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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 field

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 field

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 field

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 field

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 field

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 field

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 field

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 field

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 field

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 field

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 field

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 field

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 field

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 field

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 field

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 field

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 field

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 field

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 field

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 field

Senior Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $158,600 - $181,000 for Senior Machine Learning Engineer McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior Machine Learning Engineer Richmond, VA: $144,200 - $164,600 for Senior Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. 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 Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $175,800 - $200,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Anytown, IL: $175,800 - $200,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. 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 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).

Education & Experience: Bachelor’s degree in electrical engineering required; Master's degree in electrical engineering or related field a plus; Active Professional Engineering (P. Position Responsibilities: Conduct investigations to determine the origin and cause of failures in electrical systems

AG Consulting Engineering, PC (AG) a design, engineering and construction management firm headquartered in Manhattan is looking for several Electrical Inspectors with NYC Environmental Protection (DEP) experience. POSITION: DEP Electrical Inspector LOCATION: Brooklyn PROJECT: DEP Infrastructure SCOPE: This project includes upgrades at the Paerdegat and Avenue U Pumping Stations to provide reliable, efficient, resilient, sustainable and low maintenance operation in accordance with DEP’s Wastewater Pumping Station Design Guidelines. DEP is responsible for the operation of New York City’s Collection Facilities, which include over 95 Pumping Stations. The failure of Pumping Stations within the wastewater conveyance system can cause the spill of raw sewage into nearby receiving waters. Other potential problems associated with a Pumping Station failure can include: flooding of highway or local streets; flood damage to private property; beach closings; water quality violations; and odors. Because of the potential failures, it is critical that DEP’s Pumping Stations be maintained in a state of good repair REQUIREMENTS – Electrical Inspector is responsible for examining the contractor’s work to ensure the work is being performed in accordance with the contract and shop drawings. The inspector shall prepare daily inspection reports that summarizes contractor staffing, work activities, and production levels sufficient to allow for payment. The inspector must review and maintain T&M records as needed. Ability to communicate effectively, both orally and written. Ability to read and interpret plans and specifications and prepare written daily narratives (work reports), special inspection reports, daily time and material records. Identify potential extra work issues and keep Resident Engineer advised of issues. -Bachelor’s Degree in Electrical Engineering preferred. - Minimum five years of experience inspecting construction work. -Trained in minimum OSHA 30-hour construction safety. A.G. Consulting Engineering, P.C. offers salary commensurate with experience, a comprehensive benefits package which includes medical, dental, PTO days, holidays, disability insurance, life insurance, 401K plan, tuition reimbursement, and more. AG is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

Applied Researcher 1 Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model 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: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I 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 Capital One Careers website. 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 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).

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model 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: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I 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 Capital One Careers website. 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 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).

Applied Researcher II (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model 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: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II 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 Capital One Careers website. 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 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).

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model 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. Sales Territory: $234,000 - $267,000 for Applied Researcher II Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II 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 Capital One Careers website. 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 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).

Applied Researcher I (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model 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: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I 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 Capital One Careers website. 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 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).

Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. 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 building world-class applied science and engineering teams and continue 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 AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model 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: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II 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 Capital One Careers website. 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 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 DescriptionBenefits: • 401(k), • Dental insurance We are seeking a talented Commercia Laundry Mechanic to join our team. The Commercial Laundry Mechanic has overall responsibility for the daily repair and preventative maintenance of industrial textile processing equipment and facility maintenance. The Commercial Laundry Mechanic ensure that tasks such as start-up and shut-down procedures, electrical troubleshooting, maintaining and operating boilers, welding and cutting, hydraulics, pneumatics, mechanical, or other systems are completed according to policies and procedures. As well as completing daily production workload in a timely manner, consistently providing quality standards in all areas of laundry operations. Duties include but are not limited to: • Maintain, service, and repair all models of commercial laundry equipment including but not limited to washers, driers, ironers, boilers, extractors, presses, stackers, and other machinery used., • Troubleshoot electrical, mechanical, and plumbing, issues and rebuild pumps, valves, regulators as needed while utilizing an excellent understanding of steam/thermal systems., • Diagnoses problems, replaces or repairs parts, tests and makes adjustments., • Inspect, maintain, repair, and service water treatment plant machinery and equipment, including pumps, valves, valve actuators, motors, engines, meters, drives, tanks, reservoirs, compressors, chemical feed and storage systems, UV disinfection systems, heating and air conditioning systems, and other equipment typical of a water treatment facility., • Install and rebuild pumps, motors, piping systems, and specialized water treatment equipment., • Fabricate parts and equipment; operate welding, cutting, and general fabrication equipment., • Pack, lubricate, clean, and paint mechanical equipment and motors., • Inspect newly installed mechanical equipment to ensure safe and satisfactory operation and functionality., • Ensures work is performed safely and efficiently., • Read and interpret technical operation and repair manuals., • Effectively participate with preventive maintenance schedule on all laundry equipment., • Establish an organized laundry inventory system for purchasing of all parts & materials., • Provide technical training to the laundry team. Maintain a constant awareness of safety problems and report unsafe conditions and exposures to laundry manager., • Must understand and adhere to all safety procedures., • Effectively manage daily maintenance requests to minimize equipment down-time and continually improve operational processes., • Strictly adhering to all safety rules, policies and procedures required by Alsco, law, and what is recognized as common practice in the industry., • Keep accurate and timely records of maintenance performed., • Follow written and verbal instructions and perform other tasks as directed by supervision., • Interact with all colleagues in a professional manner, • Comply with all Federal, State and local laws., • Working on boiler and fan systems, • Maintaining logs, records and reports of serviced equipment, • Qualifications:, • Minimum of 3 years hands on experience in a laundry maintenance or similar operation, • Must be able to maintain high levels of confidence., • Maintain a working knowledge of policies and procedures and their proper application., • Minimum of five years maintenance engineering experience with specific knowledge of machinery, electricity, electronics, plumbing, hydraulics, pneumatics, welder and boiler applications., • Quantifiable working knowledge of Weishi systems, dyers, folders, sorting, binding, etc. equipment preferred, • Ability to troubleshoot issues in a timely manner, • Ability to shift priorities and changing demands, • OSHA compliance, • Must be able to stand for long periods of time; able to bend, stretch reach and stoop on a continual basis Typical Physical Activity Standing, sitting, walking, stooping, driving a forklift, working on ladder, being in elevated height to perform work, grasping, moving equipment, pushing, pulling, moving loaded carts weighing up to 500 lbs, reading, speaking, hearing, and lifting up to 60 lbs. Occasionally stoop, bend, kneel, crouch, crawl, reach, and twist; push, pull, lift, and/or carry moderate to moderately heavy amounts of weights; operate assigned equipment and vehicles; ability to verbally communicate to exchange information. Typical Environmental Conditions Inside and outside areas of a typical industrial laundry facility, which includes working with and around large machinery, variations in temperature, noise, odors, humidity, lint and dust, in general offices or on outside grounds. Water treatment plant and field environment; exposure to noise, dust, grease, fumes, gases, potentially hazardous chemicals, electrical energy, and inclement weather conditions, including hot, cold, wet, and/or humid conditions; work around water; work on slippery, uneven, surfaces; work in confined spaces; routinely climb ladders, stairs; regularly work near moving mechanical parts; and work around moderately loud noise levels; incumbents must be available to work variable shifts, including evenings, nights, weekends and holidays.

