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Senior Lead AI Engineer (Gen AI Platform Services, Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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).

Web Developer III Location: New York, NY Contract Duration: 6 months on W2 with possibility for extension/conversion Pay Rate: $70/hr Benefits: Dental, Health, Vision, PTO Job Overview Were looking for an experienced software engineer with a strong background in building web applications and deep proficiency in Python. In this role, youll help develop the next generation of computer-use agents by expanding anapp simulation pipeline used for training and evaluation. Youll work on a core product: an app simulator for AI agents (OpenApps ecosystem),a system designed to mimic real-world software environments where AI agents can learn and operate. This role sits at the intersection of product engineering and AI research, contributing directly to frontier advancements in AI systems. What Youll Do: • Scale and evolve our app simulation framework used to train computer-use agents, • Design and build applications that simulate real-world user environments, • Partner with researchers to translate experimental ideas into functional systems, • Contribute to the infrastructure powering next-generation AI agents Youll join a team focused on pushing the boundaries of secure, reliable, and scalable AI agents. This is a new initiative centered on advancing computer-use capabilities through high-fidelity simulation. Success in this role is measured by your ability to deliver impactful features that expand the capabilities of the research environment. Must-Have Skills • 57 years of software engineering experience, • Python, • Web Development (Python backend), • Familiarity or interest in AI research, • Experience working in scrappy, fast-moving environments, • Exposure to end-to-end application development Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. #TMN

Lead AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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 AI Engineer (MLX, Agentic AI, Gen AI platform Services) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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).

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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 AI Engineer (MLX) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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).

Title: Senior Transportation Engineer Department: Civil & Environmental Engineering Reports To: Department Chair, Civil and Environmental Engineering Position Type: Staff Position Summary: Under the supervision of the Chair of the Department of Civil and Environmental Engineering, the Senior Transportation Engineer works with faculty and other research staff on complex transportation planning analysis tasks related to sponsored research projects, focusing on transportation data development and analysis, use of regional travel demand, traffic and simulation models, and ITS engineering. Under the direction of the Department Chair and Principal Investigators on research projects, the Senior Transportation Engineer participates in a variety of research activities, including performing technical analysis work, preparing documentation, assisting with technology transfer activities, and participating in communication with clients. Duties also include needs assessment, implementation and support for research tasks to which the incumbent is assigned. Essential Functions: • Manages one or more tasks for sponsored research projects. The incumbent will focus on areas of transportation modeling and systems analysis, traffic engineering, ITS, and transit systems operations. The incumbent will utilize and apply travel demand modeling, traffic engineering and simulation, GIS, and other transportation and mathematical modeling and analysis software., • Keeps up with the state-of-the-practice in transportation modeling, traffic engineering and operations, and ITS, including innovations in related software tools. Implements this knowledge in research activities. (55%), • Performs (as assigned) literature review, problem identification, data collection and analysis, analysis of solutions, and development of recommendations., • Works with faculty, research staff, and students on preparing technical scopes of work for research projects, and assists the Principal Investigators with developing project schedules., • Assists faculty and other researchers with managing all aspects of the technical work in the areas of transportation modeling and systems analysis, traffic engineering and ITS, including the scheduling and assignment of work tasks. (30%), • Prepares technical memoranda and progress reports summarizing the results of the technical work. The incumbent will also be responsible for preparing sections of the Final Report documents related to the work tasks performed as part of research projects, including printed and electronic data and reports for submission and presentation to research clients. The Senior Transportation Engineer will attend meetings as necessary with NJIT faculty and staff, as well as meetings with research clients., • In coordination with faculty prepares and sends for publication research reports and papers related to conducted research. (10%) Additional Functions: • Assists faculty with graduate student guidance and mentoring by providing expertise and advice in the areas of transportation modeling, engineering, ITS, and data analysis. (5%), • Performs other related duties as assigned by the Chair of the Department of Civil and Environmental Engineering or Principal Investigators on research projects. Prerequisite Qualifications: • Master's degree in Transportation, Urban Planning, or a related field., • Three years related experience in the computer based transportation modeling, simulation, and systems analysis., • Working knowledge of regional and local transportation planning and engineering practices in New Jersey, as well as basic transportation engineering theory and practices nationwide., • Working experience in computer based traffic analysis, preferable using Synchro., • Working experience in computer-based transportation modeling (Cube, TransCAD, or VISUM) and simulation (Paramics, VISSIM, or CORSIM)., • Must have a strong computer background, including high-level proficiency with Microsoft Windows and Office software, including Word, Excel, Power Point, Access, and Visio., • Knowledge and working experience using data analysis tools such as New Jersey Congestion Management System (NJCMS), New Jersey Accident Record Database (NJARD), and Census Transportation Planning Package (CTPP)., • Must have excellent oral and written communication skills, • At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position Preferred Qualifications: -Experience with ITS engineering and systems analysis is preferred. Bargaining Unit: PSA Salary Information: In compliance with the NJ Pay Transparency Law, the negotiated annual salary range for this position is $63,129.05-$113,324.04 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page . Range/Band: 22 FLSA: Exempt Full-Time Apply NowShare Save Job

