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Sr. Distinguished Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. What you'll do in the role: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, C/C++ Leverage compute technologies such as Dask and RAPIDS Evangelize best practices in all aspects of the engineering and modeling lifecycles Help recruit, nurture, and retain top engineering talent Basic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 7 years of experience programming in C, C++, Python, or Scala At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: Master's Degree 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models 3+ years of experience using Dask, RAPIDS, or in High Performance Computing 3+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) Ability to communicate complex technical concepts clearly to a variety of audiences ML industry impact through conference presentations, papers, blog posts, or open source contributions Ability to attract and develop high-performing software engineers with an inspiring leadership style Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer Plano, TX: $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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 ; 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- 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).

Sr. Distinguished Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. What you'll do in the role: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, C/C++ Leverage compute technologies such as Dask and RAPIDS Evangelize best practices in all aspects of the engineering and modeling lifecycles Help recruit, nurture, and retain top engineering talent Basic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 7 years of experience programming in C, C++, Python, or Scala At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: Master's Degree 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models 3+ years of experience using Dask, RAPIDS, or in High Performance Computing 3+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) Ability to communicate complex technical concepts clearly to a variety of audiences ML industry impact through conference presentations, papers, blog posts, or open source contributions Ability to attract and develop high-performing software engineers with an inspiring leadership style Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer Plano, TX: $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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 ; 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- 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).

Distinguished Machine Learning Engineer - Bank Tech Overview: As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. Team Description We are seeking a Distinguished Machine Learning Engineer to partner with fraud, risk, data, and platform teams to advance the bank's proactive fraud prevention strategy, leveraging generative AI technologies to anticipate emerging threats, accelerate insight generation, and enhance decisioning at scale. This role will help shape how GenAI capabilities are responsibly applied across the organization to move from reactive detection to proactive, intelligence-driven fraud prevention. What you'll do in the role: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Provide guidance on the evaluation and adoption of generative AI techniques and tools, including LangChain, LangGraph, LLMs, RAG, MCP, embeddings, vector stores, and model orchestration frameworks. Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Drive adoption of proven generative AI patterns across teams by influencing platform design, standards, and technical direction. Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, C/C++ Leverage compute technologies such as Dask and RAPIDS Evangelize best practices in all aspects of the engineering and modeling lifecycles Help recruit, nurture, and retain top engineering talent Basic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 6 years of experience programming in C, C++, Python, or Scala At least 3 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: Master's Degree 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models 2+ years of experience using Dask, RAPIDS, or in High Performance Computing 2+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) Experience with one or multiple areas of AI technology stack including prompt engineering, guardrails, vector databases/knowledge bases, LLM fine-tuning, LLM Evaluation. Ability to communicate complex technical concepts clearly to a variety of audiences ML industry impact through conference presentations, papers, blog posts, or open source contributions Ability to attract and develop high-performing software engineers with an inspiring leadership style Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Distinguished Machine Learning Engineer Wilmington, DE: $244,700 - $279,200 for Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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 ; 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- 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 Distinguished 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 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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 ; 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- 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 Distinguished 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 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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 ; 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- 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).

Distinguished 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 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer Richmond, VA: $244,700 - $279,200 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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 ; 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- 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).

Distinguished AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: You will play a crucial role to architect and launch conversational experiences that are powered by state of art Generative AI capabilities to millions of Capital One customers 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, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field 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 on top 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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 ; 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- 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).

Distinguished AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: You will play a crucial role to architect and launch conversational experiences that are powered by state of art Generative AI capabilities to millions of Capital One customers 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, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field 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 on top 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: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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 ; 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- 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 Distinguished 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 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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 ; 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- 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).

Sr. Distinguished 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 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or related Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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 ; 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- 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).

Sr. Distinguished 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 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or related Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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 ; 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- 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).

Sr. Distinguished 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 10 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 8 years of experience developing AI and ML algorithms or technologies At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or related Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the 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 ; 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- 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).