Job Description Hotel Maintenance Technician (Line Engineer) Pay Rate : $20-$22/hr SUMMARY: Keep all equipment in good repair with a minimum of downtime by providing day-to-day maintenance of the hotel under the direction of Engineering Management. Continually work towards and support the improvement of engineering service to both guests and associates. RESPONSIBILITIES: • Report to work on time and in full uniform., • Train and instruct other members of the staff through sharing of knowledge and skills., • Operate as an independent mechanic by analyzing problems, identifying courses of action, and implementing solutions with available resources and to a high degree of quality., • Keep accurate completion and task records in the project files. Set an example of continuous self-development., • Plunging toilets, unclogging drains, repairing all types of hardware, plumbing, and electrical equipment including lamps, air conditioners and cosmetic items., • Clean, lubricate, protect, and otherwise maintain all tools and equipment in the hotel. See that all tools used are returned to the shop and secured in proper storage area., • To protect and otherwise maintain your assigned tool pouch and its tools at the discretion of the Engineering Management., • Monitor systems as necessary, to be fully informed of the system operation and to handle emergencies involving the systems., • Have a working knowledge of fire sprinkler and emergency power systems. Observe and analyze energy and utilities usage in the hotel and on the grounds., • Look for ways to conserve energy and report any ideas to the Engineering Management., • Be available for any emergencies and act in an engineering capacity to protect our guests and associates, and preserve the building and its systems during the emergency., • To act as quickly and responsibly as possible to return the building to its normal operating status. To inform Engineering Management of any such emergencies., • Be aware of all existing departmental Job Safety Analysis and to strive to work in an accident-free manner and to create a safe work environment for others., • Continuously look for conditions which may endanger associates or guests of the hotel and to take immediate action to correct any hazardous conditions found., • Read, log, track, and interpret readings from meters, gauges, and other measuring units., • Maintain a thorough log of each day’s activities and problems that occur and to ensure this information is passed on to other shifts., • Clean all engineering areas as directed by Engineering Management., • Work in a neat and efficient manner, keeping work areas clean and well organized., • Serve as otherwise directed or needed to help maintain the effective and efficient operation of the hotel at the discretion of Engineering Management or the hotel General Manager., • Complete all work assigned in a safe and professional manner. Maintain communications with supervisors to ensure that all needed materials, tools, and supplies are available or on order., • Follow up on any items that may be on back order. Keep supervisor updated on assignments., • Provide training and technical advice to other engineers as needed or requested., • Maintains a working knowledge of all federal, state, and local laws, codes, and regulations., • Maintains a professional image at all times., • Maintains the hotel facility and related equipment in a safe and efficient manner., • Provides for a safe work environment by following all safety and security procedures and rules., • Reads, learns, understands, and refers to the Standard Operating Procedures., • Each associate will be required to follow the rules as found in the M&R Employee Handbook. Performs other duties as assigned by management, of which employee is capable of performing