• Job Type: Support Staff - Union, • Bargaining Unit: TWU - B&G, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 40, • Standard Work Schedule: Sunday - Thursday, 2:00pm -10:30pm, • Building: Manhattanville The Head Service is a leadership position in the Facilities Operations department providing high quality and effective work in the maintenance and repair of Columbia University - Manhattanville Campus (CUMVC) equipment, services, and systems. Independently; operate, inspect/round, maintain, and repair equipment and machinery in good workmanlike manner while maintaining a high level of safety, reliability, efficiency, and cost effectiveness. Responsibilities • Ensure the efficient and effective use of staff, facilities, materials, and equipment., • Determine the needs of the customer and respond as necessary in accordance with policy and procedure., • Determine priorities and allocate work to all staff including Maintenance Workers and Apprentices., • Monitor work progress and pursue as necessary., • Advise on best methods or repair and maintenance, and operations., • Ensure all work is carried out to completion and within a realistic time frame., • Communicate with external agencies when necessary to organize and schedule repair work., • Ensure the work areas are maintained as per governing agencies and to CUMVC standards., • Organize and maintain proper preventive maintenance of machinery to prevent premature failure., • Communicate daily with appropriate supervisors of work progress and concerns., • Advanced troubleshooting of equipment and systems., • Work with management to develop and prepare work estimates (time and materials required on specific work tasks)., • When necessary, ensure that the Service Level Agreements are adhered to and proper time and materials are tracked., • Work with management to track, schedule and/or coordinate staff time-off., • Coordinate all time including overtime to ensure appropriate coverage., • May be responsible for Apprentices and Maintenance Workers in association to all said items above., • High School Diploma and/or the equivalent., • One (1) year internal experience as a Service Mechanic - Level 3; or external equivalent of nine (9) years of experience as an HVAC or refrigeration mechanic., • Possess strong leadership skill, • Three (3) years internal experience as a Service Mechanic - Level 2; or external equivalent of eight (8) years of experience as an HVAC or refrigeration mechanic., • Must be a quick learner and exhibit self-motivational skills., • Adequate ability to discern colors for monitoring alarm conditions., • Strong team mentality (ability to work with others)., • Well refined interpersonal skills with the ability to communicate with all levels of staff, customers, clients, students, vendors, and management., • How to read and interpret SDS information., • Understanding of general vivarium, and laboratory rules and restrictions., • How to identify a fire rated barrier and properly install fire-stopping materials., • Must be able to work all shifts as assigned., • Proficient in the fundamentals of maintenance and repair of building systems., • Proficient in troubleshooting of equipment and systems., • How to properly use, install, and inspect fire stopping materials., • Knowledgeable on how to safely operate and interpret a volt ohm meter, and troubleshoot basic electronics., • How to properly utilize lock out-tag out procedures for all energy sources (electrical, thermal, hydraulic, hydronic)., • How to operate and interpret air flow instruments, including but not limited to capture hoods, manometers, and anemometers., • How to properly and safely operate all hand tools, power tools, equipment utilized by facilities maintenance and repair., • Maintain, troubleshoot, and repair refrigeration equipment including condensing units up to 50 tons., • Maintain, troubleshoot, and repair hermetic, semi-hermetic, reciprocating, and scroll chillers under 50 horsepower., • How to properly test and document the operation of a steam trap., • How to perform more advanced sheet metal work such as installing fire/smoke and fire dampers., • Ability and knowledge on how to remove, repair, and install large cooling and heating coils., • Ability to discuss the refrigeration cycle including operation and troubleshooting of its components., • Hold and maintain Certificate of Fitness for Fire Guard (F-60), • Hold and maintain Certificate of Fitness for Using Powder Activated Tools (E-21), • Hold and maintain Certificate of Fitness for Torch Operations (G-60), • Hold and maintain Certificate of Fitness To Operate and Maintain Air Compressors (A-35), • Hold and maintain Certificate of Fitness for City Wide Sprinkler Systems (S-12), • Hold and maintain Certificate of Fitness for City Wide Standpipe Systems (S-13), • Hold and maintain Certificate of Fitness for Standpipe for Multi-Zone Systems (S-14), • Hold and maintain Certificate of Fitness for Supervision of Bulk Oil Plants (P-12), • Hold and maintain Certificate of Fitness for Supervise Fuel-Oil Piping and Storage in Buildings (P-98), • Hold and maintain Certificate of Fitness for Handling, Use, and Storage of Flammable Compressed Gases (G-98), • Responsible for obtaining and maintaining other applicable NYC Certificates of Fitness as required by the FDNY and/or other authorities having jurisdiction., • Hold and maintain PBS (Petroleum Bulk Storage) Class B Operator, • Hold and maintain OSHA 10 Certification, • Hold and maintain EPA 608 Universal Technician Certification, • Hold and maintain two (2) of the NATE Service Specialty certifications listed below, or equivalent certification accepted by CUMVC Management, • Air Conditioning Service, • Air Distribution Service, • Heat Pump (Air to Air) Service, • Must be capable of performing fire brigade duties as assigned., • Knowledge of and/or Training on the following:, • General OSHA standards and requirements., • Use of portable fire extinguisher., • Hazardous waste awareness., • Asbestos hazards and safety., • Computerized Maintenance Management Systems (work order management system), • Confined space entry procedures., • Lock-out/Tag-out procedures., • Description and use of fire stopping materials., • Communication etiquette including phone, radio, and customer service., • Hot work permits., • Must demonstrate knowledge of all CUMVC's safety policies and procedures. Preferred Qualifications The physical and environmental demands described here are representative of those that must be met by an employee to successfully perform the essential responsibilities and functions of the job and are not meant to be all-inclusive. • Use strength to lift and transport items needed to perform the functions of the job, with the ability to lift 50 pounds independently and support team lift with reasonable accommodations., • Sit, stand, bend, kneel, crouch, and squat for prolonged periods of time and/or repeatedly over a required period of time., • Reach with and work with hands and arms overhead., • May work in an environment where a variety of pathogens, chemical substances, and gases are used for research., • Ability to work while wearing a full-face respirator., • Required to be Tuberculosis (TB) negative, submit to periodic TB testing, and a chest x-ray if a positive TB test is read. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

