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The Opportunity Join our dynamic team as a Data Software Engineer – Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role in leading the design, development, and administration of complex AWS environments and contribute to enterprise-wide data initiatives. The ideal candidate will bring experience working with global delivery teams, demonstrate thought leadership in data architecture, and actively mentor junior engineers to build internal capability. The Team You’ll be an integral part of our esteemed Corporate Technology Team, focused on Data Engineering & Analytics. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Senior Business Systems Analyst, you'll play a pivotal role in high impact Corporate Technology Finance Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with our Corp Technology leadership team as well as our CFO customers. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed. The Impact: • Lead the design, development, and deployment of end-to-end data engineering solutions on AWS, ensuring scalability, performance, and security., • Administer and manage a broad range of AWS services such as EC2, S3, Glue, Lambda, IAM, and more in a production environment., • Develop and maintain infrastructure as code using tools like AWS CloudFormation or Terraform., • Design and orchestrate complex data pipelines using Apache Airflow or AWS Step Functions to enable reliable ELT/ETL processes., • Implement data quality checks, monitoring, and alerting to ensure data integrity and reliability., • Collaborate with global delivery teams across time zones to deliver high-quality, well-documented solutions on schedule., • Develop and evaluate proof-of-concepts (POCs) for AWS-native and third-party tool integrations (e.g., Databricks, Snowflake)., • Conduct architecture reviews, provide code-level guidance, and establish best practices across cloud, data, and DevOps efforts., • Mentor junior engineers and support team skill development through peer reviews, technical coaching, and design sessions., • Participate in roadmap planning and contribute to long-term data platform strategy and technology selection., • Ensure compliance with data governance, security, and operational standards across all engineering activities. The Minimum Qualifications • Bachelor’s in Computer Science, Engineering or related technical field, • 8+ years of experience building and managing Cloud solutions preferably in the AWS ecosystem, including infrastructure and data services, • 2+ years experience with understanding of data warehousing concepts, ODS, dimensional modeling, and scalable architecture design, • 2+ years experience with Terraform, Apache Airflow, Databricks or Snowflake in a production or large-scale prototype environment, • 2+ years experience in Python, SQL, and automation scripting, • 2+ years experience with containerization (Docker, ECS, EKS) The Ideal Qualifications • Master’s degree in Computer Science, Engineering or related field, • AWS Certifications (Solutions Architect, Data Analytics, or DevOps Engineer)., • Knowledge of streaming data technologies (e.g., Kinesis, Kafka), • Exposure to data lake and data warehouse architectures, • Experience with monitoring and observability tools (e.g., CloudWatch, Datadog, Prometheus), • Exposure to machine learning pipelines and MLOps tools (e.g., SageMaker, MLflow, Kubeflow), • Demonstrated experience working with global delivery teams and cross-functional stakeholders, • Strong communication skills with a proven ability to work across functional teams, • Experience with data lake architecture, data governance frameworks, and modern metadata management, • Familiarity with modern DevOps practices including CI/CD pipelines, monitoring, and alerting in cloud environments, • Experience with data cataloging tools (e.g., AWS Glue Data Catalog, Apache Atlas), • Understanding of data privacy regulations and compliance (e.g., GDPR, HIPAA), • Exceptional communication and interpersonal skills, • Ability to influence and motivate teams without direct authority, • Excellent time management and organizational skills, with the ability to prioritize multiple initiatives #LI-RK1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

Continue to Grow with GXO. At GXO, we know our greatest asset is people like you - energetic, innovative people of all experience levels and talents who make GXO a great place to work. Your career matters to us because your passion and excitement will help keep our company moving forward. Logistics at full potential. At GXO, our people drive our success—innovative professionals whose expertise shapes our industry leadership. Your career growth is our priority, and your impact helps fuel GXO’s vision for the future. We are seeking a strategic Senior Director of Benefits to lead our benefits function and drive GXO’s benefits strategy across the regions. This role is pivotal in architecting, scaling, and optimizing benefits programs that support GXO’s diverse and evolving workforce. You will oversee multiple teams, collaborate with senior leaders, and engage with global partners to ensure GXO’s benefits offerings are competitive, compliant, and aligned with organizational objectives. Pay, benefits and more. We offer competitive compensation and a comprehensive benefits package, including medical, dental, vision, 401(k), life insurance, disability coverage, and more. What you’ll do on a typical day: • Shape and execute GXO’s global benefits strategy in alignment with business growth, workforce needs, and cost objectives., • Lead, mentor, and develop a high-performing, multi-regional benefits team and empower their professional growth., • Oversee the design, implementation, and continuous improvement of benefits programs for all employee segments, including union, non-union, and international populations., • Partner with executive leadership, finance, legal, and HR to align benefits strategy with business priorities and drive change initiatives., • Ensure global compliance with all relevant regulations (ERISA, ACA, HIPAA, local country requirements), governance standards, and risk management protocols., • Direct vendor strategy and negotiations, managing relationships with brokers, consultants, insurers, and wellness partners to optimize service and value., • Drive benefits innovation—leveraging technology platforms to enhance employee experience and automate administration at scale., • Lead annual renewals, plan design, and cost modeling, providing strategic recommendations to executive teams., • Champion global well-being, mental health, and safety initiatives tailored to the demands of logistics and supply chain work., • Develop and oversee communication strategies that increase employee engagement, understanding, and participation in benefits programs worldwide., • Represent GXO externally at industry forums and ensure best practice benchmarking. What you need to succeed at GXO: At a minimum, you’ll need: • Bachelor’s degree or equivalent work/military experience, • 10+ years of progressive experience in U.S. and international benefits, with at least 5 years in a senior leadership role, • Proven experience leading large, multi-regional teams and managing complex vendor relationships, • Strong knowledge of ERISA, ACA, COBRA, HIPAA, 409A, and other global compliance regulations, • Strong business acumen, strategic planning, and financial modeling capabilities, • Proficiency in Microsoft Office and HR technology platforms (Darwin, Workday, etc.), • Experience in logistics, manufacturing, or large-scale shift-based environments, • Strong analytical, research, and problem-solving skills, • Ability to drive innovation, lead transformation, and deliver results in a global, matrixed organization GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work. We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement ___The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement

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).

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).

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).

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).

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 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 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).

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).

Distinguished Machine Learning Engineer- Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Distinguished Machine Learning Engineer, you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. Responsibilities: * Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in * Collaborate on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates * Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team * Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible * Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization * Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner * Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent Basic Qualifications: * Bachelors Degree * At least 7 years of experience in Software Engineering * At least 5 years of experience in Machine Learning Systems and Infrastructure Preferred Qualifications: * Masters’ Degree * 7+ years of experience using Python, Java, Go, and SQL * 6+ year of experience deploying machine learning models * Ability to understand deploying Machine Learning models in production environments at scale * Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs * 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis * 3+ years of experience with Databricks or Snowflake * Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency reduction At this time, Capital One will not sponsor a new 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. Remote (Regardless of Location): $239,900 - $273,800 for Distinguished Machine Learning Engineer Richmond, VA: $239,900 - $273,800 for Distinguished 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 (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 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).

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).

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 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).

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 (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).

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).

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).

Job Description A well-established mechanical contractor in Queens, NY is seeking a motivated HVAC Estimator. The company is looking to build a stronger team and expand. Candidate must possess a high degree of integrity, attitude, written/verbal communication skills, loyalty towards the company and its employees. Our shop is in Queens, NY, most projects are based in NYC/boroughs. The estimator is expected to attend walkthroughs, bid projects of all sizes, and must be able to send bids out with minor review. The successful candidate will have the following skills: The successful candidate will be self-sufficient and estimate plan and spec HVAC projects (must be able to complete your own piping/sheetmetal takeoffs), analyze quotes, compile accurate cost estimates, and prepare proposals/bid forms. Successful candidate must have a working knowledge of HVAC system function/design, sheet metal and piping estimating/sketching/fabricating knowledge and project management skills. Attend Job Walkthroughs/Jobsites/project coordination and owner/contractor/architect/engineer meetings as needed. Ability to work independently to organize and prioritize work. Review bid requests, plans and specifications, etc. to qualify projects for appropriate action, maintain bid lists. Interact with subcontractors and vendors to verify accuracy of proposals. Prepare estimates on multiple projects concurrently. Upon successful bids, you will be involved in managing the office side of the project (prepare submittals, shop drawings, budget/negotiate/purchase/coordinate equipment/materials for projects, create/review change orders, close out documents etc. as needed) until project completion as well as bidding other projects. Work with project team as required. Provide timely constructive feedback to direct supervisor regarding project status, risks, and concerns. Must have working knowledge of all typical computer programs used in this work environment such as Microsoft Windows, MS Office (MS Word, Excel, and Outlook), Dropbox, Google Drive, printing, scanning etc. Complete other duties as assigned. The annual gross base salary range is $70,000-100,000+. Actual salary will vary and are based on factors such as a candidate’s qualifications, skills, and competencies. Must have a valid NY Drivers' license with a clean driving record and will undergo a background check. Must send resume and references. Only candidates under consideration will be contacted.

VDC Engineer US-NY-New York Job ID: 2025-3209 Type: Regular Full-Time of Openings: 1 Category: Information Technology The LiRo Group Overview We have an immediate need for a part-time/as-needed VDC Engineer for our New York City Office in lower Manhattan. LiRo-Hill Virtual Design & Construction Operations (VDCO) is a multidisciplinary practice seamlessly integrating technology and innovation for the built environment. Our team has a long history of delivering complex, ambitious projects utilizing the latest technology. The team consists of full-time staff with backgrounds and focuses ranging from Architecture, Engineering, Construction Management and Operations. We implement BIM, Reality Capture, 3D coordination, Project Controls, Data Analytics, BIM Implementation Consulting, and much more. Come join our team! We are looking to build services and capabilities through the growth of our key asset - our staff. Ranked among the nation's top A/E firms by Engineering News-Record, LiRo-Hill provides construction management, engineering, environmental, architectural, and program management solutions. You can become part of an organization that has a strong track record and is looking to strengthen relationships and capabilities to be a trusted resource for our clients in the public and private sector. We are proud to be known as an “Integrated Construction, Design and Technology Solutions” firm and we have delivered on that label time and again. Recently, Global Infrastructure Solutions Inc. (GISI), the parent company of The LiRo Group and Hill International, Inc. consolidated a portion of the highly experienced staff of both LiRo and Hill in the Northeast to create a larger, more efficient, and cost-effective team to serve clients. LiRo-Hill is a 1100-person firm with offices in NYC, Long Island, Buffalo, Rochester, Boston and Metro Park, NJ. Responsibilities • Assist in Scan-to-BIM workflows including LiDAR scanning and point cloud processing., • Produce highly detailed 3D models using Revit, consistent with AEC industry guidelines, and LiRo standards and practices., • Create design and construction documentation including axonometric 3D views, sections and elevations., • Create 4D models using resource loaded P6 schedules and Fuzor/Synchro., • Create renderings and simulations on an as-needed basis for marketing or project use, • Use tools such as Navisworks and ACC to support project collaboration and coordination across multiple disciplines., • Interface with Construction/Design teams to coordinate BIM content and approaches, model exchanges, quality control, and delivery., • Visualize and create reports on an ongoing basis., • Troubleshoot BIM software and platform issues and stay current with emerging tools and technologies. Qualifications Required Qualifications: • Bachelor’s degree or higher in Architecture, Engineering, Civil Engineering, Construction Management, or an AEC-related discipline., • Min. 3 years of hands-on experience working as a BIM/VDC Professional., • Excellent verbal and written communication/presentation skills, with the ability to express ideas clearly and professionally to both technical and non-technical audiences., • Ability to read, understand, and interpret contract drawings, specifications, scopes of work, and project schedules., • Proficiency in Autodesk products such as Revit, AutoCAD, Civil 3D, Navisworks, and ACC Model Coordination., • Strong Revit Modeling experience., • Experience working with Public Sector clients / projects is highly preferred., • Experience with software development using Revit APIs, Python, and Dynamo is a plus., • Familiarity with Bentley software, ArcGIS, AutoCAD, Primavera P6, or IBM Maximo is advantageous., • Valid Driver's License, ability to drive to job sites., • This position requires often driving to, working from client/field offices in and around NYC areas., • The candidate must be authorized to work in the USA., • Visa Sponsorship is not available. Our Culture: We believe in the power of collaboration. We work hard to build a corporate culture that empowers all our employees to freely share their ideas, know their presence, and contributions are truly valued, fostering a climate where our employees are enabled to maximize their full potential. -We offer a comprehensive benefits package and a positive work environment -Compensation: Minimum: $75,000: Maximum: $115,000. The range provided is the salary that the Firm in good faith believes at the time of this posting is willing to pay for the advertised position. Exact compensation will be determined on the individual candidates’ qualifications and location. LiRo-Hill is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. #ID22 #ZR22 PIa02e6f1605e7-37820-38829915