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is seeking experienced, highly motivated magnet engineers to join its rapidly growing team. The magnet engineering roles will design, build, and test high temperature superconducting (“HTS”) magnets. HTS magnets are foundational components of Thea Energy’s planar coil stellarator, making compact, simpler, and lower-cost fusion systems possible. As part of a rapidly growing team, you’ll be part of the organizational build-up of a leading fusion energy company. These roles will have a high degree of autonomy and must be able to move quickly. The Thea Energy team is comprised of self-motivated, creative, and fun individuals with an excitement for solving complex problems.Key Responsibility Areas: • Rapidly design, build, and test HTS magnets, • Develop specifications for magnets based on system design and performance goals, • Optimize magnet design and run analysis using Multiphysics simulation software (e.g. Ansys EM, Structure, COMSOL, etc.), • Develop design tools, data analysis software, and algorithms using Python or similar, • Incorporate design for manufacturing principles and support first builds, • Produce design specifications and collaborate with vendors to get quotes and deliver hardware that meets qualifications, • Support the implementation of tooling and manufacturing, • Design and execute magnet testing, • Track and report results and progress against program goals and milestones, • Communicate and collaborate with internal and external stakeholdersIdeal Experience & Skillsets:, • Experience with magnets, cryogenics, vacuum systems, or transformer design, • Experience in design using CAD software (e.g. Solidworks, CATIA, NX, etc.), • Experience with Ansys and/or COMSOL, • Experience specifying machining, welding, and fabrication requirements, • Ability to work through and solve highly multidisciplinary engineering problems, • Ability to take initiative, work independently and as part of a team, • Ability to execute and flourish in a fast-paced, rapidly changing environment, • Comfortable working to aggressive deadlines, • Exceptional work ethic, • Strong team member with clear communication and collaboration skills, • Innate desire to learn, innovate, and critique ideas including one’s own, • At least a bachelor’s degree in physics, computer science, electrical engineering, mechanical engineering, materials engineering, or related fields, • Experience with magnetic confinement fusion, aerospace, medical devices, or other highly technical industries is idealCompany Benefits:, • Salary range $85,000-$150,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job DescriptionMunich Airport NJ LLC is an US-based subsidiary of the German Airport Operator Munich Airport. Munich Airport NJ LLC is responsible for the maintenance and concession management of Terminal A at Newark Liberty International Airport (EWR)! We are looking for a Maintenance Planner/Coordinator to join our team as soon as possible. As a Maintenance Planner/Coordinator, you will be a part of a dynamic team, helping to enhance travelers’ journeys by providing best-in-class airport services and elevating travel experiences beyond expectations. The Facilities Maintenance Planner/Coordinator is a key role within the Facilities Management team to support all physical infrastructure activities within Terminal Operators responsibility. The planner will be the primary point of contact for both internal and external customers and will provide the necessary daily support to the FM team and contractors. This role will also be responsible for operational control of key Building systems that will monitor both the Health and Performance of critical Terminal Assets. You will be part of a quickly growing team, helping not only to create an attractive passenger terminal, but also to develop the Terminal Operator company with your expertise and personality. Your Future Responsibilities * Ensures that all schedules and work orders for Planned Maintenance are in place and stakeholders are informed * Monitors execution, receives reports on executed PM Work Orders and validates that information is logged into the CMMS system (Maximo) * Ensures events/incidents are logged into the CMMS system, attended to and resolved as per SLAs, using the standard work order and event/incident management procedures * Informs and collaborates if there is an event needing other stakeholders’ involvement * Informs and puts measures in place for any alerts received by a Facility Maintenance system * Monitors and oversees that planned and ad-hoc inspections are taking place * Monitors all KPIs and SLAs for compliance * Monitors subcontractors’ performance on planned maintenance and event management and coordinate with respective management * Issues shift/daily reports as required * Contributes to reporting & analysis to identify trends, suggest condition-based maintenance actions and enhances the ITOCC Operation * Assists technicians in locating parts, supplies, and materials * Confirms that all required documentation related to Work Order Execution is maintained accordingly * Acts as first resolution provider wherever possible * Monitors Building Management System(s) status and takes appropriate action to address any received faults through management of Corrective Work Order * Shift work required (16 x 7) Your Education & Training * Bachelor's degree in electrical or mechanical engineering and 5 years in Facilities Management and Maintenance; or technical associate degree and 10 years in Facilities Management and Maintenance * 2 years of experience within the aviation sector within the Facilities Maintenance Organization preferred * Prior knowledge of CMMS system such as Maximo and Building Management Systems Your Skills & Experience * Excellent Organizational skills * Excellent Verbal and Written Communication skills * Exceptional attention to detail, and talent for accuracy and precision * Excellent Customer Service Skills * Ability to work in a fast-paced environment and multitask * Ability to use tact and diplomacy while dealing with others under difficult circumstances * Ability to adapt to changing conditions and make decisions accordingly * Excellent analytical skills to review and interpret data * Team player who works jointly towards a common goal and vision and contributes to the team both professionally and personally. * Ability to work without direct supervision, taking responsibility and ownership of assigned tasks * Ability to establish and maintain effective and professional working relationships at multiple project levels ranging from tradespeople to executives * Experience in a large, complex airport environment is an asset * Is eager for feedback and to learn and grow in a fast-paced, mission-driven environment. * Possesses a strong sense of integrity, openness, fairness, and transparency. Good reasons why you should become part of the airport family * Be part of a team who embraces diversity, fosters collaboration, practices mentorship, and believes in a positive, healthy work climate. * Help Munich Airport, Europe’s only 5-star Airport, build its reputation in the US. * An international working environment. * Attractive benefit package; Health, Vision, Dental, 401(k) Matching, LTD/STD, PTO. The base salary range for this role is $33 to $36 per hour. You will learn a wealth of information about the aviation industry and airport operations while here, and if this temporary/seasonal position goes full-time, additional benefits such as medical, dental, vision, and 401(k) will be offered! Total compensation, including base salary to be offered, will depend on elements unique to each candidate, including candidate experience, skills, education and other factors permitted by law. Munich Airport US Holding and it's subdivision Munich Airport NJ LLC are equal opportunity employers. Powered by JazzHR FERbEdmkGZ

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Technician (GMT) in a stationary role, you will be a part of Delta’s Ground Support Equipment team. A GMT (Stationary) specializes in completing repairs and utilizes preventive maintenance on motors and controls, Programmable Logic Controllers (PLC), pneumatic systems, conveyor systems, and machine shop equipment. The ideal candidate is proficient in the use of diagrams, sketches, operations manuals, manufacturer's instructions, and engineering specifications to resolve malfunctions and maintain equipment. Summary of responsibilities: • Locates sources of problems by observing mechanical devices in operation and repair with precision measuring and testing instruments., • Determines changes in dimensional requirements of parts by inspecting used parts and using rulers, calipers, micrometers, and other measuring instruments., • Ensures the proper functioning of mechanical, electro-mechanical, and electronic equipment by troubleshooting, repairing, maintaining, and calibrating industrial equipment and test equipment throughout Stationary GSE in accordance with approved manuals and procedures., • Maintains equipment, parts, and supplies inventories by checking stock to log inventory levels; anticipating need; placing and expediting orders; and verifying receipt., • Electrical/Relay knowledge: Understanding and proficiency in repairing 12 to 50 VAC/DC control circuits, 120 VAC single-phase electrical circuits and control circuits, 480 VAC 3-phase electrical systems., • PLC Controls/Network: Proficiency and knowledge of repairing PLC and the associated computer network systems. Allen Bradly PLCS, SLC 500, SLC 5000 and Micro Logix systems., • Industrial Maintenance/Conveyor Systems/Passenger Loading Bridges (PLB): Knowledge of system operations for PLB, system operation for conveyor systems and heavy equipment maintenance on hydraulics/electrical/mechanical on large industrial machinery., • Industrial A/C refrigeration: Knowledge of high-pressure point-of-use pre-condition air systems, low-pressure glycol chiller systems, and repair and isolate system failures, as well as the related software for both high- and low-pressure control circuits systems. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. What you need to succeed (minimum qualifications) • Consistently prioritizes safety and security of self, others, and personal data., • Embrace diverse people, thinking, and styles., • Possesses a high school diploma, GED, or high school equivalency., • Is at least 18 years of age and has authorization to work in the United States., • Must have a valid driver's license., • Must be proficient in English., • Ability to lift items weighing between 50 and 70 pounds., • Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays., • Completion of a two-year degree at a post-secondary technical school or have a minimum of three years of demonstrated ability., • A detailed understanding of mechanical, electrical, hydraulic, and pneumatic subject areas., • Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics., • Strong communication while working as a team and coordinating repairs with other GMTs and outside vendors., • Competitive salary, industry-leading profit sharing program, and performance incentives., • 401(k) with generous company contributions up to 9%., • New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31)., • In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period., • LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program., • 10 paid holidays per calendar year., • Birthing parents are eligible for 12-weeks of paid maternity/parental leave., • Non-birthing parents are eligible for 2-weeks of paid parental leave., • Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits., • Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages., • Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health., • Domestic and International space-available flight privileges for employees and eligible family members., • Career development programs to achieve your long-term career goals., • World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint., • Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies., • Recognition rewards and awards through the platform Unstoppable Together., • Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