Auria is a provider of solutions and software in support of complex Space, National Security, and Cyber missions of federal, international, and commercial customers. Headquartered in Colorado Springs, CO our success is built on the excellence of diverse teams advancing innovative systems and operational software to strengthen our customers' missions. With a distinguished track record and a spirit of relentless pursuit, and R&D, we set the pace for progress and execute every mission with the utmost precision. Auria is seeking a Chief Engineer to join our outstanding team in a hybrid position based in Colorado. The Chief Engineer will lead the development and maturation of advanced software solutions You will be the chief technical authority that works closely with Program Management and technical SMEs to develop software solutions for critical space assets. WHAT YOU CAN EXPECT TO DO: Software Development - Engage in the entire development lifecycle, from requirement analysis to post-production support, ensuring quality and consistency. Prototype Development - Develop prototypes and proofs-of-concept as assigned by program management and participate in Agile ceremonies, code reviews, testing, and debugging to maintain high software standards. Participate in system design and delivery decisions with understanding of space domain operations, ground enterprise architecture, and MWT mission needs. Documentation and Communication - Produce essential system documentation and effectively communicate complex technical details to various stakeholders, ensuring clarity and understanding. Recommend Future Improvements - Communicate with system engineers and the software architect to proactively identify areas of improvement within software applications and recommend solutions to enhance functionality and the user experience. Collaboration and Continuous Improvement - Collaborate closely with interdisciplinary teams to define and implement innovative software solutions for space and communications projects. WHAT THE TEAM REQUIRES: Active U.S. Government SECRET security clearance (requires U.S. Citizenship) Experience in software development, with demonstrated proficiency in C++, Java / Groovy, or Python coding languages and experience with common development environments and tools such as Visual Studio, Eclipse, or IntelliJ. Experience implementing security concepts into code to create and deploy security-oriented services and products. Extensive experience with Model-Based Systems Engineering (MBSE), including using Cameo, SysML, other and industry-standard MBSE methodologies to develop and document complex system architectures and requirements. At least 3+ years experience designing and implementing DOD space systems and subsystems, including systems, products, and interfaces across ground and space components. Fundamental knowledge of software development best practices, methodologies, and frameworks. Familiarity with source control systems (e.g., GitLab) and an understanding of branching strategies, commit conventions, and collaborative development best practices. Ability to create clear and comprehensive system documentation, including design descriptions, requirements specifications, test plans, user guides, and other engineering documents. Experience working in an Agile/Scrum team using tools to assist system development, such as Jira and Confluence. Familiarity with the Overhead Persistent Infrared (OPIR) mission and/or satellite ground systems. WHAT THE TEAM PREFERS: Experience with real-time systems or embedded software development, which includes an understanding of constraints with hardware, optimization for computational efficiency, and familiarity with common platforms and tools used in aerospace software development. Familiarity with communication protocols and standards specific to space and communication systems, such as telemetry and command interfaces and satellite link protocols. Understanding of the challenges associated with space communications, such as latency, error corrections, and adverse effects on transmissions. PAY TRANSPARENCY: The salary offered will be based on the selected candidate's qualifications - skills, education & experience - and the position level. $190,000 - $215,000 APPLICATION DEADLINE: April 15, 2026 Why You'll Love Working at Auria We believe our team does their best work when they are well-supported, financially secure, and have the freedom to balance life outside of the office. Time for What Matters Generous & Growing PTO: Start with a substantial paid time off package that increases every year you're with us. True Flexibility: Contract permitting, use Flex Time to work in a way that fits your life, not just your 8-to-5. 11 Paid Days Off: Enjoy 6 fixed company holidays plus 5 Floating Holidays to use whenever you choose. Invested in Your Future 401(k) Match -Yours to Keep Instantly: We match up to 4% of your contributions . B oth your contributions and the company match are yours from day one with no vesting wait-period. Industry-Leading Education Support: Level up with up to $12,000 annually for tuition and certifications. We don't just hire talent; we grow it. Health & Peace of Mind Premium Healthcare, Lower Costs: High-quality medical plans paired with a Company-Sponsored HSA to help you save for the future. Fully Covered Life Insurance: Breathe easy with life insurance up to $50K provided at zero cost to you. Holistic Support: Access our Employee Assistance Program (EAP) for mental health, financial coaching, and more. and that's just the beginning! Auria is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, marital status, national origin, age, veteran status, disability, or any other protected class. Compensation details: 00 Yearly Salary PI0077dfdd06cd-2930