At EBI we're committed to providing deep technical, industry and commercial real estate expertise to help our clients navigate complexity and realize maximum value for their assets. For 35 years we've been helping investors, lenders, owners, developers, contractors, and property managers mitigate risk and optimize their built facilities for maximum economic, safety, and environmental value. We're unique in our ability to deliver high quality, responsive services across the entire asset lifecycle, from rapid assessments, to advisory, to implementation and verification services, nationwide. Unlike other environmental consulting firms, we provide the full suite of commercial real estate and asset management services through to improvement and verification. Our experts leverage our proprietary assessment methodologies, benchmarking, regulation, and analytics tools across six core domains. EBI is your environmental, sustainability, engineering and health and safety partner, nationwide. Assess. Advise. Improve. Verify. Position Summary EBI is seeking a full-time Senior Project Assessor to conduct Acquisition Property Condition Reports (APCR). APCRs are specialized assessments and deliver a significantly higher standard than a traditional ASTM-level report. APCRs provide real estate investors with actionable information that drives the best investment decisions and customized, relevant solutions based on solid comprehension of the property condition. Our consulting requires greater collaboration between our specialist team and our clients, defining and executing a scope of work unique to the project needs. The successful candidate will perform field assessments of various real estate property types, conduct interviews of onsite representatives, and independent research of local, state, and federal resources. Reporting may also include specialized evaluation of structural systems, roofing, MEP, facade, and other building components. A background/concentration in structural engineering is preferred for this role. This position reports directly to the Senior Program Manager and will be a remote, work from home position. The majority of clients this position will support will be located in or around the New England Region (more so Boston and New York City), so candidates will need to already be established in these markets. This is a field-based position, with upwards of 50% local and regional travel expected. Candidates must have previous experience with travel and be comfortable with this model to be considered. Essential Duties and Responsibilities • Conduct site reconnaissance for a wide variety of real estate property types; including but not limited to office, retail, multifamily, hospitality, and industrial, • Prepare deliverables with quality supporting documentation (site figures, appendices), • Assessment reporting will address the current condition of significant building and site components (i.e., foundations, framing, roof, facade, HVAC, etc.), evaluate effective useful life of key components, and address the need and timing of replacement and/or repair, • Travel on short notice (one week or less) will be required at times, • This position will be a remote location based from a home office Qualifications and Capabilities • Bachelor's degree from accredited college or university in architecture, engineering, construction, or related field (Bachelor's Degree in Structural Engineering or related focus and a Master's Degree is preferred but not required), • Significant professional experience in engineering/structural engineering and due diligence consulting and/or seven or more years in architecture, construction, facilities management, or other real estate consulting service, • This position requires technical writing responsibilities and direct interactions with clients. The successful candidate must possess excellent written and verbal communications skills., • Professional Engineer (PE) or Registered Architect (RA) certification is preferred, however, not required, • Specialized expertise in significant building components such as structural systems, roofing, facades, and/or mechanical systems is desirable, • Valid drivers license and registered vehicle required, • Proficient in Excel, Word, and Outlook, and knowledge of Quire (report writing platform) Application Disclaimer At EBI, we cultivate a welcoming and collaborative culture. We are proud to be an Equal Employment Opportunity employer and encourage diverse candidates to apply. We do not discriminate against qualified individuals based on their status as a protected veteran or individuals with disabilities, nor do we discriminate based on sex, race, color, religion, national origin, age, marital status, gender identity, gender expression, or sexual orientation. All vendors are expected to maintain a working environment free from discrimination or harassment. The reasonable estimate of the salary range for this position is $85,000 - $130,000. The salary range describes the minimum to maximum base salary range for this position across applicable US locations. This position may also be eligible for a bonus whereby total compensation may exceed base salary depending on individual performance. The actual compensation offered will be based on a range of factors that are considered in making compensation decisions including, but not limited to; geographic location, work experience, education, licensure requirements, knowledge, skills/level, qualifications and budget. #LI- New England Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