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris Technologies is the Trusted Disruptor in the defense industry. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Associate, Electrical Engineer (Rochester, NY) Job Code: 25534 Job Description: * Determine design approaches and parameters * Perform system analysis to determine feasibility of design within time and cost constraints * Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and evaluate results * Select components and equipment based on analysis of specifications and reliability * Perform simulations and present design reviews to peer engineers * Write scripts to control synthesis and build tools Digital Engineering * Design, analyze, modify, test and evaluate FPGA and programmable hardware * Design complex Circuit Card Assemblies to support Avionics and Space customer’s photonic subsystems and integrated communication systems * Digital Design requires programmable logic, VHDL language and digital communications systems knowledge * Modem Design (including SATCOM, wireless, cellular and software defined radios) requires knowledge of digital communications systems, waveform generation and signal processing, FPGA design (in VHDL) and familiarity with Digital Signal Processors chips * DSP design positions require knowledge of digital signal processing techniques, algorithm development, software coding and simulation/modeling using MATLAB * Microelectronics Design requires training in advanced electronics packaging and MEMS technology * Experience with high density interconnect and semiconductor packaging technology is desired * Determine design approaches and parameters * Perform system analysis to determine feasibility of design within time and cost constraints * Utilize modeling tools and equipment to establish operating data, conduct experimental tests, and evaluate results * Select components and equipment based on analysis of specifications and reliability * Perform simulations and present design reviews to peer engineers * Ability to write scripts to control synthesis and build tool Qualifications: * To be eligible, applicants must be pursuing a Bachelor’s Degree in Electrical Engineering, Computer Engineering, Electrical & Computer Engineering, Materials Engineering, Materials Science Engineering or related field or have completed their Bachelor’s degree within the last 12 months, regardless of age. Preferred Skills: * Knowledge and/or experience with VHDL, MCM, HFSS, Network, Power, Analog, Antennas, Controls, ENE, RF, Photonics, Modem, EDA, DSP, MATLAB, Communication Systems, FPGA, Aerospace industry or Optical Engineering * Knowledge of Code V and/or Zemax software tools * Excellent communication, technical writing and presentation skills * Knowledge of FRED, Matlab, Python * Knowledge of and/or understanding circuit analysis and operational concepts * Familiarity with various computing environments (LINUX/Windows) In compliance with pay transparency requirements, the salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, and Vermont is $61,000- $113,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in ___ or ___. For information regarding your Right To Work, please click here for ___ or ___.

\n \n\n\n Sr. Software Quality Engineer - Kohler Ventures \n \n Work Mode: Hybrid \n \n Location: Hybrid, 3 days/week onsite in Palo Alto, CA or NYC Opportunity Kohler Ventures is an independent company wholly owned by Kohler Co., global leader in the manufacture of kitchen and bath products, tile and home interiors, and an international host to award-winning hospitality and world-class golf destinations. Our mission is to build new digital businesses that empower consumers to lead healthier lives. We explore how familiar experiences can be enhanced and innovations developed through the integration of leading-edge technology, science, and design. Come join us as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships. In your role as Senior Software QA Engineer at Kohler Ventures you will: • Work directly with the Head of Software, software/hardware engineering team, and product teams., • Build the forward-looking vision and lead the effort to ensure the entire development lifecycle takes a quality first approach., • Help deploy and integrate test automation into the CI/CD pipeline., • Establish testing patterns, best practices, and increase test coverage (in partnership with engineers)., • Conduct technical reviews for new features and identify quality concerns. Required Qualifications • You hold a bachelor’s degree in computer science, Engineering, or related field., • 5+ years of experience as a Software QA Engineer, at least 3 years in mobile., • Experience with functional, regression, and end to end testing., • Experience with some of test automation tools/frameworks such as Appium, Espresso or XCUI., • Experience validating iOS and Android systems and devices., • Ability to translate business requirements into test plan and develop test automations at all layers., • Minimal travel both domestic and international as needed., • Availability to work outside of standard business hours to be able to collaborate with teams and vendors across multiple time zones., • Knowledge in\nsoftware and hardware/firmware and information security for cloud and IoT\ndevices., • Experience in development using script\nprogramming languages #LI-NR1 #LI-Hybrid \n \n The base salary range for this position\nis $115,100 - $143,850. The actual base salary offered to a candidate may be\nhigher than the approved range. This will vary depending on a variety of\nfactors including the candidate’s experience, their education, and the work\nlocation. This position is subject to Area Salary Differential (Cost of Living\nAdjustment) that ranges from 16% of base salary for the NYC metro area. The\nbase salary range including ASD for this position is $133,516- $166,866 depending\non location. In addition, this position is eligible for a performance bonus and\na special project incentive. Available benefits include medical, dental,\nvision and 401k. \n \n Why Choose Kohler? \nWe empower each associate to #BecomeMoreAtKohler with a competitive total rewards package to support your health and wellbeing, access to career growth and development opportunities, a diverse and inclusive workplace, and a strong culture of innovation. With more than 30,000 bold leaders across the globe, we’re driving meaningful change in our mission to help people live gracious, healthy, and sustainable lives. \n \nAbout Us It is Kohler’s policy to recruit, hire, and promote qualified applicants without regard to race, creed, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, disability or status as a protected veteran. If, as an individual with a disability, you need reasonable accommodation during the recruitment process, please contact . Kohler Co. is an equal opportunity/affirmative action employer. \n \n \n\n\n

The Opportunity Join our dynamic team as a Data Software Engineer – Corporate Technology Data Engineering & Analytics, where you'll play a pivotal role in leading the design, development, and administration of complex AWS environments and contribute to enterprise-wide data initiatives. The ideal candidate will bring experience working with global delivery teams, demonstrate thought leadership in data architecture, and actively mentor junior engineers to build internal capability. The Team You’ll be an integral part of our esteemed Corporate Technology Team, focused on Data Engineering & Analytics. Our team operates on a global scale, driving innovation and excellence across diverse areas of expertise. As a Senior Business Systems Analyst, you'll play a pivotal role in high impact Corporate Technology Finance Initiatives, ensuring alignment with organizational objectives and driving impactful outcomes. This is an opportunity to collaborate closely with our Corp Technology leadership team as well as our CFO customers. Our team thrives on collaboration, innovation, and a shared commitment to excellence. Together, we're shaping the future of technology within our organization and making a lasting impact on a global scale. Join us and be part of a dynamic team where your contributions will be valued and your potential unleashed. The Impact: • Lead the design, development, and deployment of end-to-end data engineering solutions on AWS, ensuring scalability, performance, and security., • Administer and manage a broad range of AWS services such as EC2, S3, Glue, Lambda, IAM, and more in a production environment., • Develop and maintain infrastructure as code using tools like AWS CloudFormation or Terraform., • Design and orchestrate complex data pipelines using Apache Airflow or AWS Step Functions to enable reliable ELT/ETL processes., • Implement data quality checks, monitoring, and alerting to ensure data integrity and reliability., • Collaborate with global delivery teams across time zones to deliver high-quality, well-documented solutions on schedule., • Develop and evaluate proof-of-concepts (POCs) for AWS-native and third-party tool integrations (e.g., Databricks, Snowflake)., • Conduct architecture reviews, provide code-level guidance, and establish best practices across cloud, data, and DevOps efforts., • Mentor junior engineers and support team skill development through peer reviews, technical coaching, and design sessions., • Participate in roadmap planning and contribute to long-term data platform strategy and technology selection., • Ensure compliance with data governance, security, and operational standards across all engineering activities. The Minimum Qualifications • Bachelor’s in Computer Science, Engineering or related technical field, • 8+ years of experience building and managing Cloud solutions preferably in the AWS ecosystem, including infrastructure and data services, • 2+ years experience with understanding of data warehousing concepts, ODS, dimensional modeling, and scalable architecture design, • 2+ years experience with Terraform, Apache Airflow, Databricks or Snowflake in a production or large-scale prototype environment, • 2+ years experience in Python, SQL, and automation scripting, • 2+ years experience with containerization (Docker, ECS, EKS) The Ideal Qualifications • Master’s degree in Computer Science, Engineering or related field, • AWS Certifications (Solutions Architect, Data Analytics, or DevOps Engineer)., • Knowledge of streaming data technologies (e.g., Kinesis, Kafka), • Exposure to data lake and data warehouse architectures, • Experience with monitoring and observability tools (e.g., CloudWatch, Datadog, Prometheus), • Exposure to machine learning pipelines and MLOps tools (e.g., SageMaker, MLflow, Kubeflow), • Demonstrated experience working with global delivery teams and cross-functional stakeholders, • Strong communication skills with a proven ability to work across functional teams, • Experience with data lake architecture, data governance frameworks, and modern metadata management, • Familiarity with modern DevOps practices including CI/CD pipelines, monitoring, and alerting in cloud environments, • Experience with data cataloging tools (e.g., AWS Glue Data Catalog, Apache Atlas), • Understanding of data privacy regulations and compliance (e.g., GDPR, HIPAA), • Exceptional communication and interpersonal skills, • Ability to influence and motivate teams without direct authority, • Excellent time management and organizational skills, with the ability to prioritize multiple initiatives #LI-RK1 MassMutual is an equal employment opportunity employer. We welcome all persons to apply. If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