Auria is a provider of solutions and software in support of complex Space, National Security, and Cyber missions of federal, international, and commercial customers. Headquartered in Colorado Springs, CO our success is built on the excellence of diverse teams advancing innovative systems and operational software to strengthen our customers' missions. With a distinguished track record and a spirit of relentless pursuit, and R&D, we set the pace for progress and execute every mission with the utmost precision. Auria is seeking a Chief Engineer to join our outstanding team in a hybrid position based in Colorado. The Chief Engineer will lead the development and maturation of advanced software solutions You will be the chief technical authority that works closely with Program Management and technical SMEs to develop software solutions for critical space assets. WHAT YOU CAN EXPECT TO DO: Software Development - Engage in the entire development lifecycle, from requirement analysis to post-production support, ensuring quality and consistency. Prototype Development - Develop prototypes and proofs-of-concept as assigned by program management and participate in Agile ceremonies, code reviews, testing, and debugging to maintain high software standards. Participate in system design and delivery decisions with understanding of space domain operations, ground enterprise architecture, and MWT mission needs. Documentation and Communication - Produce essential system documentation and effectively communicate complex technical details to various stakeholders, ensuring clarity and understanding. Recommend Future Improvements - Communicate with system engineers and the software architect to proactively identify areas of improvement within software applications and recommend solutions to enhance functionality and the user experience. Collaboration and Continuous Improvement - Collaborate closely with interdisciplinary teams to define and implement innovative software solutions for space and communications projects. WHAT THE TEAM REQUIRES: Active U.S. Government SECRET security clearance (requires U.S. Citizenship) Experience in software development, with demonstrated proficiency in C++, Java / Groovy, or Python coding languages and experience with common development environments and tools such as Visual Studio, Eclipse, or IntelliJ. Experience implementing security concepts into code to create and deploy security-oriented services and products. Extensive experience with Model-Based Systems Engineering (MBSE), including using Cameo, SysML, other and industry-standard MBSE methodologies to develop and document complex system architectures and requirements. At least 3+ years experience designing and implementing DOD space systems and subsystems, including systems, products, and interfaces across ground and space components. Fundamental knowledge of software development best practices, methodologies, and frameworks. Familiarity with source control systems (e.g., GitLab) and an understanding of branching strategies, commit conventions, and collaborative development best practices. Ability to create clear and comprehensive system documentation, including design descriptions, requirements specifications, test plans, user guides, and other engineering documents. Experience working in an Agile/Scrum team using tools to assist system development, such as Jira and Confluence. Familiarity with the Overhead Persistent Infrared (OPIR) mission and/or satellite ground systems. WHAT THE TEAM PREFERS: Experience with real-time systems or embedded software development, which includes an understanding of constraints with hardware, optimization for computational efficiency, and familiarity with common platforms and tools used in aerospace software development. Familiarity with communication protocols and standards specific to space and communication systems, such as telemetry and command interfaces and satellite link protocols. Understanding of the challenges associated with space communications, such as latency, error corrections, and adverse effects on transmissions. PAY TRANSPARENCY: The salary offered will be based on the selected candidate's qualifications - skills, education & experience - and the position level. $190,000 - $215,000 APPLICATION DEADLINE: April 15, 2026 Why You'll Love Working at Auria We believe our team does their best work when they are well-supported, financially secure, and have the freedom to balance life outside of the office. Time for What Matters Generous & Growing PTO: Start with a substantial paid time off package that increases every year you're with us. True Flexibility: Contract permitting, use Flex Time to work in a way that fits your life, not just your 8-to-5. 11 Paid Days Off: Enjoy 6 fixed company holidays plus 5 Floating Holidays to use whenever you choose. Invested in Your Future 401(k) Match -Yours to Keep Instantly: We match up to 4% of your contributions . B oth your contributions and the company match are yours from day one with no vesting wait-period. Industry-Leading Education Support: Level up with up to $12,000 annually for tuition and certifications. We don't just hire talent; we grow it. Health & Peace of Mind Premium Healthcare, Lower Costs: High-quality medical plans paired with a Company-Sponsored HSA to help you save for the future. Fully Covered Life Insurance: Breathe easy with life insurance up to $50K provided at zero cost to you. Holistic Support: Access our Employee Assistance Program (EAP) for mental health, financial coaching, and more. and that's just the beginning! Auria is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, marital status, national origin, age, veteran status, disability, or any other protected class. Compensation details: 00 Yearly Salary PI0077dfdd06cd-2930