How you'll help us Keep Climbing (overview & key responsibilities) At Delta Air Lines, connection is at the heart of everything we do and guides our every action. We strive to welcome and care for all of our customers during their travels with us and aim to deliver an elevated experience. As a Ground Maintenance Technician (GMT) in a stationary role, you will be a part of Delta’s Ground Support Equipment team. A GMT (Stationary) specializes in completing repairs and utilizes preventive maintenance on motors and controls, Programmable Logic Controllers (PLC), pneumatic systems, conveyor systems, and machine shop equipment. The ideal candidate is proficient in the use of diagrams, sketches, operations manuals, manufacturer's instructions, and engineering specifications to resolve malfunctions and maintain equipment. Summary of responsibilities: • Locates sources of problems by observing mechanical devices in operation and repair with precision measuring and testing instruments., • Determines changes in dimensional requirements of parts by inspecting used parts and using rulers, calipers, micrometers, and other measuring instruments., • Ensures the proper functioning of mechanical, electro-mechanical, and electronic equipment by troubleshooting, repairing, maintaining, and calibrating industrial equipment and test equipment throughout Stationary GSE in accordance with approved manuals and procedures., • Maintains equipment, parts, and supplies inventories by checking stock to log inventory levels; anticipating need; placing and expediting orders; and verifying receipt. Qualified candidates must also possess at least one of the following: • Electrical/Relay knowledge: Understanding and proficiency in repairing 12 to 50 VAC/DC control circuits, 120 VAC single-phase electrical circuits and control circuits, 480 VAC 3-phase electrical systems., • PLC Controls/Network: Proficiency and knowledge of repairing PLC and the associated computer network systems. Allen Bradly PLCS, SLC 500, SLC 5000 and Micro Logix systems., • Industrial Maintenance/Conveyor Systems/Passenger Loading Bridges (PLB): Knowledge of system operations for PLB, system operation for conveyor systems and heavy equipment maintenance on hydraulics/electrical/mechanical on large industrial machinery., • Industrial A/C refrigeration: Knowledge of high-pressure point-of-use pre-condition air systems, low-pressure glycol chiller systems, and repair and isolate system failures, as well as the related software for both high- and low-pressure control circuits systems. Internal Movement Eligibility Internal Employees: Before applying for this position, please reference the company's Internal Mobility Policy and Residency Policy to ensure you meet all eligibility requirements. You must be in good standing, which includes meeting performance standards and tenure requirements in your current role. For more information, visit the HR portal or contact your manager or HR representative. Compliance with these policies is mandatory for consideration. What you need to succeed (minimum qualifications) • Consistently prioritizes safety and security of self, others, and personal data., • Embrace diverse people, thinking, and styles., • Possesses a high school diploma, GED, or high school equivalency., • Is at least 18 years of age and has authorization to work in the United States., • Must have a valid driver's license., • Must be proficient in English., • Ability to lift items weighing between 50 and 70 pounds., • Be willing to work a fixed and/or rotating schedule including afternoons, evenings, weekends, and holidays., • Completion of a two-year degree at a post-secondary technical school or have a minimum of three years of demonstrated ability., • A detailed understanding of mechanical, electrical, hydraulic, and pneumatic subject areas., • Ability to read, comprehend, and apply information found in technical documents, manuals, and schematics., • Strong communication while working as a team and coordinating repairs with other GMTs and outside vendors., • Competitive salary, industry-leading profit sharing program, and performance incentives., • 401(k) with generous company contributions up to 9%., • New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 – March 31)., • In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period., • LGA/JFK employees may be reimbursed up to $250/month for specific transportation expenses through the NYC Transit Reimbursement Program., • 10 paid holidays per calendar year., • Birthing parents are eligible for 12-weeks of paid maternity/parental leave., • Non-birthing parents are eligible for 2-weeks of paid parental leave., • Comprehensive health benefits including medical, dental, vision, short/long term disability and life insurance benefits., • Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages., • Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health., • Domestic and International space-available flight privileges for employees and eligible family members., • Career development programs to achieve your long-term career goals., • World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint., • Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies., • Recognition rewards and awards through the platform Unstoppable Together., • Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare.

Job Description EAM-Mosca Corp., Hazle Township PA, a dynamic market leader in the area of end-of-line automated packaging machinery and consumable strapping solutions, is seeking a driven Field Service Technician for the Newark, NJ region. EAM-Mosca is privately held and retains a unique, focused, entrepreneurial culture. EAM-Mosca also enjoys a blue-chip client base of highly successful North and South American manufacturing companies and has a portfolio of products applicable to a variety of end-use markets. The key to the ongoing success of the business is a system-based product portfolio featuring standard as well as custom engineered packaging machinery solutions and a superior consumable packaging product, complimented by quality technical service and readily available aftersales parts support. The ideal candidate will have a wide range of responsibilities including maintenance, repair, and calibration of field equipment. The successful candidate will be a problem solver who is responsive to customers' needs. The Field service techs responsibilities include: • Install, Commission, equipment in a manner that ensures reliability and high customer satisfaction., • Perform preventative maintenance, Predictive Maintenance, Emergency repair on all EAM equipment., • Troubleshoot mechanical and electrical systems utilizing systematic thinking while employing test equipment and hand tools to discover faults and develop plans to report, plan and execute the planned solution., • Ability to work closely with Mosca Engineering to provide the highest level of customer service., • Generate service reports that explain the work provided, parts provided and clear understanding of the issue, the solution, and any follow up needed. All done in a timely and professional manner., • Communicate daily with the area service managers and develop schedules and travel itineraries that meet the needs of our customers and provide ample time to preform the work requested., • Advance understanding of machines and their systems to include but not limited to pneumatic, hydraulic, bearings, levers, channels, pulleys, cams, and camshafts, • Basic experience with Control systems utilizing Allen Bradley, Siemens and B&R PLC’s, • Electromechanical experience with conveyance systems, understanding sensors, electric motors and how they interact., • Able to use a multimeter, perform point to point, read electrical schematics and trace, • Able to use and read Calipers micrometers., • Able to take initiative and work independently on a regular basis, • Able to communicate clearly and professionally through both written and verbal medias: Web based service reporting, Video conferencing and face to face interactions., • Able to travel extensively within the U.S. Monday thru Friday. (80%) Team, Training and Support • In-house training with continuous on the job field training with senior field staff, • Company car, • Corporate expense account / credit card, • Company laptop and cell phone, • All required Personal Safety Equipment, • Company logoed clothing, • All supporting parts inventory needed for equipment maintenance, • Company supplied tools Experience and education • Minimum 3 years of field or plant equipment maintenance experience., • Corrugated Industry experience a plus, • Mechanical understanding of strapping machines, Mosca preferred, • High school diploma, • A valid driver's license, • Solid Mechanical / Electrical background, • PLC experience preferred, • Associates Degree a plus Excellent Pay and Benefits package • Medical, Dental and Vision benefits, • 401(k) retirement savings program, • Paid vacation and holidays, • Life Insurance, • Employee assistance programs EAM-Mosca is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Powered by JazzHR hETBJmFbMt