\n \n\n\n Sr. DevOps Engineer - Kohler Ventures \n \n Work Mode: Hybrid \n \n Location: Hybrid, 3 days/week onsite\nin either NYC or Palo Alto, CA Opportunity Kohler Ventures is an independent company wholly owned by Kohler Co., global leader in the manufacture of kitchen and bath products, tile and home interiors, and an international host to award-winning hospitality and world-class golf destinations. Our mission is to build new digital businesses that empower consumers to lead healthier lives. We explore how familiar experiences can be enhanced and innovations developed through the integration of leading-edge technology, science, and design. Come join us as we build a best-in-class global multi-disciplinary team across artificial intelligence, machine learning, design, advanced software and hardware engineering, strategy, venture investments, sales, marketing, and partnerships. Our locations are Palo Alto, CA US, New York City, NY US, Kohler, WI US, Seoul, Korea, and Tel Aviv, Israel. In your role as Sr. DevOps Engineer at Kohler Ventures you will: • Work directly with the Head of Software, software engineering team, and product teams, • Design cloud backend architecture that can scale with the business growth of Kohler Ventures, • Build the forward-looking vision and lead the effort to understand and drive requirements with hardware/software teams. Required Qualifications: • You hold a bachelor’s degree in computer science, Engineering, or related field., • You’ve spent over 5 years orchestrating the cloud tasks with AWS and CDK., • You embody the essence of DevOps processes advocating for collaboration, monitoring automation and continuous improvement., • Hands-on experience with wide range of AWS services including networking, security, apps hosting, scripting infrastructure as code, supporting productions environments, monitoring/troubleshooting/ maintaining high availability, scalability, robustness, and performance. Kubernetes, ArgoCD (K8S controller), Github Actions, • Availability to work outside of standard business hours as needed to be able to collaborate with teams across multiple time zones., • Experience deploying and maintaining data streaming platforms experience with either Kafka or Solace., • Strong technical experience in some of the following areas: API Descriptor specifications, such as Protocol Buffers, GraphQL, OpenAPI., • Experience in cloud security architecture and infrastructure., • Strong ability to communicate complex technical and management information clearly and concisely. #LI-NR1 #LI-Hybrid \n \n The approved base salary range for this\nposition is $114,500 - $145,450. The actual base salary offered to a candidate\nmay be higher than the approved range. This will vary depending on a variety of\nfactors including the candidate’s experience, their education, and the work\nlocation. This position is subject to Area Salary Differential (Cost of Living\nAdjustment) that ranges from 16% of base salary for the NYC metro area. The\napproved base salary range including ASD for this position is $132,820 -\n$168,722 depending on location. In addition, this position is eligible for a\nperformance bonus and a special project incentive. Available benefits\ninclude medical, dental, vision and 401k. \n \n Why Choose Kohler? \nWe empower each associate to #BecomeMoreAtKohler with a competitive total rewards package to support your health and wellbeing, access to career growth and development opportunities, a diverse and inclusive workplace, and a strong culture of innovation. With more than 30,000 bold leaders across the globe, we’re driving meaningful change in our mission to help people live gracious, healthy, and sustainable lives. \n \nAbout Us It is Kohler’s policy to recruit, hire, and promote qualified applicants without regard to race, creed, religion, age, sex, sexual orientation, gender identity or expression, marital status, national origin, disability or status as a protected veteran. If, as an individual with a disability, you need reasonable accommodation during the recruitment process, please contact . Kohler Co. is an equal opportunity/affirmative action employer. \n \n \n\n\n

TL;DR Come join a hypergrowth AI startup and own the customer journey end-to-end. You’ll get more responsibility than you can handle, guaranteed :-) Location • Mon-Fri in NYC HQ (we learn best shoulder-to-shoulder) About Ajax Lawyers track their time in 6 minute increments. Lost billables and time cost them $100B/year. • Today, Ajax uses AI to automate timekeeping, find lost billables, and make lawyers’ days suck less., • Long-run, we’ll use data Ajax already processes - emails, docs, zooms, calls, browsing, and more - to file emails, automate reporting, manage firm profitability, preempt angry clients, and more. Stage: We’ve hit product-market fit, with customers saying things like “this app saved my life” and “I’m divorcing my husband for Ajax.” ARR is tripling every ~3 months. Founding Team: • Jack Weinberger - Founder, GTM (Yale, PE, Chief of Staff at Humming Homes), • Alex Weinberger - Founder, Eng. & Product (Amazon, Founding Eng. at dub), • Roger Jin - Founding ML Engineer (Harvard, Carnegie Mellon, nference) Why This Role Is Critical Each new firm runs a pilot before subscribing. Their buy decision hinges on whether users understand the app, feel supported, and see their preferences reflected in it. Our current pilot process reliably gets users to an “aha” moment (we’ve won 97% of pilots this year), but it’s high-touch. To win pilots, we run kickoffs, coach users, customize settings, spot issues, build fixes, document ROI, and more. You’ll own pilots - the most critical point in the customer journey - end-to-end, and figure out how to scale them as we onboard 10x more users each month. What You’ll Do You’ll win pilots - the most important point in the customer journey: • Our pilots reliably get users to an “aha” moment (we’ve won 97% of pilots this year), but it’s high-touch. We run kickoffs, coach users, customize settings, spot issues, build fixes, document ROI, and more., • You’ll have broad latitude to remake our processes, and your own role, as we grow. We don’t want rule-followers - we want to hire incredible people and give them lots of room to build., • If you succeed, you will be the reason Ajax grows 10x. Are you up for it? You might thrive here if… • Talking to users and solving their problems energizes you., • You’d rather ship v1 and learn than wait for perfect directions., • Your curiosity drives you to learn new skills and dive deep into problems., • You’re comfortable diving into Excel, and know (or are excited to ramp quickly on) SQL, • You communicate with clarity and kindness, whether to a paralegal or a partner, and you can be persuasive without leaving stakeholders with a sour taste., • You enjoy turning ad-hoc processes into repeatable systems Imposter-syndrome disclaimer: research shows some candidates avoid applying unless they check every box. If this role excites you, please reach out even if your experience looks a little different. What You’ll Get • $120-150k base + meaningful equity, • Benefits: health, dental, vision, unlimited PTO, • Daily collaboration with founders on product decisions, • A chance to bet on yourself and grow with us! Our Values (and how to tell if you’ll love it here) Earn “I’ll tell everybody I know about it” love from our customers • Everything we do is oriented towards earning customers’ love, trust, and referrals., • You’ll spend lots of time walking users through features, investigating their usage and proactively proposing improvements, and even doing things that don’t scale like sending donuts to power users., • Does this degree of customer obsession exhaust or energize you? Ship early and often • A customer reports a bug. You drop everything to investigate and manage to fix it in 4 minutes., • You email the customer immediately to report that you’ve solved their problem. They thank you effusively for the quick response and say they’re recommending Ajax to a friend at another firm., • Are you comfortable in an environment where velocity is this important? Own the outcome • We only bring somebody on if we can imagine looking back in 5 years and saying ‘they were the single most important driver of our success.’”, • You will deal with high-stakes situations and be responsible for the outcomes. If you do an incredible job, you’ll be the reason Ajax grows 10x - and your scope will grow along with it., • Do you want such a steep growth curve? If helping customers succeed and building new processes from scratch sounds fun, we’d love to hear from you! Ignore the LinkedIn form and apply here: Jack & Alex, Co-Founders of Ajax

About NYC Health + Hospitals NYC Health + Hospitals is the largest public health care system in the United States. We provide essential outpatient, inpatient and home-based services to more than one million New Yorkers every year across the city’s five boroughs. Our large health system consists of ambulatory centers, acute care centers, post-acute care/long-term care, rehabilitation programs, Home Care, and Correctional Health Services. Our diverse workforce is uniquely focused on empowering New Yorkers. At NYC Health + Hospitals, our mission is to deliver high quality care health services, without exception. Every employee takes a person-centered approach that exemplifies the ICARE values (Integrity, Compassion, Accountability, Respect, and Excellence) through empathic communication and partnerships between all persons. Work Shifts 8:00 A.M – 4:00 P.M Duties & Responsibilities Purpose of Position Under general supervision of the Director, Engineering and Support Services, assists in planning, directing, coordinating and evaluating capital programs of the Corporation, including General Construction, Telecommunications, Energy Conservation and other Engineering Support Programs. In collaboration with the Director, formulates and evaluates programs and projects of the office and supervises the functional programming activities of discrete units directed toward accomplishing the division’s objectives. Examples of Typical Tasks • Plans and develops engineering projects concerned with problems which have a major impact on the operation and function of a designated unit., • Directs, coordinates and maintains control over project assignments and related activities., • Prepares reports, develops and prepares engineering management audits, studies, surveys for Director of Engineering and Support Services and/or other Corporate officers detailing proposed new programs, statistical studies, leasing property, health facilities planning with recommendations and other data as required. Monitors progress and implementation of approved recommendations., • Maintains liaison with Federal, State and City agencies pertaining to engineering design, construction and other related areas., • Plans and implements programs to establish performance standards to attain increased productivity and accountability., • Supervises project activities through the assignment of qualified key personnel by establishing and maintaining project budget, equipment, material supplies and necessary services and by obtaining and furnishing personnel with basic job information., • Attends staff meetings, reviews capital and expense budget submissions and provides recommendations regarding proposed projects and programs., • Participates in collecting and providing management information to record and report status of projects, assignment and cost by Capital Budget Control and other departments., • May provide consultation services to Executive Directors pertaining to engineering, construction design projects and other engineering support programs and functions., • Coordinates efforts and cooperates with Departmental Managers and Directors on matters of mutual concern and extends functional guidance and assistance., • Participates in developing and preparing standard methods and procedures for implementation of maintenance operations, construction contracts, capital projects development and support service program activities. Provides technical assistance in review of existing maintenance and engineering procedures, service and construction contracts and preventative maintenance for all Corporate facilities. Minimum Qualifications • Qualification for Central Office. Qualification for Health Care Facilities. 1. A Baccalaureate Degree in Engineering or Architecture from an accredited college or university; or,, 2. New York State licensure as a Professional Engineer or Registered Architect; and,, 3. Five years of experience in Construction, Design, Engineering or related fields in a health care environment, including three* or two# years in a supervisory capacity; or,, 4. A satisfactory equivalent combination of education, training and experience. Department Preferences • Bachelor's degree in Architecture, Engineering, Industrial Engineering, Contruction Management or an approved related discipline from an accredited college or university Benefits NYC Health and Hospitals offers a competitive benefits package that includes: • Comprehensive Health Benefits for employees hired to work 20+ hrs. per week, • Retirement Savings and Pension Plans, • Paid Holidays and Vacation in accordance with employees' Collectively bargained contracts, • Loan Forgiveness Programs for eligible employees, • College tuition discounts and professional development opportunities, • College Savings Program, • Union Benefits for eligible titles, • Multiple employee discounts programs, • Commuter Benefits Programs

Civil Engineer National Client Base About the Role HC Solutions Group has partnered with a nationally recognized engineering firm to recruit a Civil Engineer with opportunities to work across land development, roadway design, and water resources engineering. This position offers a diverse project portfolio and the ability to contribute to meaningful infrastructure that serves communities nationwide. Responsibilities Land Development (Commercial, Residential, Mixed-Use, Industrial) • Design grading plans, site layouts, and utility systems for site development projects., • Develop stormwater management facilities, erosion control, and detention/retention systems., • Prepare site development plans and coordinate with survey, geotechnical, and environmental teams., • Perform horizontal and vertical roadway alignment design per AASHTO and DOT standards., • Conduct pavement design, traffic analysis, and intersection design., • Prepare construction drawings, cross-sections, and quantity estimates., • Perform hydrologic and hydraulic modeling using HEC-HMS, HEC-RAS, or similar tools., • Design culverts, storm drains, open channels, and water distribution systems., • Conduct floodplain analyses and drainage impact studies., • Prepare technical reports, specifications, and cost estimates for client and regulatory approval., • Support project management activities, including scheduling, budgeting, and client communication., • Provide construction phase services, including RFI responses, submittal reviews, and site inspections., • Collaborate with multidisciplinary teams to deliver quality, sustainable engineering solutions. Qualifications • Bachelor’s degree in Civil Engineering (or related field)., • 3+ years of civil engineering experience., • EIT required; PE preferred., • Technical experience in land development, roadway design, or water resources., • Proficiency in Civil 3D, MicroStation, or other civil engineering design software., • Strong technical, communication, and teamwork skills. Pay & Benefits • Competitive base salary (based on experience)., • Comprehensive benefits package including health, dental, vision, and retirement., • Professional development opportunities and PE licensing support., • Flexible work environment with national project exposure. Why Join • Opportunity to work with a national client base on high-impact projects., • Exposure to diverse engineering disciplines and career growth pathways., • Collaborative culture that values innovation and quality., • Strong firm reputation with a track record of excellence in civil engineering. Why Apply Through HC Solutions Group? • Direct access to hiring managers and decision makers., • Confidential representation of your candidacy., • Personalized guidance throughout the hiring process., • Opportunities with top employers across the U.S. engineering market.