Auria is a provider of solutions and software in support of complex Space, National Security, and Cyber missions of federal, international, and commercial customers. Headquartered in Colorado Springs, CO our success is built on the excellence of diverse teams advancing innovative systems and operational software to strengthen our customers' missions. With a distinguished track record and a spirit of relentless pursuit, and R&D, we set the pace for progress and execute every mission with the utmost precision. Auria is seeking a Chief Engineer to join our outstanding team in a hybrid position based in Colorado. The Chief Engineer will lead the development and maturation of advanced software solutions You will be the chief technical authority that works closely with Program Management and technical SMEs to develop software solutions for critical space assets. WHAT YOU CAN EXPECT TO DO: Software Development - Engage in the entire development lifecycle, from requirement analysis to post-production support, ensuring quality and consistency. Prototype Development - Develop prototypes and proofs-of-concept as assigned by program management and participate in Agile ceremonies, code reviews, testing, and debugging to maintain high software standards. Participate in system design and delivery decisions with understanding of space domain operations, ground enterprise architecture, and MWT mission needs. Documentation and Communication - Produce essential system documentation and effectively communicate complex technical details to various stakeholders, ensuring clarity and understanding. Recommend Future Improvements - Communicate with system engineers and the software architect to proactively identify areas of improvement within software applications and recommend solutions to enhance functionality and the user experience. Collaboration and Continuous Improvement - Collaborate closely with interdisciplinary teams to define and implement innovative software solutions for space and communications projects. WHAT THE TEAM REQUIRES: Active U.S. Government SECRET security clearance (requires U.S. Citizenship) Experience in software development, with demonstrated proficiency in C++, Java / Groovy, or Python coding languages and experience with common development environments and tools such as Visual Studio, Eclipse, or IntelliJ. Experience implementing security concepts into code to create and deploy security-oriented services and products. Extensive experience with Model-Based Systems Engineering (MBSE), including using Cameo, SysML, other and industry-standard MBSE methodologies to develop and document complex system architectures and requirements. At least 3+ years experience designing and implementing DOD space systems and subsystems, including systems, products, and interfaces across ground and space components. Fundamental knowledge of software development best practices, methodologies, and frameworks. Familiarity with source control systems (e.g., GitLab) and an understanding of branching strategies, commit conventions, and collaborative development best practices. Ability to create clear and comprehensive system documentation, including design descriptions, requirements specifications, test plans, user guides, and other engineering documents. Experience working in an Agile/Scrum team using tools to assist system development, such as Jira and Confluence. Familiarity with the Overhead Persistent Infrared (OPIR) mission and/or satellite ground systems. WHAT THE TEAM PREFERS: Experience with real-time systems or embedded software development, which includes an understanding of constraints with hardware, optimization for computational efficiency, and familiarity with common platforms and tools used in aerospace software development. Familiarity with communication protocols and standards specific to space and communication systems, such as telemetry and command interfaces and satellite link protocols. Understanding of the challenges associated with space communications, such as latency, error corrections, and adverse effects on transmissions. PAY TRANSPARENCY: The salary offered will be based on the selected candidate's qualifications - skills, education & experience - and the position level. $190,000 - $215,000 APPLICATION DEADLINE: April 15, 2026 Why You'll Love Working at Auria We believe our team does their best work when they are well-supported, financially secure, and have the freedom to balance life outside of the office. Time for What Matters Generous & Growing PTO: Start with a substantial paid time off package that increases every year you're with us. True Flexibility: Contract permitting, use Flex Time to work in a way that fits your life, not just your 8-to-5. 11 Paid Days Off: Enjoy 6 fixed company holidays plus 5 Floating Holidays to use whenever you choose. Invested in Your Future 401(k) Match -Yours to Keep Instantly: We match up to 4% of your contributions . B oth your contributions and the company match are yours from day one with no vesting wait-period. Industry-Leading Education Support: Level up with up to $12,000 annually for tuition and certifications. We don't just hire talent; we grow it. Health & Peace of Mind Premium Healthcare, Lower Costs: High-quality medical plans paired with a Company-Sponsored HSA to help you save for the future. Fully Covered Life Insurance: Breathe easy with life insurance up to $50K provided at zero cost to you. Holistic Support: Access our Employee Assistance Program (EAP) for mental health, financial coaching, and more. and that's just the beginning! Auria is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, marital status, national origin, age, veteran status, disability, or any other protected class. Compensation details: 00 Yearly Salary PI6e3ac45a5-