The Department of Biomedical Engineering - Prof. Elham Azizi's Lab, is looking for a Staff Associate III to: Functional Knowledge (35%) - Develop advanced probabilistic and causal generative frameworks linking molecular to clinical data; design interpretable representation spaces for tumor-immune dynamics and therapy response. Technical Expertise (25%) - Engineer LLM and diffusion/flow-matching pipelines; integrate multi-GPU distributed training, experiment tracking, and MLOps automation. Problem-Solving Skills (15%) - Innovate adaptive fine-tuning, multi-task learning, and agentic reasoning strategies to improve generalization and data efficiency. Decision Making/Autonomy (10%) - Lead architectural and data design decisions; prioritize experiments aligned with program milestones; evaluate trade-offs between model accuracy and interpretability. Communication Skills (10%) - Present findings at internal symposia and external conferences; co-author manuscripts; write high-quality documentation and technical reports. Mentorship/Leadership (5%) - Mentor junior engineers and research assistants; provide guidance on causal inference methods and AI-in-loop experimentation. B.S./B.E. (minimum) in Computer Science, Biomedical/Electrical Engineering, Statistics, Bioinformatics, Applied Math, or related field. MS or PhD degree is preferred but not required. Required qualifications • Substantial expertise in training deep learning models and tuning large foundation models., • Expertise with developing efficient data loaders for large datasets and optimizing training workflows., • Deep knowledge of probabilistic modelling, self-supervised learning and representation learning, diffusion/VAE/flow matching architectures, • Strong Python, PyTorch/JAX, containerization & MLOps skills; familiarity with distributed training and modern experiment-tracking stacks, • Experience with AI coding tools (e.g., Copilot, Cursor) Preferred extras • M.S. or graduate-level degree in relevant field, • Experience with single-cell and spatial genomic or imaging data, and multimodal integration, • Expertise in statistical causal discovery and inference, • Publications or open-source contributions in generative models, • Strong interest in applications and driving impact in cancer biology and immunology 6+ years of experience in software engineering including: 3+ yrs hands-on experience training generative AI or large-language models at scale 2+ years experience with statistical or generative modeling Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The Associate Applied AI Engineer supports the development, deployment, and maintenance of artificial intelligence applications for the Columbia University Irving Medical Center (CUIMC). This role contributes to the design and implementation of AI-enabled solutions that support administrative, research, clinical, and educational operations across the institution. Working closely with senior engineers and cross-functional teams, the Junior Engineer assists in building applications that leverage large language models (LLMs), retrieval-augmented generation (RAG), automation frameworks, and machine learning techniques. This role focuses on implementing AI solutions, supporting application deployment, and ensuring systems operate securely, efficiently, and in alignment with institutional policies and governance standards. Responsibilities Essential Duties: AI Development and Implementation • Design, develop, and maintain AI-enabled applications utilizing retrieval-augmented generation (RAG) techniques to enhance knowledge discovery, automate workflows, and support decision-making across CUIMC operations., • Build scalable AI tools and services that integrate with ___CUIMC administrative, clinical, research, and educational systems., • Develop rapid proof-of-concept prototypes to evaluate ___new technologies and demonstrate solution feasibility to stakeholders., • Troubleshoot AI applications and assist with diagnosing and resolving technical or performance issues in development or production environments., • Monitor emerging developments in artificial intelligence, machine learning frameworks, and generative AI technologies relevant to healthcare and higher education., • Prototype solutions using open-source tools and AI platforms present demonstrations or findings to internal stakeholders., • Support the design and deployment of AI solutions that prioritize privacy, transparency, security, and ethical use of data., • Adhere to CUIMC policies related to data governance, compliance, and institutional review requirements., • Partner with engineers, analysts, data scientists, and institutional stakeholders to design and implement AI-enabled solutions., • Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Statistics, or equivalent combination of education and experience., • Minimum 4 years of professional experience in software engineering, artificial intelligence, machine learning, data engineering, or ___a related technical field., • Experience with at least one programming language commonly used for AI or application development (e.g., Python, JavaScript, TypeScript, Java, or C#)., • Experience developing, testing, and maintaining software applications, data pipelines, or AI-enabled solutions., • Strong analytical and problem-solving skills with the ability to translate technical concepts into practical solutions., • Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Statistics, or ___a related discipline., • Experience developing applications that leverage large language models (LLMs), generative AI tools, or retrieval-augmented generation (RAG)., • Familiarity with AI development frameworks or orchestration tools such as LangChain, LlamaIndex, or similar technologies., • Experience deploying applications or machine learning workflows in cloud environments such as AWS, Google Cloud Platform, or Microsoft Azure., • Exposure to AI platforms such as Amazon Bedrock, Google Vertex AI, or Azure AI Studio., • Experience working with natural language processing (NLP), data extraction, or analytics involving structured and unstructured data. Columbia University is committed to the hiring of qualified local residents.

Title: AI Engineer Agent (Hourly) Department: Biomedical Engineering Reports To: Associate Professor Position Type: Staff Position Summary: The candidate will integrate into our AIM (AI+Imaging+Medicine) lab team to conduct research in the field of artificial intelligence in biomedicine and also provide necessary support for other research projects. The focus will be agentic AI research and related technical development in biomedical field, including brain tumor, traumatic brain injury and others. Essential Functions: -The candidate will work on large language model, agentic AI and other AI models and develop applications to biomedical projects. Prerequisite Qualifications: -MS degree in computer science or related field, ideally both MS and BS are in the related field. -Proven record of applying AI technologies in biomedicine. -Being able to integrate into our existing lab team to conduct research. -Excellent communication skills. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Salary Information: In compliance with the NJ Pay Transparency Law, the hourly rate for this position is $35.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. FLSA: Non-Exempt Part-Time Apply NowShare Save Job