About Alaffia & Our Mission Each year, the U.S. healthcare system suffers from over $500B in wasted spending due to medical billing fraud, waste, and administrative burden. At Alaffia, we’re committed to changing that paradigm. We’ve assembled a team of clinicians, AI engineers, and product experts to build advanced AI solutions that will directly bend the cost curve for all patients across the healthcare ecosystem. Collectively, we’re building best-in-class AI software to provide our customers with co-pilot tools, AI agents, and other cutting-edge solutions to reduce administrative burden and reduce healthcare costs. We’re a high-growth, venture-backed startup based in NYC and are actively scaling our company. About the Role & What You’ll Be Doing Alaffia is a healthcare AI startup revolutionizing health and data automation. Our AI-driven platform leverages state-of-the-art generative AI and machine learning technologies to enhance accuracy, efficiency, and compliance in medical billing and auditing. As we scale, we are seeking a Senior Applied AI Engineer to build the cutting-edge AI solutions, drive innovation, and shape the future of healthcare automation. At Alaffia, AI is at the core of our mission. We are seeking an experienced engineer who is passionate about deploying scalable, safe, and regulatory-compliant AI-driven systems. Our AI technology powers intelligent automation for medical billing, ensuring accuracy and operational efficiency. We seek someone who thrives on building large-scale AI systems that enhance workflow efficiency, while also prioritizing all the necessary safety guardrails for responsible AI. You will have the opportunity to orchestrate various AI agents with an optimized system design that integrates AI platforms, data storage, and human-in-the-loop feedback. In this role, you’ll be shaping the future of AI-driven healthcare automation while tackling some of the most significant challenges in AI deployment and monitoring. Your Responsibilities • Deploy NLP, OCR, and multi-modal AI products on secure cloud environments., • Design AI system, focusing on pipeline architecture and tooling to ensure scalability, observability, performance, latency and fault tolerance requirements, • Design data schema and develop ETL processes to integrate data and human annotation with AI model tuning and benchmarking pipelines., • Create best practices for data and AI experiment management, • Write highly robust, scalable code that is flexible, reusable, and adaptable to evolving requirements., • Ensure high code quality through rigorous code review processes and foster a collaborative engineering culture., • Build and leverage AI tools to improve developer efficiency and alignment across teams., • Proactively identify, resolve, and mitigate technical risks before deployments and releases. What We’re Looking For: • 8+ years of technical experience, with at least 4+ years in a dedicated software engineering role, • Strong background in data modeling, versioning, and storage for AI data and annotation, • Recent development experience of scalable enterprise AI products, • Proficient in multiple AI frameworks, for example, MLFLow, LangChain, LangFuse, CrewAI, Weights & Bias, • Firm understanding of AI software development and quality assurance procedures, • Working knowledge and design skills across a wide array of databases, • Experience with AI experiment tracking, monitoring, and comparison, • Demonstrated ability to stay up to date with the latest AI methodologies and systems., • Exceptional problem-solving skills and the ability to work in a fast-paced, evolving environment., • Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to non-technical stakeholders. Our Culture At Alaffia, we fundamentally believe that the whole is more valuable than the sum of its individual parts. Further to that point, we believe a diverse team of individuals with various backgrounds, ideologies, and types of training generates the most value. Our people are entrepreneurial by nature, problem solvers, and are passionate about what they do — both inside and outside of the office. What Else Do You Get Working With Us? • Competitive compensation package (cash + equity), • Medical, Dental and Vision benefits, • Flexible, paid vacation policy, • Work in a flat organizational structure — direct access to Leadership

Description We are seeking a mid-level Roadway/Highway Project Engineer to join our growing NYC Office. The position is Hybrid: 3-days in office / 2-days remote. The desired individual will be leading and assisting on civil roadway and transportation projects and responsible for overseeing and mentoring junior staff on design projects. The individual in this role will work within multidisciplinary project teams and will apply their experience of geometric roadway design, pavements, utilities, and design standards and guidelines on projects for government agencies in New York City and New York State. Position Responsibilities • As lead designer, independently perform and execute final design of roadway horizontal and vertical geometry, roadway design plans and profiles, utility plans and profiles, cross-sections, ADA compliance, maintenance and protection of traffic plans (work zone traffic control plans), markings, and signage plans using Civil 3D (required) and Microstation (preferred)., • Create and configure roadway surface and utility network models utilizing Civil 3D, InRoads and/or OpenRoads Designer., • Generate design concepts and alternative options for roads and civil infrastructure to facilitate preliminary design and cost estimating., • Engage in cross-disciplinary design coordination with internal or external project staff, clients and governmental agencies to fulfill the needs of the project and acquire all necessary permits or approvals., • Oversee and assist in the development and review of technical engineering documents, design plans, specifications, reports, and cost estimates., • Perform technical and quality reviews of engineering work by others in accordance with company, industry, and/or client design standards., • Delegate and/or assign design tasks to junior staff., • May be required to travel within New York City and New York State for project design investigations and/or construction support oversight. Required Skills • Proficiency with roadway and highway modelling applications including Civil 3D (required), Inroads (preferred) and OpenRoads Designer (a plus)., • Proficiency with or working knowledge of NYCDOT, NYSDOT, NYSTA and PANYNJ design requirements and guidelines., • Proficiency with or working knowledge of AASHTO A Policy on Geometric Design of Highways and Streets, 7th Edition and Roadside Design Guide, 4th Edition., • Proficiency with or working knowledge of FHWA, • Strong interpersonal, oral, and written communication skills and the ability to communicate effectively with project team members and clients., • Strong technical and problem-solving skills with attention to detail, accuracy, and completeness., • Strong organizational skills with the ability to work independently and prioritize as required., • Ability to progress technical concepts from inception through final design with minimum oversight and serve as a technical resource to staff and upper management., • Ability to lead and manage small projects and teams and prioritize multiple assignments with multiple disciplines., • Desire to learn and embrace technology to improve workflows and internal design process., • Ability and enthusiasm to work in a collaborative office setting., • Desire to embrace and adhere to our quality culture in all aspects of design., • Understand basic safety requirements and motivation to uphold our safety culture. Experience/Education • BS or MS degree in Civil Engineering with an emphasis on Civil/Roadway/Highway Engineering., • 7-10 years of experience, • PE license required About Us We are a well-established multi-disciplinary architecture and engineering firm that has been serving clients since 1982. With four decades of experience and expertise, we have evolved from a transportation engineering firm to a comprehensive, full-service organization with seven office locations in New York State. Our extensive portfolio of successful projects has earned us a trusted reputation among our clients. Benefits • 3 weeks Vacation/PTO, • Medical, • Dental, • Vision, • Safe Harbor 401k, • Life Insurance, • HSA Contribution 1K per year, • Cell Phone and Meal/Travel Reimbursement, • Tuition Reimbursement Email Your Resume In Word To Looking forward to receiving your resume through our website and going over the position with you. Clicking apply is the best way to apply, but you may also: • Please do NOT change the email subject line in any way. You must keep the JobID: linkedin : DO5-1854120 -- in the email subject line for your application to be considered.*** Danielle Olson - Executive Recruiter For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 05/23/2025 and applications will be accepted on an ongoing basis until the position is filled or closed. CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job Description Who We Are: Ordergroove is a dynamic, fast-paced environment where you will be involved in building something of real value from the ground-up. We're looking for bright, talented people who are excited about innovation, growth, and the exciting world of Relationship Commerce. If you're motivated by a desire to solve problems and deliver groundbreaking insights and solutions you'll fit in perfectly! About the Role: We're seeking a pioneering Analytics Engineer to join our growing data team. This is an opportunity to be an early, foundational team member, playing a critical role in defining how analytics engineering is done at Ordergroove. You'll have the freedom to establish best practices, and influence the direction of analytics across the organization. You'll design and optimize data models, build robust data pipelines, and ensure high-quality, accessible data for stakeholders across the company. If you love working with SQL, dbt, and Python, and thrive in a collaborative, fast-paced environment, we'd love to hear from you. What You Will Do: • Design, develop, and maintain core data models in dbt and SQL, ensuring consistency, accuracy, performance, and appropriate levels of normalization to meet business and technical needs., • Build and maintain data pipelines to ingest, transform, and serve data efficiently, leveraging tools like dbt and Airflow., • Collaborate with engineers, product managers, business stake holders to define key business metrics and ensure seamless data access., • Enable self-service analytics by creating clear documentation and supporting teams in using data effectively., • Ensure data quality and reliability by implementing monitoring systems and designing processes that maintain long-term data integrity., • Advanced SQL & Data Modeling: Strong experience in designing, building, and optimizing SQL-based data models, with an understanding of normalization trade-offs., • Data Pipeline Development: Hands-on experience with dbt and modern ETL/ELT frameworks, following best practices like version control and CI/CD., • Python & Data Engineering: Proficiency in Python for data transformations, workflow orchestration (Airflow), and automation., • Data Warehouse Design: Experience designing and optimizing a data warehouse in BigQuery, including structuring datasets, partitioning, clustering, and optimizations to manage performance at scale., • Data Quality & Governance: Experience implementing monitoring systems, ensuring data consistency, and maintaining high-quality data.Soft Skills & Mindset:, • Strong Communicator: Able to translate technical concepts for non-technical stakeholders, collaborate with engineers, and present insights effectively., • Proactive & Self-Driven: Comfortable working alone, driving projects, and building relationships across teams., • Impact-Oriented: Focused on delivering high-value solutions that empower stakeholders and improve business outcomes.Nice to Have:, • Interest in Data Science and Machine Learning, while this is not a pure data science role, familiarity with ML concepts and their applications in analytics will be a plus., • Knowledge of statistical analysis and experience applying it in real-world data problems., • Familiarity with Django or API, which can be valuable when building internal data tools or collaborating closely with backend engineering teams on data-related features.What Success Looks Like:, • Teams across Ordergroove consistently rate their data access as excellent, with clear documentation that enables confident decision-making., • The data models you build answer critical business questions with accuracy, consistency, and performance. If you don't meet 100% of the qualifications outlined above - that's okay, nobody's perfect! We encourage you to apply if you think this is a role that would make you excited to come into work every day. About Ordergroove: Ordergroove powers recurring revenue for the world's largest and most innovative retailers including L'Oreal, Dollar Shave Club, La Colombe Coffee, Bonafide Health, BarkBox, and more. As a direct result, more than 11% of adult Americans have a subscription powered by Ordergroove. Our technology makes seamless, one-of-a-kind subscriber and membership experiences possible to turn one-time transactions into profitable recurring customer relationships. Ordergroove's powerful platform empowers merchants with highly customizable options such as flexible promotions, bundling, and analytics to bolster their bottom line while making customers' lives easier. We recently achieved a milestone year with 152% year over year new business growth, and were rated best-in-class subscription technology by CB Insights and eCommerce Platform of the Year by RetailTech Breakthrough Awards. Our company values celebrate collaboration, different perspectives, and curiosity with the goal of getting to the right answer, no matter who came up with it. At Ordergroove we are committed to creating a welcoming and supportive environment for all people. We encourage people with different backgrounds and experiences to join our growing team so that we gain different perspectives and build the best team possible. We demand the best of ourselves and each other and never miss an opportunity to celebrate our successes. With a fully flexible work from anywhere culture, staying connected and supporting each other are always top of mind. We build our tight-knit community through small group events like trivia night, cooking classes, and book clubs. We encourage cross-functional relationships through virtual coffees and we stay close to the business through weekly team updates and quarterly all-hands meetings. At Ordergroove, we focus on flexibility and empowering our team to make the right decisions for themselves. We have flexible PTO and a totally remote (anywhere in the US) workforce, and an annual personal development budget that you use for what matters to you (wellness, career development, productivity at home, etc). And of course, that is on top of the basics like competitive compensation (including stock options) and incredible, affordable benefits. Come join our amazing team while we enable the fastest-growing segment of commerce that makes life easier for millions of consumers every day! At Ordergroove, we want to hire, develop and retain the best talent, making Ordergroove a top destination to grow your career. The pay transparency law is a way of narrowing the gender pay gap and fostering an engaged and positive working environment. It is also a way to share what we think is a reasonable, equitable and competitive compensation structure for the roles on our team. The total compensation range for this role is between $120,000 and $140,000 plus equity.