Job Title: Systems & Network Infrastructure Engineer Location: Reno, NV & Walnut Creek, CA (Onsite) Duration:12 Months Contract Job Description: Network Engineer is a senior level engineering position within IT Services. The engineer is expected to provide technical leadership in supporting ITS's systems and network infrastructure in support of business operations. The engineer is expected to have expert level knowledge of technical architecture and infrastructure components (hardware, systems software, network topology and configuration). The engineer is expected to play a role in the evaluation, selection, design, and delivery of technical solutions to support application development projects and/or that support the technical infrastructure, while adhering to industry standards and best practices. This person is expected to be able to assign tasks and monitor the work of less senior engineers. Required Skills: • Hardware, operating systems, systems software, and communications technologies including VMware virtualization, RH Linux, Windows Server 2016+, and Intel-based servers. • Storage systems and applications including RAID, NAS, SAN, Veeam backup software. • Systems and network monitoring tools such as Logic Monitor, Datadog, etc. • Network technologies and products including Cisco routers, Cisco switches, Fortinet SD-WAN, TCP/IP, SMTP, SNMP, and Cisco Meraki wireless communications. • Email, collaboration, and office productivity tools such as Microsoft 365 and 8x8. • Security tools including Active Directory, Azure AD, Fortinet firewalls, Crowdstrike Falcon, Microsoft Defender 365, SIEM tools. • IT Service Management tools such as ServiceNow • Building and operating standardized/normalized, automated, secure, and self-service cloud platforms for engineering teams, Infrastructure as Code (IaC), and DevSecOps. Experience in Azure is highly desirable. • Bachelor's degree from a four-year college or university • Additional professional and management education is highly desirable. • 10+ years of experience as a senior systems and network engineer • Strong background in infrastructure technologies, have experience in a similar technical role in a multi-billion dollar global corporation, and possess evidence of distinguished performance in leading enterprise-wide technology and process transformations. ESSENTIAL JOB FUNCTIONS • Hands-on experience in ITS' technologies. Exhibits initiative to learn new technologies related to ITS's target architecture. • Designs enterprise-wide infrastructure solutions and their specifications and configuration. • Possesses a deep understanding of ITS's enterprise architecture, server and network hardware, network design, systems software and tools, and vendors. • Relied upon as an expert in relevant technical subject areas. Expert level skills in conducting evaluations and selection of new products and technologies being considered for use. • Able to apply business knowledge and insights to design sound solutions. Continually seeks to expand on business knowledge. • Provide 24X7 support for telecommunications, wired and wireless networking, computing &, storage infrastructure, and Azure cloud platform. • Implement necessary information security controls for all infrastructure components. • Work with vendors and service providers to ensure services are provided in an efficient and effective manner. • Communicate well in a small group setting. Able to present technical ideas and influence outcomes. • Proactive in providing input to principal-level engineers and/or managers with respect to technical issues or decisions under consideration. • Provides leadership in proactively recognizing and resolving issues. Continually strives to improve ITS's technical infrastructure and make improvements in processes and practices. • Works independently without supervision. Can be relied upon to deliver quality work. • Engage staff at all levels efficiently. Assign tasks and monitor the work of less senior engineers. • Perform On-Call responsibilities for production support of ITS enterprise infrastructure as needed. • This may be required on off-hours or on weekends. • Performs special projects as assigned. Thanks & Regards Vineeth Damarla Sr. BDM Delivery Manager