Job Description Overview Invictus Energy Solutions is a leader in next-generation energy efficiency and building optimization projects. We help commercial clients reduce operating costs and carbon footprint through intelligent HVAC, building automation, and energy management technologies. We are seeking a Regional Installation Manager with strong HVAC Controls experience to oversee and support installations of advanced energy-saving systems throughout the Northeast. This role blends technical HVAC controls expertise with project management leadership, offering an opportunity to make a real impact in the transition toward smarter, more sustainable buildings. Key Responsibilities • Oversee installation and commissioning of HVAC control systems, energy management systems (EMS/BAS), and related energy efficiency measures., • Manage subcontractors, project schedules, and budgets to ensure high-quality, on-time installations., • Work closely with controls engineers, electricians, and mechanical contractors to coordinate system integration and verify performance., • Collaborate with clients and internal teams to ensure seamless project execution and technical communication., • Support troubleshooting and optimization of control sequences, communication networks, and field devices., • Conduct quality checks, pre- and post-inspections, and ensure compliance with safety and commissioning standards., • Develop installation protocols, process improvements, and documentation for repeatable success. Required: • Bachelor’s degree in Mechanical, Electrical, or Controls Engineering, Construction Management, or related field — or equivalent field experience., • 3+ years of experience managing installation projects involving HVAC systems, BAS, or controls integration., • Solid understanding of HVAC sequences of operation, low-voltage wiring, sensors, and control systems., • Proven leadership and coordination skills working with multi-trade installation teams., • Proficiency in project management tools (MS Project, Smartsheet, etc.) and familiarity with BAS platforms (Niagara, Siemens, Johnson Controls, Distech, etc.)., • Strong communication and problem-solving abilities in fast-paced project environments., • Master’s degree in Engineering, Project Management, or Business Administration., • Professional certifications (PMP, CEM, LEED AP, or equivalent)., • Competitive compensation., • Growth opportunities in a rapidly expanding company at the forefront of building technology innovation., • Work with cutting-edge controls, IoT, and energy management technologies., • Collaborative, mission-driven environment focused on sustainability and technical excellence.Company DescriptionJoin Invictus Energy Solutions and help lead the transformation of building energy systems. If you’re passionate about HVAC controls, smart buildings, and hands-on project leadership, we’d love to hear from you.Join Invictus Energy Solutions and help lead the transformation of building energy systems. If you’re passionate about HVAC controls, smart buildings, and hands-on project leadership, we’d love to hear from you.

Job DescriptionDescription: KSE is a mid-size construction management and engineering firm ranking in the ENR Top 100 for CM and ENR Top 500 for design services. With seven offices across four states (NY, NJ, PA and CT), the firm has been providing transportation and public infrastructure construction services for more than three and half decades. KSE offers a full range of employee benefits, including medical, dental and vision insurances, a 401(k) plan, paid time off, Flexible Spending Accounts (FSAs), long- and short-term disabilities, and term life insurance. KSE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Position: Geotechnical Field Engineer Reports: Geotechnical Manager Technical Responsibilities: • Perform geotechnical field investigations, explorations, geologic reconnaissance, and site mapping., • Prepare geotechnical field boring logs, soil and rock sampling, and field permeability testing., • Support geotechnical laboratory testing and analysis., • Perform basic engineering calculations, data interpretation, and technical analysis., • Assist in preparing geotechnical reports and project documentation., • Coordinate with subcontractors in the field to complete scope-of-work activities., • Travel to field assignments throughout NJ, NY, PA, and CT; occasional overnight stays may be required., • 0 to 3 years of experience as a Geotechnical Field Engineer., • Bachelor’s degree in civil engineering, Geotechnical Engineering, Geology, or a related field, • Green Infrastructure project experience and permeability testing is a plus, • Previous internship experience a plus., • Engineer-in-Training (EIT) certification – plus., • OSHA 10-hr or 40-hr HAZWOPER training – plus., • Experience with RSLog or gINT– plus., • Previous internship or field experience in geotechnical engineering – plus., • Ability to work independently and as part of a team., • Reliable transportation to travel between job sites and office/lab (mileage, tolls & parking reimbursed). Physical & Work Environment Requirements: • Ability to sit, stand, walk, climb, kneel, crouch, crawl, grasp, reach, push/pull, and perform repetitive motions as needed for field tasks., • Frequently lift and/or move up to 35 lbs. occasionally up to 75 lbs., • Visual acuity required for data analysis, computer use, reading, and site inspections., • Outdoor work performed 50–90% of the time, often on uneven terrain and in varying weather conditions., • Exposure to outdoor elements including insects, plants, animals, and environmental temperatures typical of the region., • Occasional exposure to hazards such as moving mechanical parts, vehicles, electrical systems, heights, scaffolding, or chemicals., • Daily travel ranging from 1 to 3 hours depending on project location; overnight travel may be required. Schedule: • Sites may require commute as long as 1 hour to 3 hours of driving. Sometimes overnight stay for the duration of the project., • The field inspections/visits are dictated by construction schedules and could include early morning or late evening timing at the project site., • Ability and willingness to work alternate hours, to include overnight hours as required by the project specific requirements., • The employee is subject to both inside and outside environmental and climate conditions, • The employee is expected to perform approximately 50 to 90 percent of their work week outdoors with the remaining time in the office. Outdoor work frequently includes walking on uneven surfaces in all types of weather conditions and may have exposure to animals, insects, plants, etc., • The employee is subject to hazards such as proximity to moving mechanical parts, moving vehicles, electrical current, working on scaffolding and high places, exposure to various heat/cold temperatures typical of the region or exposure to chemicals., • Must have a reliable form of transportation to travel between job sites and the office/lab with equipment and/or samples. Miles, tolls, and parking reimbursed. What We Offer: • In-house Safety Training and free PPE to field staff., • Dedicated mentorship program., • Learning and Development initiatives., • Purpose driven opportunity to work on exciting infrastructure and sustainability projects building America., • Inclusive culture celebrating diversity., • Health Insurance Benefits with HSA option., • Disability, Life Insurance, and 401K Retirement Accounts., • Paid Vacation and Sick Time, Paid Holidays., • Tuition Reimbursement., • Career Advancements., • Company Holiday Party, Company Summer Outings, Friday Breakfast, Monthly Heritage Celebration Lunch, Lunch & Learn Programs. Pay Transparency: Base salary is $55,000 to $70,000 per year. Base salary is only one part of KS Engineers total compensation, which includes an annual discretionary bonus. KS Engineers, P.C. is an EOE/AA/VEV/Disabled Employer. KSE will not discriminate based on race, color, religion, creed, sex, national origin, marital status, age, disability, veteran status, citizenship status, or other status protected by law.