Job Description We are currently hiring a mid-level Mechanical Engineer in our Building Engineering Division – Energy Infrastructure team in our Brookyln, NY office. LaBella’s Energy Infrastructure team provides comprehensive energy efficiency and renewable energy consultancy, including feasibility analyses, and design of mechanical systems. Our engineers are well-versed in all aspects of building and energy systems design relating to a variety of new construction, renovations, and design/build projects for a variety of clientele. The Mechanical Engineer will work with our engineers in a lead role on a variety of decarbonization/electrification projects to develop projects in feasibility stages all the way through design and construction. A successful candidate will be able to work well in a team, mentor junior engineers, and communicate effectively with clients. Duties • Lead design of building HVAC systems and district energy systems, • Field investigations to document existing conditions, • Selection and calculations for design purposes, • Work with Jr Engineers to develop and review project drawings and documentation, • Interact directly with clients by completing analysis of design options, cost benefit comparisons, and communicating results to assist in decision making process., • 8-10 years of relevant experience, • Bachelor’s degree in Mechanical Engineering is preferred, • Well-rounded experience in HVAC and hydronic system design, • Preferred: experience designing geothermal or district energy systems, • Experience with Revit or AutoCAD, • New York State Professional Engineer’s license is a plus, • Excellent verbal and written communication skills Salary Range: $80,000 - $120,000 per year The specific salary offered may be influenced by a variety of factors including but not limited to the candidate's relevant experience, education, and work location. Benefits Body, mind, and wallet—LaBella’s benefits support a holistic approach to your health and wellness, creating the foundation for physical, mental, and financial well-being. Our benefit offerings cover the must-haves (healthcare and retirement), the just-in-cases (insurances and employee assistance programs), and the cherry-on-tops (fitness reimbursements, year-end incentive pay, and tuition assistance). Visit our website for more details on benefits listed below. • Flexible Work Schedule, • Health/Dental Insurance, • 401k Plan with Employer Match, • Short & Long Term Disability, • Profit Sharing, • Paid Time Off, • Leadership Development Program, • Fitness Reimbursement, • Tuition Reimbursement, • Referral Bonus Program, • Wellness Program, • Team Building Events, • Community Service Events

Job Description Works-in-Progress Associates (WPA) is seeking a Project Engineer to join our team! This position will work with the New York City Housing Authority (NYCHA) at the Frederick Douglass Houses in upper Manhattan. The duration of the project is approximately 27 months. The candidate must have knowledge of RFI tracking, contract document review, forecast and cost scheduling, preparation of change order review, and the review of payments. Minimum Requirements: • Baccalaureate Degree in Business, Engineering, Construction Management, Accounting or related field from an accredited college or university, • Minimum 4 years of full-time experience as a Project Engineer in the construction industry, • A driver's license valid in New York State., • Demonstrated proficiency with all applicable software packages including but not limited to MS Windows; MS Office (including Project, Word, Excel, Outlook, and PowerPoint), and Adobe Acrobat., • Must be authorized to work in the United States, • Perform contract document review., • Process / distribute / review submittals, RFIs, project documents, correspondence., • Forecast and cost scheduling tasks., • Monitor the project schedule., • Draft and track change orders/change notices., • Problem resolution, • Payment application review, • Attending meetings and writing minutes of project meetings, • Preparing regular reports and correspondence., • Oversee Maintenance of all project logs., • Assist with the oversight of the submittals process including receiving and distributing, reviewing submittal packages for completeness, and reviewing designated field review submittals for compliance with the contract documents., • Contract close-out., • Ability to build and strengthen long-lasting client relationships by providing reliable service and project solutions., • Ability to communicate clearly and effectively with all management levels. Must have excellent interpersonal, oral, and written communication skills., • Must have strong organizational and time management skills., • Must be able to adapt and prioritize, meeting deadlines, in a fast-paced environment., • Operate with a sense of urgency, quickly responding to clients., • Demonstrated leadership, responsiveness, and accountability., • Detail oriented with strong analytical skills., • Proactive and take initiative. Company DescriptionWPA is a woman-owned Owner's Representative firm and we manage construction projects for mostly nonprofits including schools, hospitals, libraries, etc. in the New York City area. We have been in business for over 30 years and have completed well over 400 projects. We currently have somewhere between 40-50 employees. Because we are a woman-owned firm we are on contracts with larger Construction Management firms such as LiRo, Hill International, Jacobs, Tectonic, Gilbane, etc. and we help them to meet their WBE goals. We provide Project Managers, Inspectors, Estimators, Office Engineers and so on. Currently we are on about 10-15 different contracts.WPA is a woman-owned Owner's Representative firm and we manage construction projects for mostly nonprofits including schools, hospitals, libraries, etc. in the New York City area. We have been in business for over 30 years and have completed well over 400 projects. We currently have somewhere between 40-50 employees.\r\n\r\nBecause we are a woman-owned firm we are on contracts with larger Construction Management firms such as LiRo, Hill International, Jacobs, Tectonic, Gilbane, etc. and we help them to meet their WBE goals. We provide Project Managers, Inspectors, Estimators, Office Engineers and so on. Currently we are on about 10-15 different contracts.

Job Description Who we are: We love what we do and what we do is important! We believe that everyone should leave feeling better – this means not just our guests and owners, but also our teammates. Everyone should go home feeling better because they learned something new, or had fun working that day. Therefore, we hire unique individuals who work together to create amazing experiences for our guests. We recognize that every member of the team contributes to the success of the whole organization. No-one is more important than anyone else, and unless we are in it together, we can’t create that special experience for our guest. Your mission: Should you choose to accept it… If you consider yourself crafty, skilled, great at fixing things, or even in the same category as “Tim the Tool man Taylor” (from the Home Improvement TV show), then we have a job for you. We are looking for an experienced leader that can manage, motivate and inspire a team of Home Depot loving aficionados to be the best that they can be in ensuring that everything in the hotel is in good working order. The Director of Engineering is responsible for maintaining the overall operation of the maintenance department and the appearance and working order of the hotel. The engineer must be able to work independently, as well as, with others. Responsibilities may include: maintaining the exterior of the building, sidewalks, parking lot, and common areas, maintaining all equipment in guest rooms, conducting monthly safety inspections and training the staff on safety and emergency procedures, and working with vendors. The Director of Engineering must be willing to respond to emergencies, and work with corporate maintenance on special remodeling projects or capital expenditure needs. This position requires overall maintenance knowledge and trouble shooting ability with skills in painting, HVAC, carpentry, equipment, and tool usage. The Nitty-Gritty: What exactly you will be doing… In helping you understand your role in working for a progressive, environment conscious, world class organization, the following is a list of your essential job responsibilities. Please keep in mind that this list is not all inclusive and that you may be asked to perform other job tasks by your supervisors/managers not listed below in the constant quest to provide “out of this world” customer service experience for our guests: • Review contracts and negotiate revisions, changes and additions to contractual agreements with vendors, consultants, clients, suppliers and subcontractors, • Requisition supplies and materials to complete construction projects, • Opening Properties: Confer with supervisory personnel, owners, contractors, and design professionals to discuss and resolve matters such as work procedures, complaints, and construction problems, • Interpret and explain plans and contract terms to administrative staff, workers, and clients, representing the owner or developer, • Plan, organize, and direct activities concerned with the maintenance of structures, facilities, and systems, • Prepare and submit budget estimates and progress and cost tracking reports, • Develop and implement quality control programs, • Inspect and review projects to monitor compliance with building and safety codes, and other regulations, • Capable of working with building code officials, planning/zoning officials and community design committees when required, • Experience in managing utility systems, • Prior equipment specifying and purchasing experience preferred, • Maintain communications with the Home Office Team (HOT), • Coach and counsel employees to reflect Virgin service standards and procedures What qualities are we looking for? You got skills? If you are able to perform the following, then you have come to the right place… • Demonstrated ability to effectively interact with people of diverse socioeconomic, cultural, disability, and ethnic backgrounds, • 6 years or more of progressive hotel or building management experience, • With opening hotels, previous hotel pre-opening experience preferred, • Service oriented style with professional presentations skills, • Proven leadership skills, • Must possess the following strengths: high energy, entrepreneurial spirit, motivational leader, effective communicator, effective in providing exceptional customer service and ability to improve the bottom line, • Clear concise written and verbal communication skills in English, • Must be proficient in Microsoft Word and Excel Background must-have: • Current, legal and unrestricted ability to work in the United States, • Bachelor’s degree required, • At least 6 years’ experience in a senior role within facility management or hotel or building engineering, • Ability to clearly and pleasantly communicate in English with guests, management/co-workers, both in person and on the telephone., • Current, legal and unrestricted ability to work in the United States, • Proficient in MS Outlook, word, excel and PowerPoint