Category:: Faculty Subscribe:: Department:: Watson College of Engineering and Applied Science Locations:: Binghamton, NY Posted:: Dec 3, 2025 Closes:: Open Until Filled Type:: Full-time Ref. No.:: 1195 Position ID:: 195278 About Binghamton University: Binghamton University is a premier public R1 research institution in the State University of New York (SUNY) system that unites more than 130 broadly interdisciplinary educational programs with some of the most vibrant research in the nation. Our unique character - shaped by our mission, outstanding academics, facilities, and community life - promotes extraordinary student success, research, and service; Binghamton University is where our students, faculty and staff thrive. Working at Binghamton University is more than about having a great job - it is about having the opportunity to flourish in an exciting, engaging environment. Our faculty and staff appreciate Binghamton's collegial and inclusive culture and its commitment to excellence, education, innovation, and civic engagement. Our diverse campus community contributes to our success. Binghamton merges rigorous academics, distinguished faculty who value cutting-edge, and community-engaged research, teaching and service, exceptional staff, and ultramodern facilities to engage and challenge its 18,000+ students. Our high-achieving student body represents diverse experiences from first-generation college-goers to international students. Beyond their talent, these classmates share a desire to shape the future through technology, insight, intellectual exploration, and community service. Job Description: Binghamton University is nationally recognized for its leadership in microelectronic systems, semiconductors, and advanced packaging, leveraging a comprehensive ecosystem of research centers, state-of-the-art facilities, and industry partnerships. The Small Scale Systems Integration and Packaging (S3IP) center at Binghamton is a New York State Center of Excellence that houses multiple specialized centers, including the Center for Heterogeneous Integration Research in Packaging (CHIRP), Center for Advanced Microelectronics Manufacturing (CAMM), Integrated Electronics Engineering Center (IEEC), Energy Smart Electronic Systems (ES2) center, and Analytical and Diagnostic Laboratory (ADL). Our faculty members and scientists conduct sponsored research in advanced packaging, heterogeneous integration, semiconductor manufacturing and materials, flexible electronics, energy efficient electronics, and process optimization, among others. Since 1996, their research efforts have generated over $1.9 billion in economic impact for New York State, supported by collaborations with over 75 companies, including IBM, AMD, NVIDIA, Google, Intel, General Electric, Lockheed Martin, and GlobalFoundries. The Thomas J. Watson College of Engineering and Applied Science at Binghamton University invites applications from experts in Microelectronics for a tenured faculty position at the Full Professor level. This position will carry the title of Professor of Empire Innovation, and is supported in part by SUNY's Empire Innovation Program (EIP), a key initiative to recruit and retain faculty with an established track record of research and scholarship in areas of strategic priority. We are seeking a well-established expert who has a track record of leadership in funded research and scholarship in one or more areas of Microelectronics, including: Codesign for Heterogeneous Integration/Advanced Packaging: (a) EDA tools for chiplet integration or chiplet system design, including applied AI/ML techniques for microelectronics co-design, and (b) modeling for co-design with crosscutting considerations of the chiplet system architecture, thermal and mechanical issues, materials and reliability Digital Twinning for Semiconductor Manufacturing and Packaging (SMP): Process optimizations for SMP across lithography, device and chiplet fabrication, chiplet integration/assembly, material choices and materials synthesis for improving manufacturing yield Semiconductor Lifecycle Impact Reduction: Sustainable microelectronics manufacturing across the entire product lifecycle using use of eco-friendly materials, minimizing the use of hazardous chemicals (e.g., PFAS), energy-efficient processes, circular economy models, utilizing lifecycle assessment tools, and end-of-life microelectronics waste planning and management As a Professor of Empire Innovation, the successful candidate must have an established record of securing funding from federal/state agencies and industry. They will be expected to lead in pursuing large funding opportunities from federal and state agencies besides industry partners and enhance the collaborative research ecosystem involving multiple campus units across Binghamton University. The successful hire would also help recruit and attract top talent to complement existing strengths. Depending on the specialization and match, the successful candidate could be a tenured faculty in the Electrical and Computer Engineering (ECE) Department, the Mechanical Engineering (ME) Department, the School of Computing (CS), or the School of System Science and Industrial Engineering (SSIE). The successful candidate will receive a comprehensive startup package including competitive salary compensation and benefits commensurate with qualifications and experience. Requirements: A doctoral degree in Engineering, Computer Science, or a closely related discipline Proven record of research leadership in cross-cutting multi-institutional collaborative teams Proven record of sponsored research funding from federal and state agencies Proven record of peer-reviewed high-impact publications Experience as an educator and research mentor at the undergraduate and/or graduate level Preferred: Significant scholarly work and contributions within one or more of the focus areas of: Codesign for Heterogeneous Integration/Advanced Packaging Digital Twinning for Semiconductor Manufacturing and Packaging Semiconductor Lifecycle Impact Reduction. Potential for leading multi-disciplinary research in Microelectronics across different departments and schools of Watson College. Please be advised that H1B visa sponsorship may not be available for this position. Additional Information: Binghamton University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, please contact the ADA Coordinator by completing the following Request Form . The State University of New York is an Equal Opportunity/Affirmative Action Employer. It is the policy of Binghamton University to provide for and promote equal opportunity employment, compensation, and other terms and conditions of employment without discrimination on the basis of age, race, color, religion, disability, national origin, gender identity or expression, sexual orientation, veteran or military service member status, marital status, domestic violence victim status, genetic predisposition or carrier status, or arrest and/or criminal conviction record unless based upon a bona fide occupational qualification or other exception. As required by title IX and its implementing regulations, Binghamton University does not discriminate on the basis of sex in the educational programs and activities which it operates. This requirement extends to employment and admission. Inquiries about sex discrimination may be directed to the University Title IX Coordinator or directly to the Office of Civil Rights (OCR). Contact information for the Title IX Coordinator and OCR, as well as the University's complete Non-Discrimination Notice may be found here. Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the Governor's Office of Employee Relations at or via email at . Binghamton University is a tobacco-free campus effective August 1, 2017. Offers of employment will be contingent upon successful completion of a pre-employment background check and verification of degree(s) and credentials. Application Instructions: All applicants must apply via Interview Exchange: Review of applications will begin immediately and continue until the vacancy is filled. After filling out contact information, you will be directed to an upload page where you must submit: a cover letter, a curriculum vitae, a statement of research interests, a statement of teaching interests, a diversity statement, and names and contact information of three references. Deadline for Applicants: Open until filled. To check/edit your profile or to upload additional documents, please log into