Required Qualifications** - At least 3 years of full-time experience in machine learning model development - Technical degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field - Demonstrated competitive machine learning experience (Kaggle, DrivenData, or eq

Job Description Job Summary: The service technician is responsible for all aspects of service, repair, installation and maintenance of production and laboratory furnaces. This role requires delivering exceptional technical support, maintaining equipment reliability, and providing outstanding customer service to end users in manufacturing, research, and laboratory environments. Duties/Responsibilities: · Supervise and coordinate activities of service technicians performing installation, calibration, troubleshooting, and maintenance of high-temperature industrial and laboratory furnaces, including going on service calls themselves. · Manage service schedules, field assignments, and customer site visits to ensure timely response and completion of work orders. · Provide advanced technical support to resolve complex electrical and mechanical issues, both on the phone and in person. · Develop and implement preventive maintenance programs and standard service procedures. · Train and mentor service staff on equipment operation, diagnostics, safety, and customer interaction. · Coordinate with engineering, production, and quality teams to communicate field issues and recommend product or design improvements. · Ensure compliance with all safety, environmental, and company policies. · Support customer relationships by providing professional communication, technical guidance, and post-service follow-up. Required Skills/Abilities: · Associate or Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Industrial Technology, or related field (or equivalent experience). · 5+ years of hands-on experience servicing machinery; 2+ years in a supervisory or managerial capacity preferred. · Strong understanding of furnace controls, thermocouples, PID controllers, PLCs, and gas/electrical heating systems. · Proficient in reading electrical and mechanical schematics. · Excellent leadership, organizational, and communication skills. · Ability to manage multiple projects and prioritize tasks effectively. · Willingness to travel to customer sites (domestic and international) as required. · Experience with Netsuite or similar ERP system. · Ability to function well in a fast paced and sometimes stressful environment. · Proficient with Microsoft Office software. Education and Experience: · Associate or Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Industrial Technology, or related field (or equivalent experience). · 5+ years of hands-on experience servicing machinery; 2+ years in a supervisory or managerial capacity preferred. Physical Requirements: · Prolonged periods of sitting at a desk and working on a computer. · Must be able to lift up to 30 pounds at times.

Job Description Northern Wolves Inc is seeking a skilled HVAC Controls Technician to join our innovative team! In this exciting role, you will be responsible for the installation, programming, and troubleshooting of sophisticated HVAC control systems that optimize energy efficiency and enhance comfort in residential and commercial buildings. As an HVAC Controls Technician, you will work closely with project managers and engineers to ensure that HVAC systems are equipped with state-of-the-art control technologies, allowing for seamless operation and monitoring. Your expertise will be critical in assessing system performance and implementing solutions to improve overall functionality. If you have a passion for technology and HVAC systems, and you thrive in a fast-paced environment, we want to hear from you! Responsibilities • Install and configure HVAC control systems, including building automation systems and smart thermostats., • Program and optimize control sequences to ensure efficient operation of HVAC systems., • Troubleshoot and diagnose issues with HVAC controls and related equipment., • Conduct routine maintenance and inspections on control systems to ensure reliability., • Collaborate with team members to integrate control systems with other building systems., • Provide technical support and training to HVAC technicians and clients on control system operations., • Associate’s or Bachelor’s degree in HVAC Technology, Electrical Engineering, or a related field., • Minimum of 5 years of experience in HVAC controls or automation., • Strong understanding of HVAC principles and control systems., • Experience with programming languages (e.g., BACnet, Modbus, LON) and control system software., • Excellent problem-solving and analytical skills., • Strong communication skills to convey technical information to clients and team members., • Ability to work independently and manage multiple projects effectively., • Paid Time Off (Vacation, Sick & Public Holidays), • Family Leave (Maternity, Paternity), • Sign-on bonus