Job Description About the Role The Engineering Department at AKRF is seeking an Entry Level Civil Engineer to work in our New York City office. This individual will serve a key function in helping to design commercial, residential, -use, and industrial properties, along with large-scale infrastructure projects. The potential candidate will have the opportunity to work in an environment of encouragement and collaboration to help AKRF shape the future of New York City. Job Responsibilities: • Assist with the preparation and modification of various engineering documents including reports, specifications, plans, construction schedules, cost estimates, and design plans for projects using engineering and design software (AutoCAD, Civil 3D, etc.) and equipment., • Use record documents, reports, maps, drawings, engineering plans, tests, and aerial photographs to assess site characteristics such as hydrology, topographical and geologic data and their impact on the planning and design of projects., • Bachelor of Science in Civil Engineering., • 0-1 years of work experience, • FE/EIT certification preferred., • Excellent written and verbal communication skills., • Strong attention to detail with excellent analytical, multitasking, and judgment capabilities., • Reliable transportation to access job sites, on occasion, with a valid driver’s license in good standing., • Demonstrate ability to follow direction and work in a collaborative team environment., • Experience with computer aided drafting software such as AutoCAD and Civil 3D. Compensation will range from $70k to $75K, and commensurate with experience. Why Work at AKRF Founded in 1981, AKRF is an award-winning consulting firm with 400 planners, engineers, designers, economists, ecologists, geologists, historians, archaeologists, acousticians, and many other types of professionals guided by the belief that to be original is to be transformative. Professionals join and remain at AKRF for our corporate-casual environment that values flexible work schedules and locations, and balances award-winning projects with social impact initiatives, charitable giving, and plenty of fun and games. We foster a diverse, equitable, and inclusive environment where employees are respected and valued in honor of their identities; we strive to deliver on this promise every day. Our cookie exchanges and ice cream socials are quite the treat. What We Offer We provide employees with a benefit package that reflects our respect for your workplace contributions, professional goals, and personal priorities. The benefits program at AKRF includes: • Medical, Dental, Vision insurance, • Vacation and Sick time, • Flexible work schedules and locations, • 401(k) retirement plan with employer matching, • Additional Voluntary Life Insurance, • Short- and Long-Term Disability, • Stock Ownership, • Tuition Reimbursement, • Training and professional development courses, • Opportunities for community outreach through internal networks, • Charitable donation match AKRF enforces a policy of equal employment opportunity in our daily operations. The firm has a demonstrated history of hiring, training, developing, promoting and retaining minority group members and women. All employment-related decisions are based solely on relevant criteria and without regard to race, color, religion, age, sex, pregnancy, national origin, age, physical or mental disability, marital status, sexual orientation, sexual identity, caregiver status, military/veteran status or citizenship status, or any other characteristic protected by federal, state, or local law.

Job Description Pickle is a rental marketplace. We seek to make fashion more affordable, sustainable, and accessible by enabling people to rent clothes directly from one another right in their city. Our unique peer-to-peer model allows Pickle to have the coolest and freshest fashion out there. And our same-day local courier delivery not only allows our users to find a last minute outfit when they’re “in a Pickle”, but also helps people get access to items at ~80% off the original retail! Check out our app here and our Instagram here! We're seeking a highly technical, high-ownership, and results-driven Senior Fullstack Engineer to help build the Pickle web applications. This role will be pivotal in building features and improving performance in the applications that our customers rely on every day. If you’re passionate about building beautiful and highly performant applications, and love working in fast-paced startup environments, this is a great opportunity to have a significant impact on our business. Responsibilities • Frontend engineering within our mobile (React Native) and web app (React), • Backend engineering within our backend services (AWS Lambda, DynamoDB, GraphQL, RDS), • Drive decisions that influence the product design, application functionality, and technical operations and processes, • Develop high-quality and highly performant production code and review code written by others, • 5+ years of professional work experience as a fullstack engineer, • Proficient in React Native, React, and web technologies, • Proficient in AWS Lambda, DynamoDB, GraphQL, RDS, • Experience working on an engineering team at a start up, • Extensive knowledge of modern web development technologies, frameworks, and architecture, • Collaborative working style with a strong focus on execution and results. Comfortable with a fast paced environmentIdeal Candidate, • Experience building consumer marketplace or e-commerce applications, • A Pickle customer and brand advocate, • Highly resourceful with extreme ownership mindset: “If I don’t do it, no one will”, • Experience working with small teams (<20 person) at Seed stage or Series A startups, • Hands-on experience with A/B testing, and taking initiatives from 0 to 1 to scale - fast, • Ability to multitask and effectively manage competing prioritizes, with exceptional follow-through and attention to detail, • Excellent communication and collaboration skills with a proven ability to influence and drive results across teams, • Competitive compensation and equity, • Healthcare (Medical, Dental, Vision), • Take what you need paid time off, • Meal Pal credits to cover the cost of lunch, • Stipend to help set up your desk and office environment, • Work directly with the founders and executive team, • Professional coaching, training, and development, • Grow with the company, • Pickle credits for our employees, we love when the team uses Pickle!, • Fun team events and company parties, • Company offsites, • Office space in NYC

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Infrastructure Engineer - Crypto - this is a fully remote role for US-based candidates. Join a stellar team of leaders and experts in blockchain technology, cryptography, infrastructure, and security to build the backbone of blockchain wallet infrastructure for the next financial era. We’re hiring a Senior Infrastructure Engineer to design, operate, and scale the systems that power our platform. You’ll work at the intersection of blockchain, cybersecurity, and distributed infrastructure, ensuring our services are reliable, secure, and ready to meet the demands of a trillion-dollar financial industry. This role goes beyond maintaining servers. You’ll architect, automate and secure infrastructure, improve resilience, and embed best-in-class DevOps and SRE practices into our workflows. You’ll collaborate across engineering, product, and security to translate requirements into infrastructure that is scalable, cost-efficient, and secure. Preferred experience Responsibilities * Design, build, and maintain cloud infrastructure with a focus on scalability and security. * Architect and operate containerized and orchestrated systems (Docker, Kubernetes). * Automate provisioning and deployments using Terraform, Jenkins, and CI/CD pipelines. * Implement and maintain observability with Datadog across logs, metrics, and traces. * Optimize performance and reliability of Node.js applications and backend services. * Configure and manage secure enclaves (AWS Nitro) to harden critical workflows. * Partner with product and security to align infra decisions with roadmap and risk strategy. * Document systems, promote knowledge sharing, and support client discussions. Requirements * 8+ years of infrastructure, DevOps, or SRE experience in cloud-native systems. * Strong expertise with AWS (Lambda, EKS, API Gateway, DynamoDB, S3, CloudFormation, CloudWatch); GCP is a plus; IBM and Thales are a plus too. * Skilled in Infrastructure-as-Code (Terraform) and CI/CD automations. * Deep knowledge of Docker, Kubernetes, and containerized microservices. * Experience administering and tuning SQL and NoSQL databases. * Familiar with observability platforms (Datadog, ELK, Prometheus/Grafana). * Solid understanding of infrastructure security and applied cryptography fundamentals. * Proficiency in scripting and systems programming (Python, Go, Rust, or TypeScript). * Clear communication skills, ability to operate under pressure and make sound decisions. * Ideally, experience with blockchain networks and smart contracts. Compensation & Package * Title: Senior Infrastructure Engineer. * Salary: $180,000-260,000 per year (full-time). * Equity: 100-200 stock options vested over 4 years. * Benefits: Healthcare, 401K, and travel expenses. * Location: United States (remote-first, office optional). * Equipment: MacBook Pro + essentials.

Job DescriptionWho we are... At Ecosystem we believe we should be accountable for results. That’s why we've integrated engineering and construction, seeing our projects through from design concept to implementation and commissioning. And that's how we can efficiently solve complex energy and decarbonization challenges in the built environment. Here are some of the projects we've been working on recently: Adelphi University, Brown University and San Diego Padres Stadium. Who you are... We are on the lookout for a dynamic MEP Project Manager, someone who is an expert troubleshooter, who thrives on managing complex construction environments, who can be accountable and dreams of making an impact. What you will do... • Oversee on-site construction operations, managing subcontractors, client, and stakeholders at higher-education facilities., • Drive the success of projects in a versatile, and highly integrated team that works in tandem from design to completion, whilst ensuring safety and quality., • Manage and resolve technical challenges on-site by leveraging your problem-solving skills to achieve project goals in more efficient and cost-effective ways., • Navigate change/scope creep and solve technical challenges on site, always balancing costs, budgets schedules, and people., • Propose, estimate, and present project upgrades to the client., • Understand aspects of energy performance measures before committing to implementation., • Assume responsibility for managing project construction execution, adhering to budget, schedule, and quality standards., • Deliver an exceptional client experience. Your profile..., • 5+ years of construction management/project manager/project engineer experience with recognized leadership in execution., • Experience in HVAC or mechanical construction, • Strong communication (written and verbal), listening, and negotiating skills in English., • Team player with a positive attitude, resilience, and determination., • Quick critical thinking ability under pressure., • Top-notch organizational skills., • Resourceful and excellent judgment. What Ecosystem offers..., • Annual base salaries (approx. $100,000 - $150,000). Base salary is an approximate range and dependent on location and years of relevant experience., • High talent density organization in a rock-solid business environment., • “Ask me anything” approach from ownership and management., • Industry-leading health and safety practices., • Internal technical training and mentorship opportunities., • Team-oriented, collaborative work environment where curiosity and risk-taking are encouraged., • The opportunity to take ownership of results and see projects through from design to implementation., • Focused professional nurturance to help you shape your own career., • Competitive salary reviewed annually., • Paid time off per year: We observe 10 public holidays, we offer a minimum of 15 days of vacation, and 5 personal (sick) days are encouraged to be taken (no justification required). On top of that, we have paid time off between December 25 and January 1 when our offices close for the holiday period for a well-earned break., • A comprehensive compensation and benefits package, including medical, dental, vision, life insurance, long-term disability, and 401K., • 24/7 Employee Assistance Program and telemedicine., • Thriving people-first culture: we put our values in action in DEI, CSR, Innovation, and Social committees. We celebrate our successes together at Ecofest- watch the video here.