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: Morningside The Assistant Director of Graduate Academic Advising supports the academic success and overall experience of Columbia Engineering graduate students. The role enhances advising capacity across master's and doctoral programs, with added emphasis on master's level support. It focuses on providing academic policy guidance, supporting partnership and dual-degree programs, and coordinating responses to student concerns. In addition to advising master's students, the position contributes to selected doctoral processes and assists with routine doctoral student-related inquiries. The Assistant Director works closely with departments and campus partners to ensure students receive consistent information, timely assistance, and a clear path toward degree completion. Responsibilities Graduate Student Advising (50%): Advises graduate students, with an emphasis on MS students, on various aspects of their studies, including school-level degree requirements, academic policies, and procedures. Meets with students individually, responds to their inquiries, and connects them to resources as appropriate. Advises students interested in or enrolled in the school's various MS specializations, such as the Advanced Master's Research specialization. Supports student advising needs for partnership and dual-degree programs, coordinating requirements, documentation, and routine communications with students. Coordinates onboarding and support for incoming partnership and dual-degree program students, including orientation materials and transition guidance. Serves as an advisor for designated Columbia Engineering MS programs, including but not limited to MBAxMS and the MS in AI program. Tracks and provides guidance to students on curriculum requirements, registration issues, and academic planning. Refers students to their respective faculty advisors and Career Placement Officers to address electives, career-related questions, and other issues. Serves as a liaison with Columbia Engineering departments in supporting all aspects of student affairs to ensure student success. Assists with escalated student cases from Columbia Engineering departments on complex academic policy issues, providing high-touch support and case management. Collaborates with other schools, offices, and departments (GSAS, ISSO, Registrar, Health Services, Student Financial Services, and Columbia Residential) on student cases as needed. Maintains a very high level of knowledge of school academic policies and procedures. Attends, assists, and presents at new-student orientation, relevant school-level or program-specific meetings and events, and other events throughout the year. Tracks, assesses, and reports on student data. Identifies students who are not meeting satisfactory academic progress. Recognizes and advises on trends in advising cohorts. Graduate Student Affairs (30%): Assists in monitoring and tracking MS and doctoral students' degree progress, registration status, academic standing, and changes in status. Identifies students who are not meeting satisfactory academic progress. Provides support and coordinates with department student affairs officers on academic plans for students who require monitoring or intervention. Identifies trends on a larger scale and works to address them through school policy and at the program level. Serves on the Engineering Student Affairs graduate student on-call team, providing crisis intervention for graduate students experiencing difficulty. Responsible for engaging with the student/s and then connecting the student to the appropriate resources for further engagement. Assists with responding to urgent situations. Supports key onboarding, orientation, and professional development programs for doctoral students, including Engineer Your PhD (EYP), Three Minute Thesis (3MT), and PhD Connect. Partners with other Engineering Student Affairs teams, including Student Life and Professional Development and Leadership (PDL) teams, to innovate programming to meet evolving student needs. Assists with partnership and dual-degree program student recruitment efforts, such as but not limited to open house events and yield programming. Liaises with admitted students to address admissions, academics, and registration inquiries. Graduate Academic Affairs (15%): Reviews graduation clearances for MS and MPhil degree levels. Maintains advising resources, program guides, and communication templates for both MS and doctoral audiences. Supports departmental outreach by sending reminders about upcoming deadlines, policy changes, and required actions. Additional duties as assigned (5%) Minimum Qualifications • A bachelor's degree and or its equivalent., • A minimum of 2-3 years of related experience is required., • Understand student and academic affairs opportunities and challenges affecting constituents, comprising a diverse population, both domestic and international., • Ability to represent the Program and School professionally at events., • Demonstrated ability to take initiative and work independently, accepting responsibility and accountability for assignments, within a team environment., • Ability to balance multiple tasks with competing deadlines, demonstrated ability to pay strict attention to detail, and exercise discretion in handling confidential information., • Experience working in a team environment, and the ability to work independently., • The ability to interpret and apply standards and the ability to communicate complex policies and procedures to students, faculty, staff, and other stakeholders., • Strong technical competency is required; demonstrate an understanding and appreciation of student services database software and online resources, and the willingness and enthusiasm to respond to students' needs in an increasingly technologically dynamic society., • Proficiency with Google suite of products, MS Office (Excel with pivot tables, vlookup), PowerPoint, publishing software, social media, etc., • Ability to analyze and work with a large volume of student, course, and other types of data., • Must be willing to work on occasional evenings and weekends, on a needed basis, especially when on-call and student crises arise., • Possess excellent interpersonal and administrative skills., • Ability to work independently and under pressure, with a high level of attention to detail., • Candidate must exercise good judgment and flexibility., • Must be able to prioritize multiple tasks with minimal supervision., • Must be able to communicate effectively and tactfully with staff, faculty, students, employers, and alumni in small and large group settings., • Must be able to exercise good judgment, diplomacy, and flexibility, with a student-wellness mindset., • Graduate-level work is preferred., • Knowledge of advising and counseling techniques., • Knowledge of University-specific computer application programs and pertinent databases. Columbia University is committed to the hiring of qualified local residents.

Job Description About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey. Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50–$70/hour Location: Remote Commitment: 30–40 hours/week Role Responsibilities • Review real-world data from deployed networks, including logs, configs, telemetry, and event streams., • Label and classify key behaviors, issues, and anomalies in network data., • Help define schemas and structure for large-scale data pipelines., • Interface directly with the client team to ensure data quality and relevance. Must-Have • Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.)., • Comfort with interpreting logs, events, and time-series metrics., • Upload resume, • AI interview based on your resume

Job DescriptionSalary: $40,000 - $60,000 Premier Managed IT Service Company that delivers IT products and services to small businesses in the United States is looking to add an experienced, on-site Help Desk Engineer in New York for one of our clients. This position will provide growth opportunities to other senior technical client-facing roles of our firm and requires a proactive, hard-working individual with a can-do attitude and the ability to wear multiple hats in a fast-paced environment. We are looking for the best and brightest to join our growing team. We demand people who: • Care about our clients, • Are passionate about what they do, • Are team players, and willing to help other team members, • Believe in doing things right the first time, • Are dedicated to continual improvement, • Embody positivity Everyday Duties • Respond to incoming calls and e-mails regarding information technology problems, using help desk software., • Perform hands-on fixes at the desktop level, including installing and upgrading software, installing hardware, and configuring systems and applications, • Perform basic network administration tasks, such as setting up new user accounts and granting access to network resources., • Communicate with third-party support and PC equipment vendors., • Identify and learn appropriate software and hardware used and supported by the organization., • Provide superior service and customer support, • Diagnose and perform on-site installations, repairs, maintenance, and tasks Qualifications • Previous help desk experience, • Good interpersonal skills, with a focus on rapport-building, listening, and questioning skills, • Highly self-motivated and directed, • Ability to effectively prioritize and execute tasks, • Experience with Windows desktop and server operating systems, including Windows 2016-2022 and Windows 10 - Windows 11, • Experience with Mac OS X Configuration and troubleshooting, • Knowledge of Microsoft Active Directory, • Knowledge of computer hardware, • Good understanding of the organization's goals and objectives, • Experience working in a team-oriented, collaborative environment, • Ability to absorb and retain information quickly, • Ability to present ideas in user-friendly language, • Proven analytical and problem-solving abilities, • Customer service orientation, • Ability to conduct research into a wide range of computing issues as required Education Requirements: Bachelor's degree Preferred Certification Requirements: • A +, • Network +, • Microsoft certifications a plus Job Type: Full-time/ On-Site Salary + Benefits: • $40,000.00 - 60,000.00 /year Some of Our Benefits include • Paid Time Off (PTO), • Access to 401K with match, • Subsidized individual & family health, dental, and vision insurance plans, • Ongoing company-funded professional development & education allowances, • Much more! Must Complete the company Assessment to be considered for hire: #ZR