Job DescriptionCompany Description We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch • Reinvent yourself: At Bosch, you will evolve., • Discover new directions: At Bosch, you will find your place., • Balance your life: At Bosch, your job matches your lifestyle., • Celebrate success: At Bosch, we celebrate you., • Be yourself: At Bosch, we value values., • Shape tomorrow: At Bosch, you change lives.Job Description The HVAC Trainer is responsible for developing and delivering technical and sales training programs across a wide range of audiences, including contractors, installers, sales representatives, distributors, and engineers. Training will cover HVAC systems with an emphasis on air-source heat pumps and their applications in residential and light commercial markets, including rooftop equipment. This role combines classroom instruction, hands-on field demonstrations, and digital learning delivery to build competency in installation, commissioning, troubleshooting, and system performance optimization. The Trainer will collaborate closely with Sales, Product Management, and Quality teams to ensure training content reflects real-world needs, regulatory requirements, and evolving industry trends such as electrification and energy efficiency. The Trainer is accountable for ensuring participants leave training sessions with practical skills, while also serving as a key partner to distributors and contractors to help build confidence in Bosch products and solutions. Travel Expectation: Ability to travel up to 70% within the assigned region, with some flexibility for virtual training delivery. Qualifications Basic Qualifications: • Bachelor’s degree in a technical field (Mechanical, Electrical, or related discipline preferred)., • 10+ years of HVAC field experience, including installation, commissioning, and troubleshooting of heat pump systems, rooftop equipment, and related HVAC applications., • 3+ years of experience facilitating technical training or product education in either classroom or field environments., • Bachelor’s degree in Mechanical Engineering or equivalent technical discipline., • Experience with inverter/variable speed heat pumps., • Knowledge of residential and light commercial HVAC applications., • Demonstrated ability to create digital training content (videos, presentations, or interactive modules)., • Familiarity with market trends in electrification, decarbonization, and energy efficiency., • Hands-on experience with HVAC service and commissioning. Additional Information Indefinite U.S. work authorized individuals only. Future sponsorship for work authorization unavailable. Additional Information The U.S. base salary range for this full-time position is between $121,000- 131,000. Within the range, individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. This range does not include annual bonus percentage nor any other monetary considerations for the total compensation package. Your Recruiter can share more details about the specific salary range for this position during the interview process. In addition to your base salary, Bosch offers a comprehensive benefits package that includes health, dental, and vision plans; health savings accounts (HSA); flexible spending accounts; 401(K) retirement plan with an attractive employer match; wellness programs; life insurance; long term disability insurance; paid time off; parental leave. Pay ranges included in the postings, when included, generally reflect base salary; certain positions may include bonus, or additional benefits. Equal Opportunity Employer, including disability / veterans *Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.

We are seeking a detail-oriented and experienced Director of Engineering with a strong background in supervision and maintenance, including basic plumbing and knowledge and maintenance of electrical and HVAC, equipment, painting and general carpentry repairs and general facility maintenance. Job Description • Maintain a preventive maintenance program within the confines of an annual budget, including all heating and air conditioning, as well as maintenance and repair of buildings and equipment, • Coordinate engineering and maintenance activities with other departments to ensure safe and efficient operation, • Administer and direct programs to maintain buildings, grounds, and equipment, • Maintain adequate amount of equipment and supplies in accordance with department budget and Center standards., • Prepare and maintain documentation and records in orderly well-kept files in compliance with Joint Commission, OSHA, NFPA, Article 28 standards and applicable city, state and federal laws., • Maintain records of maintenance projects and monitor projects to ensure completion., • Coordinate contractor activities during remodeling projects to ensure safety and cleanliness of facility, including shutting down and restart of utility systems., • Inspect hospital facilities on a periodic basis noting items in need of repair or replacement, • Bachelor's Degree required, Master's Degree preferred, • At least five to ten years progressive experience in supervision and maintenance, including basic plumbing and knowledge and maintenance of electrical and HVAC, equipment, painting and general carpentry repairs and general facility maintenance, • Ability to negotiate vendor agreements and manage contractual relations while ensuring compliance with applicable regulatory standards, • Able to read, comprehend and follow written and verbal instructions and aptitude to provide and supervise knowledge of general painting and general carpentry maintenance, HVAC, plumbing and electrical systems, • Analytical skills at a level to interpret detailed instructions, floor plans and the like in order to assemble, repair equipment and furniture, remodel work areas, etc., • Familiar with local building codes, The Joint Commission, NFPA, and OSHA regulations, as well as familiar with all current health and safety regulations

AG Consulting Engineering, PC (AG) a design, engineering and construction management firm headquartered in Manhattan is looking for several Civil Inspectors with NYC Environmental Protection (DEP) experience. POSITION: DEP Civil Inspector LOCATION: Brooklyn PROJECT: DEP Infrastructure SCOPE: This project includes upgrades at the Paerdegat and Avenue U Pumping Stations to provide reliable, efficient, resilient, sustainable and low maintenance operation in accordance with DEP’s Wastewater Pumping Station Design Guidelines. DEP is responsible for the operation of New York City’s Collection Facilities, which include over 95 Pumping Stations. The failure of Pumping Stations within the wastewater conveyance system can cause the spill of raw sewage into nearby receiving waters. Other potential problems associated with a Pumping Station failure can include: flooding of highway or local streets; flood damage to private property; beach closings; water quality violations; and odors. Because of the potential failures, it is critical that DEP’s Pumping Stations be maintained in a state of good repair REQUIREMENTS – Civil Inspector is responsible for examining the contractor’s work to ensure the work is being performed in accordance with the contract and shop drawings. The inspector shall prepare daily inspection reports that summarizes contractor staffing, work activities, and production levels sufficient to allow for payment. The inspector must review and maintain T&M records as needed. Ability to communicate effectively, both orally and written. Ability to read and interpret plans and specifications and prepare written daily narratives (work reports), special inspection reports, daily time and material records. Identify potential extra work issues and keep Resident Engineer advised of issues. -Bachelor’s Degree in Electrical Engineering preferred. - Minimum five years of experience inspecting construction work. -Trained in minimum OSHA 30-hour construction safety. A.G. Consulting Engineering, P.C. offers salary commensurate with experience, a comprehensive benefits package which includes medical, dental, PTO days, holidays, disability insurance, life insurance, 401K plan, tuition reimbursement, and more. AG is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.