Job DescriptionCompany Description Turner & Townsend is a global professional services company with over 22,000 people in more than 60 countries. Working with our clients across real estate, infrastructure, energy and natural resources, we transform together delivering outcomes that improve people’s lives. Working in partnership makes it possible to deliver the world’s most impactful projects and programmes as we turn challenge into opportunity and complexity into success. Our capabilities include programme, project, cost, asset and commercial management, controls and performance, procurement and supply chain, net zero and digital solutions. We are majority-owned by CBRE Group, Inc., the world’s largest commercial real estate services and investment firm, with our partners holding a significant minority interest. Turner & Townsend and CBRE work together to provide clients with the premier programme, project and cost management offering in markets around the world. Job Description Turner & Townsend is seeking an Associate Director of Construction Estimating with deep experience in electric transmission and distribution to join our talented team. The ideal individual will be a good communicator and a team player with a good foundation in cost and estimating. This is a key role for our Electric Transmission Sector and have key client management responsibilities. This is a primarily remote role, with some client site travel required. Responsibilities: • Developing cost plans and estimates from concept through detailed design., • Supporting Client land acquisitions., • Delivering and presenting updated cost plans at appropriate design milestones., • Reviewing proposed design changes/new technologies and preparing estimates within appropriate accuracy levels., • Understanding design stages and estimate levels., • Providing commercial input to design optioneering and input into value engineering exercises., • Preparing cash commit forecasts for the construction life cycle., • Working collaboratively with stakeholders in the preparation of estimates/ cost plans., • Analyzing labor markets and cost drivers such as unions & tax., • Supporting our clients with monthly presentations., • Delivering Life Cycle Costing models., • Benchmarking integration to ensure accurate data capture., • SOX control responsibilities may be part of this role, which are to be adhered to where applicable. Qualifications, • Bachelor’s degree in construction management, cost management, quantity surveying, engineering or field related to construction., • Minimum 10 years of relevant experience in the power & electric transmission industries; experience in US Utilities construction estimating is a must, • Experience working in a construction cost management role such as Estimating, Cost Engineer, Project Engineer, Project Cost Controls etc., • Thrives in a client facing role., • Experience supporting program level cost management for medium or large-scale construction projects., • Good knowledge of construction industry technical matters, such as value management and value engineering., • Strong communication skills. Additional Information The salary range for this full-time role is $160K-$190K per year. Ranges are determined by role and level and represent a good faith effort to provide a fair and equitable salary. This range is a reflection of base salary only, not of a total compensation package. Please note Turner & Townsend reserves the right to pay more or less than the posted range, depending on candidate’s experience and qualifications. *On-site presence and requirements may change depending on our client's needs Our inspired people share our vision and mission. We provide a great place to work, where each person has the opportunity and voice to affect change. We want our people to succeed both in work and life. To support this we promote a healthy, productive and flexible working environment that respects work-life balance. Turner & Townsend is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees and actively encourage applications from all sectors of the community. Please find out more about us at Turner & Townsend does not accept any speculative or unsolicited CV’s that have been sent to our internal recruitment team or hiring managers from agencies outside of our preferred supplier list or that have not followed due process. Any speculative or unsolicited CV’s will be treated as a direct application. All your information will be kept confidential according to EEO guidelines. #LI-LT1 Join our social media conversations for more information about Turner & Townsend and our exciting future projects: Twitter Instagram LinkedIn It is strictly against Turner & Townsend policy for candidates to pay any fee in relation to our recruitment process. No recruitment agency working with Turner & Townsend will ask candidates to pay a fee at any time. Any unsolicited resumes/CVs submitted through our website or to Turner & Townsend personal e-mail accounts, are considered property of Turner & Townsend and are not subject to payment of agency fees. In order to be an authorised Recruitment Agency/Search Firm for Turner & Townsend, there must be a formal written agreement in place and the agency must be invited, by the Recruitment Team, to submit candidates for review.

Job Description A multi-discipline engineering firm with over 70 years in business is looking for a Water/Wastewater Discipline Engineer for their New York City office! Responsibilities: • Use technical knowledge/experience to lead projects, • Manage projects from planning/design to construction of wastewater conveyance systems (pipelines, pump stations storage, and end-of-pipe treatment facilities), • Prepare, review, and approve project drawings, specifications, schedules, and cost estimates, • Lead construction documents/specifications development, • Manage engineering services during construction, • Coordinate project tasks with other disciplines, • Develop medium/large planning and design projects, • Prepare complete construction packages, • Create/manage cost estimates and project schedule, • Complete tasks on schedule and within budget, • Prepare detailed engineering calculations and analysis, • Assist with business development (proposal development/preparation and client management), • Meet/exceed client expectations, • Mentor/train junior staff Requirements: • Bachelor’s degree in civil, environmental, chemical or mechanical engineering or related field of study, • 8+ years of experience in the planning, design, and construction of municipal water/wastewater, • Prior experience in process design, treatment plants upgrades and pump station design, • Experience writing/developing proposals, • Experience utilizing design software to solve complex issues, • PE License, • Strong data analysis and technical problem solving experience Salary is commensurate with experience. Successful applicants must be authorized to work in the USA without sponsorship. All qualified applicants will receive consideration for employment without regard to protected veteran status, disability, race, color, religion, sex, sexual orientation, gender identity, or national origin. Please contact Laura Harrison for further information! 517-906-6926

Job Description The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs. This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users. We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. Our interview process involves several technical interviews and we aim to complete them within 1 week. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You'll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. What We Offer • A dynamic environment where your contributions shape the company and its products., • A team that values innovation, intuition, and drive., • Autonomy, fostering focus and creativity., • The opportunity to have a significant impact in a revolutionary industry., • Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture., • The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more. Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Job Description General Description: The QA Production Engineer/Technician is the primary representative for the Richards Quality Management System on the production floor. This position is the critical link between Engineering and Production. Reports to: QE Manager Responsibilities: • Complete daily process and safety reviews of the production floor for both production shifts., • Provide a constant presence on the shop floor as a direct communication channel between production and engineering., • Support production floor quality initiatives focusing on process consistency and scrap reduction., • Conduct First Article inspections and review with Engineering., • Evaluate process flow to suggest improvements and changes to engineering., • Support implementation for continuous improvements in Safety, Quality, Cost, and Delivery., • Company’s Quality Management System, • Strong communication, interpersonal, and leadership skills., • An innovative and motivational mentality., • Excellent management, decision-making, and problem-solving skills., • Confident and goal-oriented., • Current working knowledge of the industry and the willingness to maintain your knowledge., • The candidate must speak English and Spanish

Job Description Software Engineer (Execution Focused) Strong preference for candidates based in New York City Replica provides data about the built environment and ways people interact with it. With better data, human-context and an intuitive design, Replica helps public and private sectors make informed, effective, and responsive decisions. By showing how people live, move and work, we contextualize hard choices, allowing our clients to see around corners and understand the trade-offs surrounding their decisions. Whether for a city planner increasing public transit to underserved neighborhoods or for a grocery chain evaluating where to open a new location, Replica’s insights lets clients make more informed, people-centered decisions. We spun out of Alphabet in 2019 and recently secured series B funding from venture firms including Founders Fund, Innovation Endeavors, Sidewalk Labs, Firebrand Ventures, and Revolution’s Rise of the Rest Seed Fund. Today, we are a team of 34 employees with offices in San Francisco, New York and Kansas City. We value our customers, believe in being resourceful, and work in service of each other to scale our product. As we build our team, we are committed to pursuing and bringing together a diverse workforce and creating an environment of inclusion. We value our differences and we encourage all to apply. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, Veteran status, or any other status protected by the laws or regulations in the locations where we operate. The Role We’re hiring a Software engineer to focus on developing our react-based web platform. This is a full-stack software engineering role in both front-end and back-end web application development. Responsibilities • Develop and implement functional workflows that enable customers to process and analyze complex urban data, make data-driven decisions, and efficiently manage urban planning operations, • Design, build, and maintain RESTful APIs which use spatial context to efficiently query and aggregate nationwide geospatial and temporal data., • Collaborate across teams to deeply understand users' needs, develop and evolve requirements based on user research, set delivery timelines, and implement and deploy urban data applications at nationwide scale.Work with senior engineers, designers, and product managers to define the team's technical vision and roadmap., • Drive engineering best practices to enable a robust production environment and maintain an effective development velocity., • Achieve uptime requirements and maintain API stability through remote logging and observability tools., • Participate in on-call rotation; investigate and resolve production problems as they arise.Understand the urban data science context to ensure that correct, consistent, and meaningful functionality is delivered to customers.Qualifications, • Education: Bachelor’s degree in Computer Science or equivalent practical experience., • 3+ years of experience as a full-stack engineer., • Experience in web application development using a modern JavaScript client framework., • Bonus - Experience with our tech stack which includes: React, Typescript, Node, Mapbox, Python, Pandas, Postgres, BigQuery, Kubernetes, and Google Cloud Platform., • Comfortable working in a fast-paced environment with shifting priorities, • Able to identify when something is unclear and proactively seek clarification, • We work in the service of others, • We understand that talent + diversity + curiosity + relentlessness wins, • We believe walking > talking, • We operate with thoughtful urgency, • We communicate openly and directly, • We build products people useBenefits, • Our people! We work as a team and are excited to contribute to city planning, • Competitive salary based on experience and potential for impact, • Equity at an early stage startup, • Health benefits including medical, dental, vision, and FSA options, • 401k account + employer safe harbor contribution, • Offices in San Francisco, CA, New York and Kansas City, • Replica is committed to fair and equitable compensation practices., • The base salary range for this position is $120K - $220K. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to relevant qualifications, depth of experience, skill set, certifications, training, education, and specific work location. The compensation packages may be adjusted based on the candidate’s work location, due to differences in the cost of living for the given location. Our position titles may also span multiple career levels., • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions., • To perform this job successfully, an individual must be able to perform each essential function satisfactorily., • The requirements listed are representative of the knowledge, skill and/or ability required., • Ability to operate at both a strategic/conceptual level and at a detailed, operational level metrics driven; highly disciplined, • Must have strong interpersonal skills, maturity and good judgment and be capable of communicating with a diverse range of individuals, • A hands-on, action-oriented approach that fits well with the entrepreneurial, fast-paced culture, • Engaging leadership style that builds and sustains credibility with colleagues, clients and other stakeholders Powered by JazzHR 7njkiRsLA2

Job DescriptionAbout Us: Torch Dental is a rapidly growing start-up whose mission is to improve the lives of healthcare providers by simplifying supply ordering, providing transparent pricing, and modernizing a previously outdated ordering process. Torch is targeting the $100+ billion office-based healthcare supply industry, starting with dental practices. Our innovative e-commerce software platform streamlines healthcare professionals’ procurement process and secures the best prices for products. We are a close‑knit team that enjoys working together every day to solve real‑world problems. We obsess over customer satisfaction, promote a strong bias for action, encourage team members to engage in impactful work, and foster a one team culture. Our goal is to create better solutions to help healthcare professionals succeed, and we are looking for people like you to help bring this vision to life. Your Impact: As a Senior Software Engineer at Torch, you will own the design, deployment, and operation of Torch’s AI systems while also contributing to the backend services that support them. You will ensure our workloads are secure, compliant, and scalable, enabling LLM-powered features for thousands of dental practices, and occasionally writing backend code to integrate and optimize these systems.Responsibilities: • Own the end-to-end AI infrastructure architecture, including cloud deployment, container orchestration, and pipelines, • Build and maintain HIPAA-compliant systems for sensitive healthcare data, • Lead decisions around security, compliance, cost, performance, and scaling of AI workloads, • Implement robust monitoring, alerting, and observability systems for AI pipelines and production models, • Collaborate cross-functionally with engineering, product, and operations teams to integrate AI capabilities into Torch’s platform, • Mentor and guide other engineers on best practices in AI infrastructure, DevOps, and complianceWhat we are looking for:, • 5+ years of experience in software engineering or infrastructure engineering, • Strong experience with cloud platforms (AWS, GCP, Azure) and deploying secure, compliant workloads, • Hands-on experience with containerization and orchestration (Docker, Kubernetes), • Experience designing and managing infrastructure as code to provision, maintain, and scale cloud resources reliably and reproducibly (e.g., Terraform, Pulumi, or similar tools), • Proven experience building production-grade AI/ML infrastructure, including LLM inference pipelines, • Familiarity with HIPAA or other regulated healthcare environments, • Demonstrated record of building scalable, secure, and reliable systems, • Comfortable collaborating with non-engineers, including product managers, designers, and business stakeholdersBonus:, • Experience leading AI infrastructure projects end-to-end in a startup environment, • Contributed to architecture or coding standards for engineering teams, • Experience optimizing AI workloads for performance, cost, or latency, • Experience in early-stage product ideation and design for AI-enabled featureCompensation and Benefits:, • Base Salary: $180K - $220K, • Medical and dental coverage with Aetna, • 401k benefits with Empower, • Unlimited paid time off (PTO), • Maternity and Paternity leave, • Commuter benefits for hybrid employees, • Fully stocked pantry and fridge for hybrid employees