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:We are seeking a highly motivated IT Systems Support Engineer to be based at our New Jersey headquarters. As our second IT hire, you will be a key bridge between hands-on user support and deep-tier systems engineering, reporting directly to and collaborating closely with Thea Energy’s Director - IT across all things infrastructure, security, and support. This is a high-impact, high-ownership role for someone who enjoys building robust systems from the ground up. You'll ensure our scientists, engineers, and executives have a frictionless path to the tools they need - with a leading role in shaping how the Company’s digital foundation is built.Key Responsibility Areas:This role spans both strategic and operational IT, from supporting our scientists and engineers day-to-day to building the systems and automation that scale with the Company. • Own day-to-day IT operations as a primary point of contact for user support, while continuously building and improving the underlying infrastructure., • Design and deploy automated workflows to ensure smooth employee onboarding, offboarding, and lifecycle transitions., • Manage physical and virtual server environments, ensuring high availability, consistent patching, and strong security practices., • Optimize cloud environments, manage identity and access, and maintain a strong security posture across the organization., • Maintain office and lab network infrastructure - including VPNs, firewalls, switches, and Wi-Fi - ensuring reliable, low-latency connectivity., • Build and maintain a thorough knowledge base: clear documentation and infrastructure diagrams that the whole team can rely on., • Manage hardware and software lifecycles, including inventory, procurement, and vendor relationships., • Administer and maintain our MDM environment: managing device enrollment, compliance policies, and configuration profiles across Windows and macOS., • Implement and uphold security best practices to protect mission-critical intellectual property and research data., • Proactively identify and reduce technical debt through automation and process improvement.Ideal Experience & Skillsets:, • 5+ years of experience in systems engineering and desktop support across Windows and macOS., • Proficiency in PowerShell, Python, or similar scripting/automation tools., • Experience managing network infrastructure, including firewalls, switches, and access points., • Hands-on experience with at least one major cloud platform (Azure, GCP, AWS, or Google Workspace/O365)., • Experience with modern IT ticketing systems (e.g., ServiceNow, Zendesk, Freshdesk) and structured support workflows., • Strong documentation skills - able to translate complex systems into clear diagrams and written guides., • Excellent communication skills - comfortable explaining technical issues to both engineers and non-technical stakeholders., • A collaborative, low-ego approach: equally comfortable supporting a user with a hardware issue and leading a server migration., • Ability to thrive in a fast-moving, high-growth environment where priorities can shift quickly., • Experience across multiple cloud platforms (Azure, GCP, AWS, Google Workspace/O365)., • Background working in a startup, research, or scientific/engineering environment., • Familiarity with compliance frameworks or security standards (SOC 2, NIST, etc.)., • Experience with email security platforms (e.g. Barracuda, Proofpoint, Mimecast)., • Familiarity with Security Awareness Training tools (e.g. NINJIO, KnowBe4, Proofpoint).Company Benefits:, • Salary range $85,000-$145,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. In particular, this role aims to enhance the global quality of the post-training codebase by implementing new tools to ease and support research, optimizing post-training algorithms, and scaling di

As a Principal Decision Scientist, Machine Learning Engineer you will: Define high-level business objectives directly with clients, then develop and execute the project plan to meet those objectives Proactively research and apply knowledge within the data science space to deliver best-in-class sol

A leading AI insights firm is seeking a skilled engineer to own the LLM infrastructure for transformative B2B research products.

As a Staff Research Engineer, you will define the scientific "North Star" behind the evaluation flywheel, drive technical success across methodologies, and partner with product, engineering, and model training teams to steer the system toward reliability and trustworthiness at scale. Meta Superintel

The research software engineer will be part of a growing community of Flatiron scientists and software engineers working on astronomical software, including Flatiron Software Research Fellows (postdocs), CCA-affiliated SCC scientists, and other research software engineers in CCA. The CCA seeks a ful

Mentor other researchers/engineers, set technical direction, and establish best practices for applied research and engineering. As a Staff Research Engineer, you'll be responsible for building industry-leading conversational AI models that power Decagon's agent, and taking them all the way from idea

The Software Engineer will report to Shirley Ho, Senior Research Scientist and is a full-time fixed term position with a duration of one year, with possible renewals. Knowledge of software engineering practices for working in groups, including software development life cycles, coding standards, code

Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. As a Staff Research Engineer, you will develop, prototype, and deploy techniques that materially improve how fast and efficiently our models run in production. Strong software engineering skills.

Collaborate globally with Optiver business teams including traders, researchers, and engineers to push their understanding of the market to new heights. Excellent communication and collaboration skills for working with global researchers and engineers. Expand the Optiver Research Platform's capabili

