Opportunity Employer. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state, or local law. Employment Eligibility Verification In compliance with federal laws, all hired persons will be required to verify their identity and eligibility to work in the United States by completing the required Employment Eligibility Verification Form (I-9 Form) upon hire. ITAR/EAR Requirements This position may include access to technology and/or data that is subject to U.S. export controls pursuant to ITAR and EAR. To comply with federal export controls, all persons hired must be a U.S. citizen, U.S. national, U.S. lawful permanent resident, refugee or asylee as defined by 8 U.S.C. § 1324b(a)(3), or must otherwise be eligible to obtain the required authorizations from the U.S. Department of State and/or U.S. Department of Commerce as applicable. Pay Transparency This job posting may cover multiple career levels. To ensure greater transparency, we provide base salary ranges for all roles, regardless of location. Our standard pay ranges are based on the role’s function and level, benchmarked against similar growth-stage companies. Compensation may vary based on geographical location, as certain regions may have different cost-of-living factors. The final offer will also be influenced by the candidate's skills, responsibilities, and relevant experience. Compensation Range The Compensation Range for this role is $140,000 - $190,000 DOE.

Job Description Salary: $35.00 to $45.00 per hour 3rd Class Stationary Engineer - MedStar Washington Hospital Center - All Shifts Needed! Crothall Healthcare is a Compass One Company that provides specialized, high-quality, innovative, and responsive support services exclusively to the healthcare industry. Crothall serves many of the Top 100 Hospitals throughout its over 1300 healthcare service teams in 46 states. Crothall has been recognized as one of Modern Healthcare’s Best Places to Work and Best Places to Work in Pennsylvania since 2013 and Becker's Top 150 Places to Work since 2016. A division of Compass Group USA, we have more than 26,000 team members. Our core services include: Environmental Services, Healthcare Technology Solutions, Patient Transportation, Laundry & Linen, Facilities Management, and Ambulatory EVS. Learn more at . Job Summary Third Grade Boiler Operator Job Description: Ability to do the work of a Boiler & Chiller Plant Operator without more than normal supervision. Must have the ability to perform some tasks including operating and monitoring of high-pressure Boiler Plants and auxiliary equipment. Ability to recognize and detect abnormal high pressure boiler plant and steam system operating conditions and take immediate actions to eliminate emergency situations and restore normal operating conditions; perform constant meter readings and record findings for fuel oil supply and steam production. Work under the supervision of a Plant Director or Chief-level employee who reviews work for completion. Healthcare experience strongly preferred. Qualifications/Experience: • Experience with the starting, operating, adjusting, and stopping of high-pressure steam boilers fueled by natural gas and fuel oil, • Operated and controlled auxiliary equipment requiring continuous attention to monitor efficiency and control formation of pollutants in accordance with local, state, and federal pollution control requirements., • Operated, controlled, and maintained a variety of auxiliary equipment such as centrifugal pumps, heat exchangers, fans, deaerators, flash tanks, condensate receivers, water softeners, steam traps, steam PRV’s, OSY valves, VFD’s., • Maintained constant observation and record keeping of flow meters, charts, production/supply meters etc., to determine boiler plant status, whether it is meeting or exceeding demands, rate of fuel consumption, etc., • Performed various operational repairs and preventive maintenance on boilers, cleaned burners, oils and greases moving parts, packs valves and pumps, cleans water/oil strainers, • Performed other routine operational maintenance, • Located and repaired limited electrical problems in burner controls, safety devices and other equipment. Replace flame scanners., • Collected water samples and tested feed water, boiler water and condensate using standard chemical tests; determined appropriate treatment to control corrosion and chemical concentrations; removed impurities and entrapped gases; and stabilized fluctuating water conditions. Adjust blowdown methods and chemical feed pumps as necessary An applicant for a Class 3 - Steam and Hot Water Heating Boiler Engineer shall comply with all DC regulations related to the operation and maintenance of boilers. Apply to Crothall today! Crothall is a member of Compass Group USA Click here to Learn More about the Compass Story Associates at Crothall are offered many fantastic benefits. • Medical, • Dental, • Vision, • Life Insurance/ AD, • Disability Insurance, • Retirement Plan, • Flexible Time Off, • Holiday Time Off (varies by site/state), • Associate Shopping Program, • Health and Wellness Programs, • Discount Marketplace, • Identity Theft Protection, • Pet Insurance, • Commuter Benefits, • Employee Assistance Program, • Flexible Spending Accounts (FSAs), • Paid Parental Leave Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. We will consider for employment all qualified applicants, including those with a criminal history (including relevant driving history), in a manner consistent with all applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York Fair Chance Act. We encourage applicants with a criminal history (and driving history) to apply. Applications are accepted on an ongoing basis. Crothall maintains a drug-free workplace. Req ID: 1469346 Crothall Healthcare Abigail Van Eman [[req_classification]]

Job Description *US Citizenship Required *Onsite at a NEFSC and aboard research vessels in the Northwest Atlantic Ocean POSITION DESCRIPTION: The Electrical Engineer will support the Northeast Fisheries Science Center (NEFSC) by providing technical expertise for the development, maintenance, and deployment of electronic fisheries sampling instruments, including the HabCam v4 system and other advanced survey equipment. Responsibilities include preparing and configuring electronic and fiber-optic systems for use aboard research vessels, troubleshooting electronic data acquisition systems, and supporting survey operations through hands-on installation, repair, and testing of marine electronics. The engineer will lead the design and fabrication of components needed for data communication and sampling, including creating technical drawings and supporting shipboard operations by participating as a member of the scientific party. Additional duties involve ensuring all electronic systems are operational before deployment, managing interfacing software, and assisting with general sampling activities and post-cruise equipment maintenance. The role may require extended sea duty on NOAA vessels and frequent hands-on work with sensitive marine electronics in dynamic field conditions. RESPONSIBILITIES: • Assist with the preparation and maintenance of the NEFSC's HabCam v4 system, and/or for the development and maintenance of electronic devices as used for fisheries sampling activities., • Participate on ESB research cruises when support for electronic fisheries sampling devices is required., • Lead the development of electronic fisheries sampling instruments and associated software that are to be deployed during survey operations., • Conduct maintenance and installation of electronic fisheries sampling instruments that are to be deployed during survey operations, including fiber-optic connections as required., • Test all primary and secondary systems, ensuring that electronics are ready for deployment during survey operations., • Prep and configure any interfacing software associated with electronic instruments prior to at-sea data collection., • Serve as a member of the scientific party standing watch for up to 12 hours per day., • Lead troubleshooting of electronic data acquisition systems., • Assist with or lead general shipboard sampling activities, organization, and clean-up., • Lead fiber optic termination of towed optical vehicles for communication between sampling equipment and survey vessels., • Troubleshoot fiber optic or additional electronic and wiring issues for towed or uncrewed vehicles., • Design vehicle machinery and materials required for proper maintenance of advanced technology sampling tools. This can include producing CAD drawings for machine work. REQUIREMENTS: • An undergraduate or graduate degree in Ocean Engineering, Electronics engineering, or other related engineering field., • Experience with the use and maintenance of oceanographic instruments as deployed from research vessels., • Experience independently leading fiber optic terminations., • Experience diagnosing and repairing common hardware and electronics problems at sea., • Significant experience with wiring of marine electronics, including fiber-optics., • Familiarity with electronic data acquisition systems, • Current MS Office skills., • Valid driver's license with the ability to operate Federal motor vehicles, • OMAO medical clearance for sea duty on NOAA vessels, • Be able to work at sea for 5-17 consecutive days