Job Description About ABGi USA Talent Solutions At ABGi USA, our Talent Solutions team is the engine behind exceptional recruiting and HR support for our clients across accounting, finance, engineering, and professional services. We partner with organizations to source top-tier talent, design scalable hiring programs, and provide fractional or project-based HR expertise tailored to their business goals. When you're hired through ABGi USA, you're not just filling a role — you're becoming part of a curated match that supports long-term growth, innovation, and impact. About the Role We’re hiring a Mechanical Engineering Manager on behalf of our client, a well-established engineering firm serving clients across the public and private sectors. This is an exciting opportunity for a licensed mechanical engineer with strong HVAC and plumbing system expertise, a deep understanding of building codes, and a passion for mentoring junior engineers. Key Responsibilities • Lead and perform engineering evaluations, analyses, site inspections, and mechanical system design, • Prepare detailed design drawings, technical specifications, and cost estimates, • Design HVAC, plumbing, and fire protection systems in compliance with NYS Mechanical, Energy, and Plumbing codes, as well as NFPA standards, • Provide technical mentorship to junior staff and act as a subject matter expert, • Support energy modeling and commissioning activities as needed What We’re Looking For • Bachelor’s degree in Mechanical Engineering or Engineering Technology, • NYS PE license required, • 10+ years of experience in mechanical engineering design, • Strong experience with HVAC, chilled/hot water systems, building controls, and plumbing/fire protection systems, • Experience with healthcare, educational, and commercial facilities preferred, • Proficiency in AutoCAD, Revit MEP, and Microsoft Office, • Familiarity with energy modeling tools (HAP, TRACE, or eQUEST) and LEED certification preferred, • Strong communication and leadership skills with the ability to work in a collaborative environment, • Willingness to travel up to 10% within New York State Why Work With Us? • Work with respected companies across the U.S., • Opportunities to grow with our clients or on new projects, • Flexible engagements (full-time, part-time, remote), • Competitive compensation and professional development support Ready to Apply? Submit your resume or reach out to our recruiting team at . We’re excited to get to know you and help match you to your next opportunity!

Job Description About Us Since its foundation in 2007, Info Tran Engineers, P.C. (ITE) has delivered top-tier Engineering Design, Construction Management & Inspection, Traffic and Transportation Engineering, Transit Engineering, and Surveying services throughout the New York Metropolitan Area. We proudly support numerous public infrastructure clients including the Metropolitan Transportation Authority (MTA), New York City Transit (NYCT), Port Authority of New York and New Jersey (PANYNJ), New York State Department of Transportation (NYSDOT), and other regional and municipal agencies. As we continue to expand our portfolio of transit and infrastructure projects, we are seeking an experienced and proactive Sr. Office Engineer for high-profile NYCT assignments. Roles and Responsibilities • Oversee and maintain project record logs (Submittals, Payments, RFIs, Change Orders, submittals, Subcontractor tracking, NCRs, CPM submissions etc.), ensuring they are properly organized and easily accessible to the PMC team and client through A-Site or other project information systems., • Support contract administration, including invoices, change orders, and claims., • Track schedules, monitor contractor progress, and report potential delays., • Assist with budget tracking, cost reports, and payment applications., • Review shop drawings, material submittals, and ensure contract compliance., • Coordinate between design teams, contractors, inspectors, and management., • Provide field support by documenting site conditions and verifying quantities., • Ensure compliance with MTA safety, quality, and regulatory requirements, • Support construction management teams in the field as needed., • Prepare meeting agendas, minutes, and project correspondence., • Bachelor’s degree in engineering, or equivalent., • Minimum 5 years of relevant Office Engineer experience required, • MTA Track Safety Training and OSHA 30 Certificate are a must., • Experience with NYCT (MTA, AMTRAK, LIRR etc.) or similar agencies., • Ability to lead, mentor, and influence diverse project teams., • Excellent communication and analytical skills, with strong reporting capabilities., • Proficiency in A-site and Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).

Job DescriptionSalary: $80,000 - $100,000 Location:Brooklyn/Remote Department: Project Team Reports to: Project Manager Job Summary: My IT Crews clients will require work that falls outside the scope of their standard agreement, often varying in length and complexity. As Project Engineer, you will not only perform professional services based on established policies, procedures, and checklists, but you will also be responsible for designing project work to ensure solutions meet client needs and expectations. You are tasked with upholding best practices, maintaining project integrity, and adhering to budgets and timelines, all while exceeding client expectations. Additionally, youll be accountable for tracking project hours and timelines, identifying tasks that are out of scope and may require change order procedures. Success in this role means consistently delivering projects on time and within budget, and always aiming to surpass client satisfaction benchmarks. Job Responsibilities: Client Onboarding • Lead technical onboarding for new clients, including discovery, documentation, and environment assessments., • Standardize and align client environments with MSP best practices (Active Directory, Azure AD, M365, security baselines, backups, monitoring, etc.)., • Ensure client systems are integrated into ticketing, RMM, and monitoring platforms., • Document and validate environment details in our documentation portal., • Collaborate with AM and Client Success teams to set short- and long-term technical priorities for the new client., • Train client staff on relevant tools, workflows, and best practices., • Design and implement network projects, including upgrades and migrations., • Demonstrate strong technical knowledge of routing, switching, firewalls, VPNs, wireless, and network segmentation., • Assess current environments and identify opportunities for improvement., • Develop detailed migration and upgrade plans aligned with industry best practices., • Oversee all phases of network projectsfrom planning to deployment and post-implementation support., • Ensure solutions are scalable, secure, and meet client requirements. Architectural Design & Review • Service customers by identifying their needs and engineering solutions, alongside the AM., • Provide scopes in a timely manner based on Client Success team priorities., • Evaluate client requirements and design solutions leveraging best-in-class technology., • Prepare detailed project scopes of work (SOW) and cost estimates., • Participate in post-project reviews to improve future proposals., • Develop comprehensive project work plans for all project types, including:, • Phases: Define logical stages of the project., • Tickets & Tasks: Break down deliverables into actionable service tickets and tasks., • Resources: Identify all personnel requirements (on-site engineers, remote resources, vendor coordination)., • Dependencies: Map prerequisites and ensure proper sequencing of tasks., • Checklists: Ensure every step is documented against company standards and client requirements., • Execute projects following approved work plans, checklists, and procedures., • Ensure the delivered solution meets clients business requirements., • Track actual hours vs. budgeted hours and report variances., • Identify and escalate out-of-scope requests requiring change orders., • Maintain clear and accurate project documentation, including ticket notes, diagrams, overall documentation., • Build and enforce standards for client environments based on completed projects., • Track and report on individual and project KPIs, including utilization, error rates, budget adherence, and documentation quality., • Mentor and guide junior engineers during projects., • Lead project teams, including assigning tasks and coordinating onsite resources., • Collaborate with Account Managers, to ensure alignment with client goals., • Provide feedback on recurring problems and process improvement opportunities. What does success look like: Project Engineer KPIs • Billable Utilization: >80%, • Project Error Rate: <3.5%, • Budget Adherence: 90110% of estimated project hours, • On-Time Delivery: 90110% of project timelines, • Documentation Quality: IT Glue score >600, • Work Plan Completion Rate: 100% of projects have a documented work plan (phases, tickets, tasks, resources) prior to kickoff., • Task Assignment Accuracy: 95% of tasks are assigned to the correct resource (onsite vs remote, junior vs senior)., • Dependency Alignment: 95% of work plans correctly capture and sequence dependencies to avoid delays., • Template Utilization: Work plan templates are used and customized for at least 90% of projects, ensuring consistency., • Change Order Capture: Out-of-scope work is identified and documented in the work plan >90% of the time before implementation begins.

Job DescriptionOur mission: to eliminate every barrier to mental health. At Spring Health, we're on a mission to revolutionize mental healthcare by removing every barrier that prevents people from getting the help they need, when they need it. Our clinically validated technology, Precision Mental Healthcare, empowers us to deliver the right care at the right time—whether it's therapy, coaching, medication, or beyond—tailored to each individual's needs. We proudly partner with over 450 companies, from startups to multinational Fortune 500 corporations, as a leading provider of mental health service, providing care for 10 million people. Our clients include brands you use and know like Microsoft, Target, and Delta Airlines, all of whom trust us to deliver best-in-class outcomes for their employees globally. With our innovative platform, we've been able to generate a net positive ROI for employers and we are the only company in our category to earn external validation of net savings for customers. We have raised capital from prominent investors including Generation Investment, Kinnevik, Tiger Global, Northzone, RRE Ventures, and many more. Thanks to their partnership and our latest Series E Funding, our current valuation has reached $3.3 billion. We're just getting started—join us on our journey to make mental healthcare accessible to everyone, everywhere. The Member Experience Engineering team builds the web and mobile experiences that Spring Health members use to access care. We blaze trails with green field innovation, iterate rapidly on feature roadmaps, and optimize the experiences to reduce friction. We are looking for a Senior Software Engineer to join a team responsible for building modern AI powered experiences. You will be a technical leader on the team. Please note that this is a hybrid role based in New York City, with an expectation to be in office 2-3 days a week. Our office is located at 60 Madison Avenue. What you'll be doing: • Integrating emerging AI technologies into the member experience, • Building proprietary developer tools for emerging AI technologies, • Applying your passion for innovation to create experiences never before possible, • Executing quickly and efficiently in a collaborative team setting, • Energetic immersion in emerging AI technologies, • Creative and innovative development of homegrown developer platforms, • On time planned deliveries and high velocity incremental deliveries, • High quality engineering output, in terms of both product and codebase, • Trend of reducing technical debt reduction and improving engineering excellence, • Great productive relationships in engineering and across functions like PM and Design, • At least 5 years experience as a software engineer, • Preferably at least 3 years of experience with Ruby, Rails, React, TypeScript and/or Flutter, • At least 3 years of experience building developer platforms and tool chains, • At least 2 years of experience with modern AI technologies, • Track record of proactive and collaborative leadership style, • Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type., • Employer sponsored 401(k) match of up to 2% for retirement planning, • A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents., • We offer competitive paid time off policies including vacation, sick leave and company holidays., • At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents., • Access to Noom, a weight management program—based in psychology, that's tailored to your unique needs and goals., • Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses., • Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription, • Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care, • Up to $1,000 Professional Development Reimbursement a year. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.