Job Description Join us at Gradient, where our purpose is to revolutionize home comfort while championing environmental sustainability. Our mission is to combat the escalating challenge of climate change by redefining how homes are heated and cooled. Today, the environmental impact of heating and cooling systems surpasses that of the entire transportation sector, and without intervention, this trend is set to escalate drastically. At Gradient, we believe that ensuring comfortable living spaces shouldn't come at the cost of our planet. We envision a future where every individual can enjoy the luxury of a comfortable home without contributing to carbon emissions. Our high-efficiency, low-carbon heat pump is just the beginning of our journey toward fully decarbonizing buildings. By joining Gradient, you'll be at the forefront of a movement to make sustainable living accessible to all, ensuring healthier communities and a brighter, greener future. We're seeking a motivated Business Development Manager, HVAC to join our team and drive growth in the Northeast region. If you have a passion for sustainable technology and a solid foundation in building automation, we want to hear from you. In this role, you'll play a vital part in introducing our innovative heat pump technology to commercial clients across the Northeast. You'll leverage your technical knowledge and sales skills to build relationships, identify opportunities, and contribute to a greener future. This person will ideally live somewhere in the Mid-Atlantic up through the New England region. The estimated on target earnings (salary + commissions) for this role are $150,000 – $180,000 USD per year + equity. An individual's compensation will vary on a number of factors including but not limited to geography, skills, education, experience and unique qualifications where applicable. Your Responsibilities: • Sales & Business Development: Identify and pursue sales opportunities within the commercial building sector, focusing on HVAC and building automation systems (BAS)., • Technical Consultation: Provide technical support and product knowledge to clients, explaining the benefits of Gradient's heat pump technology and its integration with building control systems., • Relationship Building: Develop and maintain strong relationships with engineers, contractors, and facility managers in the Northeast market., • Project Support: Collaborate with internal teams to support project execution, including site surveys, proposal development, and technical presentations., • Market Research: Stay informed about industry trends, competitor activities, and regulatory changes in the Northeast's HVAC controls market., • Channel Partner Support: Assist in building and supporting relationships with channel partners, including system integrators and controls specialists., • Rebate and Incentive Program Awareness: Learn and utilize knowledge of Northeast state and utility rebate programs to support sales efforts., • Minimum of 5 years of experience in sales or technical support within the HVAC controls and building automation industry., • Solid understanding of HVAC systems, building automation systems (BAS), and control strategies., • Familiarity with integration protocols (e.g., BACnet, Modbus)., • Strong communication and presentation skills, with the ability to explain technical concepts., • Ability to build and maintain relationships with clients and partners., • Proficiency in CRM software., • Bachelor's degree in Engineering (Mechanical, Electrical, or related field) or a related technical field, • Willingness to travel within the Northeast region as needed., • Contribute to a company with a mission to combat climate change., • Gain experience with cutting-edge heat pump technology., • Work in a collaborative and supportive team environment. Benefits • Equity, • Medical/vision/dental/life/disability insurance, • 401k, • Paid parental leave, • Professional Development Stipend, • Commuter benefits Gradient is an equal opportunity employer. We do not make hiring or employment decisions on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, disability status, or genetic information, in compliance with applicable federal, state and local law.

Job DescriptionTop Local Construction Management Firm with Exceptional Backlog of Projects! This Jobot Job is hosted by: Logan Ridge Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume. Salary: $150,000 - $200,000 per year A bit about us: We are a top ranked General Contractor with over 100 years in business. We have become the gold standard for our clients by delivering projects on time and budget time and time again. We do this by hiring some of the best talent in the market and treating our employees like family. With an above average tenure Why join us? • Exceptional Salary, • Great Benefits, • 401k, • Bonus Job Details Qualifications: • BS Degree in Mechanical Engineering, Electrical Engineering, or a related field., • Minimum of 5 years of experience overseeing MEP's on a commercial construction ., • Proven track record of managing complex projects from start to finish., • Strong knowledge of construction procedures, materials, and project management principles., • Exceptional leadership and team management skills, with the ability to motivate and direct a diverse team of professionals., • Strong problem-solving abilities and excellent decision-making skills., • Excellent knowledge of construction quality control, building codes, and safety regulations., • Proficient in project management software and other relevant computer applications., • Excellent communication and negotiation skills., • Ability to work under pressure and meet tight deadlines while maintaining high-quality standards., • Proven ability to manage budgets and resources effectively. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policyCompany DescriptionJobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values. Founded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA). Ready to find a good job? Create your profile today at Jobot.com.Jobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values.\r\n\r\nFounded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA).\r\n\r\nReady to find a good job? Create your profile today at Jobot.com.

Job DescriptionFinal compensation will be based on a combination of:· Relevant work experience· Education· Project size · Project location· Required working hours· Candidate subject matter expertise and/or specialty · Ability to be approved by agencies/owners as required· Has your professional growth flatlined? Jumpstart your career and energize your future with TCE. We specialize in successfully delivering complex electrical systems for civil infrastructure projects, with deep roots in transit systems and a proven history of success across all electrical disciplines. If you have the desire to succeed and are driven by results, we want you on our team. We take pride in developing our people by supporting their education and growth. Working on one of the oldest, 24/7, transit systems in the world, you are guaranteed challenging and engaging construction projects that keep New York City running. In this role, your primary function is to provide scheduling support to Schedule Managers on the assigned projects. You will assist Schedule Managers in developing proposal schedules, baseline schedules, gathering schedule information for CPM updates etc. You will be responsible for monitoring projects from the ground level and providing feedback to your immediate supervisors. Keys to progression will be acquiring a moderate level of expertise on the scheduling software and developing a project baseline schedule using company's standard scheduling techniques. II. EDUCATION/CERTIFICATIONS • 4-year undergraduate degree in construction or any engineering field with preferred coursework knowledge (or equivalent industry experience)., • Assist Schedule Managers in developing and maintaining project schedules using Primavera P6, • Review contractual specifications, drawings & estimates to identify major scope of work, project timelines, resource requirements and sequencing including associated constraints., • Gather project status information from project teams and update project schedule, • Report project status to Schedule Manager and project team on a regular basis including, but not limited to, • Status of critical submittals, long lead procurement items on assigned projects, • Design/construction changes and construction delays in the field, • Construction progress from site visits, • Attend internal project meetings, • Report key project metrics using Power BI dashboards and other project controls reporting techniques, • Contribute to company's efforts in standardization of project controls and scheduling methodologies at a program level., • 0-2 years of industry experience including internships and capstone projects. For candidates with experience, MTA project experience is preferable., • Hands-on experience with scheduling tools like Oracle Primavera, MS Project is preferable., • Fundamental engineering knowledge in electrical, mechanical, civil, or related construction disciplines., • Power BI and Computational languages are highly desirable., • Demonstrate problem-solving abilities using creative yet practical approach., • Interpersonal skills demonstrating a consistent commitment and ability to work with diverse work groups and individuals., • Visit project sites as needed., • Establish goals, plan tasks and meet objectives., • Handle constructive criticism from peers and mentors and steer it towards professional and personal growth. #ZR Salary Range:$90,000—$120,000 USD