Job details About Us: The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe. Exciting Opportunity at MSK:Senior Infrastructure Engineer - EmailAdministration Memorial Sloan Kettering Cancer Center (MSKCC) is seeking a Senior Infrastructure Engineer - Email Administration to support our Advanced Technologies team. This roleis responsible forsecuring and operating missioncritical email services in a highly regulated healthcare environment, ensuring reliability, compliance, and protection of patient information. Role Overview * Design, implement, andoptimizescalable, secure enterprise email infrastructure across hybrid environments * Administer Microsoft 365 Messaging and Exchange Server (2016/2019/SE) to ensure high availability and performance * Implement and manage SPF, DKIM, and DMARC to prevent spoofing and business email compromise * Configure andmaintainMicrosoft Purview compliance tools, including DLP and information protection * Develop andmaintainPowerShell automation for administration, reporting, and configuration management * Leverage Power Automate to streamline workflows and integrate email processes with hospital systems * Monitor email health, security posture, and message flow; resolve complex routing and delivery issues * Participate in 24/7 on-call rotation to support critical messaging incidentsimpactingpatient care * Lead or support email-related initiatives including migrations, upgrades, hybrid configurations, and security enhancements Key Qualifications * 5+ years of hands-on experience engineering and administering enterprise email platforms * Deepexpertisewith Microsoft Exchange (hybrid and/or Exchange Online) in regulated environments * Proven experience with email security gateways, preferably Proofpoint solutions * Strong working knowledge of HIPAA requirements related to email and PHI protection * Advanced PowerShell scripting experience for automation and operational efficiency * Experience supporting high-availability messaging systems in healthcare or similar regulated industries Core Skills * Strong analytical and troubleshooting capabilities across cloud and on-premises environments * Ability to design secure solutions aligned with compliance and regulatory standards * Effective collaboration with security, compliance, clinical, and application teams * Ownership mindset with the ability to manage incidents and priorities under pressure * Clear documentation and communication skills to support audits, runbooks, and knowledge sharing Additional Information: * Schedule:9:00 AM - 5:00 PM EST, Monday - Friday * Location:Hybrid1-2 times amonth;633 Third Avenue, New York, NY (twice a week) * Reporting ToManager I, Infrastructure Helpful Links: * * Pay Range: $151,300.00 - $249,700.00 FSLA Status: Exempt Closing: At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills. MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision. Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The Department of Pathology and Cell Biology at Columbia University Irving Medical Center, through partnership with the NewYork-Presbyterian Hospital, established the Digital and Computational Pathology Laboratory (DCPL) in 2018 to accelerate the development and deployment of quantitative pathology. Leveraging our network of expert pathologists and the department's extensive basic sciences knowledgebase, the DCPL aims to advance tissue-based diagnostics and personalized medicine using cutting-edge computational tools. To further this mission, we are seeking an experienced software engineer to join our multidisciplinary team of scientists and physicians. You will work with a passionate group that safely and fairly uses technology to solve real-world, clinically meaningful challenges in the field of anatomic pathology. As a mid/senior-level software engineer, you will work with our team to develop technologies aimed at storing, analyzing and serving large multiresolution and multispectral imaging data to investigators involved in both basic science research and clinical trials. Responsibilities • Work with bioinformatic researchers and physicians to develop and deploy clinical-grade systems focused on multiresolution (whole-slide) imaging., • Use DevOps framework and implement standards, processes, and controls for release and deployment activities., • Create and maintain technical documentation, including user guides, operational run books, and standard operating procedures., • Preferably with experience developing scientific software, including but not limited to software related to biomedical imaging and geographic information systems (GIS)., • Familiar with DevOps practices and version control systems (Git)., • Comfortable with shell scripting (bash) and markup languages (YML, XML, HTML)., • 5+ years of hands-on experience with programming languages like Python/Java., • 3+ years of experience building high-throughput and scalable RESTful APIs using Python frameworks (such as Flask, FastAPI, etc), • 3+ years of experience with database technologies such as MySQL, Postgres (PostGIS), MS SQL., • Familiar with high-performance computing platforms either on-premises (LSF, Slurm, etc) or on the cloud (especially AWS). Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

With a passion for life Join our diverse teams of passionate people and a career that allows you to develop both personally and professionally. At Getinge we exist to make life-saving technology accessible for more people. To make a true difference for our customers - and to save more lives, we need team players, forward thinkers, and game changers. Are you looking for an inspiring career? You just found it. Job Overview The Staff Human Factors Engineer is a key technical contributor responsible for leading usability engineering across the product lifecycle for cardiovascular surgical devices and systems. This role spans front-end innovation (ethnographic research, workflow analysis, opportunity framing, concept ideation, prototyping, and formative evaluation) and back-end validation (use-related risk analysis, labeling/UI development, clinical simulation, and summative/validation studies) to ensure products are safe, effective, and intuitive in complex clinical environments (OR/cath lab/ICU). The position partners closely with Systems Engineering, Design, Clinical, Marketing, Regulatory, Quality, and Software/Hardware teams to embed human factors and usability engineering into Design Controls and to meet FDA and global regulatory requirements (e.g., IEC 62366-1, ISO 14971). The Staff HFE will serve as a subject-matter resource for cardiovascular use environments, mentoring junior engineers and shaping the usability strategy across programs. Job Responsibilities and Essential Duties Front-End Innovation & Formative Research (35%) • Lead contextual inquiry, ethnography, and workflow mapping in cardiovascular surgery and interventional settings (OR, hybrid OR, cath lab)., • Translate insights into user needs, intended use, and use specifications; define user personas and critical tasks., • Drive concept ideation with cross-functional teams; create wireframes, storyboards, and low- to high-fidelity prototypes (software/hardware)., • Plan and execute formative evaluations (simulated-use, heuristic reviews, cognitive walkthroughs), synthesize findings, and iterate designs., • Lead use-related risk analysis (U-FMEA, task analysis, link to ISO 14971 hazard analysis); define critical user tasks and mitigations across labeling, UI, hardware controls, training, and software safeguards., • Ensure HF work products align with Design Controls (21 CFR 820.30) and maintain traceability from user needs risks design inputs verification/validation residual risk., • Plan and execute human factors validation (summative) studies per IEC 62366-1 and FDA HF guidance-including sample rationale, representative users, training decay, test protocols, and data analysis., • Develop labeling and IFU content; ensure clarity of critical information (warnings, precautions, steps, visuals)., • Author HF deliverables for regulatory submissions (e.g., HFE/UE Report, Use Specification, URRA, Critical Tasks, Protocols, Validation Results) supporting 510(k)/PMA/Technical File submissions., • Partner with Clinical, Marketing, and Design to prioritize unmet needs, value propositions, and KOL/stakeholder feedback., • Establish and continuously improve HFE methods, templates, and SOP/WI alignment with AAMI HE75, AAMI TIR50/51, IEC 60601-1-6, IEC 62366-2 guidance, and ISO 9241 best practices., • Mentor junior HF engineers; champion usability and patient/clinician safety while balancing business and technical constraints. Minimum Requirements • Bachelor's degree in Human Factors Engineering, Biomedical Engineering, Cognitive/Experimental Psychology, HCI/UX, Industrial Engineering, or related field required., • Master's degree preferred., • 8 years of experience in Human Factors/Usability Engineering for complex systems, preferably Class II/III medical devices., • Demonstrated experience with OR or interventional workflows strongly preferred (cardiovascular surgery, structural heart, electrophysiology, perfusion, imaging, pumps/dispensers, or energy devices)., • Track record delivering both formative and summative studies and authoring HFE documentation for regulatory submissions., • Deep knowledge of IEC 62366-1 (usability engineering for medical devices), FDA HF Guidance (2016, updates as applicable), AAMI HE75, AAMI TIR50/51, IEC 60601-1-6, ISO 14971, ISO 13485, and 21 CFR 820.30., • Proficiency in use-related risk analysis, task analysis, critical task identification, and linkage to risk controls across UI, labeling, training, and design features., • Expertise conducting formative and summative usability testing-protocols, IRB coordination (as needed), recruitment, moderation, data capture, and analysis., • Strong capability in UI/UX prototyping and design collaboration; familiarity with design tokens and component libraries a plus., • Comfortable working with requirements tools ; experience maintaining traceability to design inputs and risks., • Experience with clinical simulation environments (wet lab, benchtop, high-fidelity simulators) and human performance data capture., • Statistical literacy for HF studies (confidence intervals, error analysis, root cause analysis); proficiency with JMP, Minitab, or equivalent is a plus., • Excellent communication-clear documentation, visual storytelling, and the ability to influence decisions in a matrixed organization. #LI-YA2 #LI-Hybrid About us With a firm belief that every person and community should have access to the best possible care, Getinge provides hospitals and life science institutions with products and solutions aiming to improve clinical results and optimize workflows. The offering includes products and solutions for intensive care, cardiovascular procedures, operating rooms, sterile reprocessing and life science. Getinge employs over 12,000 people worldwide and the products are sold in more than 135 countries. Benefits at Getinge: At Getinge, we offer a comprehensive benefits package, which includes: • Health, Dental, and Vision insurance benefits, • 401k plan with company match, • Paid Time Off, • Wellness initiative & Health Assistance Resources, • Life Insurance, • Short and Long Term Disability Benefits, • Health and Dependent Care Flexible Spending Accounts, • Commuter Benefits, • Parental and Caregiver Leave, • Tuition Reimbursement Getinge is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, pregnancy, genetic information, national origin, disability, protected veteran status or any other characteristic protected by law.Reasonable accommodations are available upon request for candidates taking part in all aspects of the selection process.