Program Analyst (7398) Job 82113 - Berkeley Institute for Data Science (BIDS) About Berkeley At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff. As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value. We are looking for applicants who reflect California's diversity and want to be part of an inclusive, equity-focused community that views education as a matter of social justice. Please consider whether your values align with our Guiding Values and Principles , Principles of Community , and Strategic Plan . At UC Berkeley, we believe that learning is a fundamental part of working, and provide space for supportive colleague communities via numerous employee resource groups (staff organizations). Our goal is for everyone on the Berkeley campus to feel supported and equipped to realize their full potential. We actively support this by providing all of our full-time staff employees with at least 80 hours (10 days) of paid time per year to engage in professional development activities. Find out more about how you can grow your career at UC Berkeley. Departmental Overview The Berkeley Institute for Data Science (BIDS - ) was founded in 2013 to build on Berkeley's strength in data science with a multidisciplinary emphasis. BIDS aims to facilitate and enhance the development and application of cutting-edge data science techniques in the biological, physical, social, and engineering sciences. Today, BIDS is part of the new College of Computing, Data Science and Society (CDSS), where it serves as a hub for interdisciplinary research, tool development, and exchange of ideas between methodologies in computing, statistics, and AI. BIDS connects with domain experts from across the entire disciplinary spectrum on campus, and hosts collaborations with local and national partners, including Lawrence Berkeley National Lab and NASA, within the unique intellectual ecosystem of Berkeley. As CDSS further advances UC Berkeley's eminence in Data Science research and education, BIDS serves as a central hub connecting scholars on campus, as well as reaching out to other Berkeley institutions, including LBNL, the Simons Laufer Mathematical Sciences Institute, the Space Sciences Laboratory, the International Computer Science Institute, and the SkyDeck Startup Incubator. BIDS' expertise in open-source tool development and open science makes it an ideal place to be a home for communities of practice around open knowledge, at a time when both open-source software is becoming the norm for research computing and when open science ideas are becoming part of national science policies across multiple agencies. From this perspective, BIDS will help scholars from different fields to find shared needs, interests, and ideas and build new collaborations. BIDS also aims to foster conversations regarding the role of Science and Society in the development of new tools and systems for AI. As a discipline-neutral environment, it will provide open space for emerging work ranging from the representation of scientific knowledge in AI models and the use of AI as a scientific instrument, to explorations with social scientists and humanists of questions at the intersection of the human experience, our social context, and the role of AI in our lives. Reporting to the Assistant Dean for Interdisciplinary Initiatives, the Program Analyst manages a wide variety of analyses, strategies, and implementations to support the development and success of interdisciplinary initiatives in CDSS. The PA works closely with members of the Dean's Cabinet and centers and institutes within and affiliated with CDSS. Implements strategic initiatives for the college, including the Dean's Distinguished Lecture series and the State of the Planet Lectures Series, as well as staffing and research for a variety of committees, working groups, and task forces. The Program Analyst collaborates closely with faculty and staff of CDSS interdisciplinary units to support key objectives. This individual integrates input and lessons learned from across campus to understand the relative opportunities and challenges associated with new programs, such as research initiatives and corporate engagement strategy; works with key stakeholders to develop and implement the initiative. Manages a wide variety of internal and public-facing programs, including awards, lectures, and research convenings, especially related to core themes, including environment, social wellbeing, and human health. Application Review Date The First Review Date for this job is: 11/10/25 - Open until filled Responsibilities 20% Proposes and provides staffing for policy and planning committees, task forces, and working groups to meet the academic and operational goals of the college's interdisciplinary mission. Provides analysis and committee support for strategic and ad hoc efforts, including industry engagement, funding strategy, and efforts around CDSS research themes. Implements actions and events as recommended. Collaborates with the leadership of key units and programs, such as the Berkeley Institute for Data Science (BIDS), the Bakar Institute of Digital Materials for the Planet (BIDMaP), and others. 10% Proposes a strategy for programmatic and structural needs to promote interdisciplinary collaboration, specifically related to faculty-defined priorities for interdisciplinary research and identified intellectual themes. Incorporates recommendations from faculty committees, center directors, and individuals. Coordinates with faculty experts and stakeholders to generate content. 15% Performs ad hoc, analytical studies as needed for the wide variety of programs and complex issues for the wide variety of topics that faculty committees are handling. Determines, in collaboration with committee chairs, what materials will be constructive in advance of meetings and in follow-up; prepares materials and distributes to maximize committee productivity and limit faculty administrative burden. Provides analyses of internal and external corporate engagement programs as benchmarks. Performs budget, financial, academic, data, and systems analysis. Collaborates with executive leadership, academic leadership, program coordinators, and managers, to enhance corporate engagement strategy, communication, and implementation in CDSS. 15% Develops proposals to fund programming in collaboration with college leadership and/or leadership of interdisciplinary centers and institutes, and involved faculty. For philanthropic proposals, collaborates closely with Development. Researches complex programs, benchmarks similar processes, distils scientific data, and communicates plans clearly in writing. 15% Collaborates with events staff, faculty committees, faculty stakeholders, and the college leadership team to plan lectures and events. Liaises between faculty committees, which will set objectives, and the events staff to meet the objectives of each event. Coordinates implementation with cross-organizational departments or external entities. Prepares briefings, content, draft questions for panels, and talking points or scripts for leadership, including the dean. Establishes and maintains contacts internally and with external constituents for the collection and exchange of data. 5% Conducts post-implementation analysis to determine the need for further enhancements, finer distinctions, and/or additional process/policy components for the purpose of maintaining and improving event quality and stakeholder engagement over time. Tracks progress and prepares reports, including donor reports, in collaboration with development, to document results, including for donor-funded lectures and events. 5% Researches and summarizes best practices among peers on and off campus. Develops process and procedures handbooks to increase efficiency and process understanding, facilitates staff and faculty objectives when working through relevant processes, and promotes process transparency and increased understanding of best practices. Conducts programmatic benchmarks. 5% Research, monitors and analyzes regulations, legislation, research literature, and UC policies for a variety of needs within the college, such as preparing draft RFI responses to funding agencies. Prepares directives, regulations, technical guidance, and other instructions for issuance to stakeholders. 5% Develops scope of work, budgets, and reports for project requirements. 5% Other duties as assigned. Required Qualifications Knowledge of common organization, or research-specific, and other computer application programs. Excellent communication and interpersonal skills to communicate effectively, both verbally and in writing. Ability to use discretion and maintain all confidentiality. Analytical / problem-solving skills. Strong skills in analyzing, researching, and synthesizing large amounts of data for preparing sound and relevant proposals/analyses. Ability to multi-task with demanding timeframes. Strong policy analysis techniques. Ability to anticipate workflows and timing, generate workplaces, and prioritize. Ability to observe group dynamics and assess strategies for communication. . click apply for full job details