A leading AI technology company is seeking a Senior Machine Learning Engineer to enhance their AI research-to-production pipeline. You will design tooling for model deployment, improve infrastructure for efficiency, and resolve production issues.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.As a Lead Software Engineer-Full Stack/Cloud Foundation Services at JPMorgan Chase within Corporate Technology's Research, Development, and Innovation team, you will play a critical

The easiest way to understand our research directions is to read our recent research. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Inter

Youll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

Software Engineer (C#) - Internal Tooling (AI Infrastructure). This is a fully remote contract role with meaningful technical scope - real production systems, high-impact workflows, and the kind of engineering problems that actually stretch your skills. Collaborate with data, research, and engineeri

As a machine learning researcher at Not Diamond, you’ll work closely with myself and our founding team to help define and execute our technical vision and contribute to a world-class research and engineering organization. Alejandro Companioni, founding engineer **Former senior MLE, Spotify, Stitch

Passion for building mission-critical, elegantly engineered, and scalable code following clean coding practices (SOLID, continuous refactoring, testing). As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm's IT infrastructure and engineering capabilitie

Anthropic's mission is to create reliable, interpretable, and steerable AI systems.We want AI to be safe and beneficial for our users and for society as a whole.Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build ben

The senior engineer will collaborate with a cross-functional team of developers and work closely with product development, quantitative research, technology infrastructure, production support and QA teams.

Responsibilities Provide lead engineer function in support of a wide range of design modification projects, equipment applications and failure research, engineering studies, and operations and maintenance activities. Review designs, calculations, specifications, and reports produced by other intern

Senior Windows Security Engineer - C#.New York, NY (Hybrid, 3 days in office).Highly competitive compensation package.Join an elite technology and research group at the forefront of global finance, where world-class engineering and quantitative research converge to solve some of the most complex pro

We are seeking an AI engineer intern to work closely with us to build custom software, internal tools, and workflow automations that improve research efficiency and decision-making. Experience with LLM workflows, developer tools, browser automation, or internal tooling. Prior internship, research, o

Our Research and Measurement team is looking for an AI Engineer. The AI Engineer is crucial for integrating sophisticated AI technologies, including generative AI, into our products and internal processes. AI Solutions Engineering: Develop and implement cutting-edge AI solutions to augment our produ

The research software engineer will be part of a growing community of Flatiron scientists and software engineers working on astronomical software, including Flatiron Software Research Fellows (postdocs), CCA-affiliated SCC scientists, and other research software engineers in CCA. The research softwa

A leading AI research company is seeking a Principal Security Engineer for its Infrastructure Security team.This role involves designing and implementing security controls across multi-cloud and datacenter environments to protect sensitive data and uphold security best practices.Ideal candidates wil

Mercor is seeking an Expert Engineer to create original engineering questions and evaluate their difficulty levels.You will be responsible for providing correct answers, step-by-step solutions, and academic references.A PhD or doctoral candidacy in Engineering is essential, with a strong command ove

As a Research Scientist/Engineer focused on honesty within the Finetuning Alignment team, you'll spearhead the development of techniques to minimize hallucinations and enhance truthfulness in language models.

Scale is uniquely positioned at the heart of the field of AI as an indispensable provider of training and evaluation data and end-to-end solutions for the ML lifecycle. Scale's ML platform (RLXF) team builds our internal distributed framework for large language model training and inference. You will

Quantitative Developer / Senior Research & Data Engineer - Systematic Trading. As a Quantitative Developer / Senior Research & Data Engineer, you will own critical infrastructure that directly powers systematic trading. Building integrated research environments where quantitative researchers develop

We are looking for a Research Scientist (Chemistry) to join our team to train AI models. Other related fields include, but are not limited to: Research and Development Chemist, Formulation Scientist, Development Chemist, Analytical Chemist, Chemical Engineer, Medicinal Chemist, Biochemist, Process D