Category:: Faculty Subscribe:: Department:: School of Computing Locations:: Binghamton, NY Posted:: Dec 1, 2025 Closes:: Open Until Filled Type:: Full-time Ref. No.:: 13524 Position ID:: 195195 About Binghamton University: Binghamton University is a premier public R1 research institution in the State University of New York (SUNY) system that unites more than 130 broadly interdisciplinary educational programs with some of the most vibrant research in the nation. Our unique character - shaped by our mission, outstanding academics, facilities, and community life - promotes extraordinary student success, research, and service; Binghamton University is where our students, faculty and staff thrive. Working at Binghamton University is more than about having a great job - it is about having the opportunity to flourish in an exciting, engaging environment. Our faculty and staff appreciate Binghamton's collegial and inclusive culture and its commitment to excellence, education, innovation, and civic engagement. Our diverse campus community contributes to our success. Binghamton merges rigorous academics, distinguished faculty who value cutting-edge, and community-engaged research, teaching and service, exceptional staff, and ultramodern facilities to engage and challenge its 18,000+ students. Our high-achieving student body represents diverse experiences from first-generation college-goers to international students. Beyond their talent, these classmates share a desire to shape the future through technology, insight, intellectual exploration, and community service. Job Description: Department Overview Binghamton University is one of four University Centers in the State University of New York System and an R1 research institute. Binghamton University was recently named a Top 10 Public Ivy by Forbes. The School of Computing (formerly Computer Science Department) has well established Ph.D. and M.S. programs, an accredited B.S. program in Computer Science, and an M.S. program in Information Systems. The School of Computing is ranked between 201 - 250 in the world by the recent THE (Times Higher Education) world ranking. The School currently has 51 full-time faculty members, about 800 undergraduate students, about 700 MS students and about 90 PhD students. The NSF industry-university collaborative research center on energy-smart electronic systems and local high-tech companies such as IBM, Lockheed-Martin and BAE provide opportunities for collaboration. The university has a Data Science Transdisciplinary Area of Excellent (TAE), which will provide opportunities for collaboration across the entire campus. Binghamton University was recently designated as a National Center of Academic Excellence in Cyber Defense Research (CAE-R) by the National Security Agency and the Department of Homeland Security, and was also selected as an NSF CyberCorp Scholarship for Service (SFS) site. Our faculty members excel in research in the areas of computer systems, artificial intelligence and cybersecurity and have a significant record of success, with eight faculty members receiving the NSF CAREER Award in the past four years and significant annual research funding from a variety of agencies. The Binghamton University Institute for AI and Society, established under the SUNY STRIVE Artificial Intelligence strategic plan, addresses the transformational impact of AI on society through high-impact socio-technical research. The Institute integrates cross-disciplinary strengths across AI technology, community engagement, arts, social sciences, education, and healthcare to advance safe, secure, and ethical AI innovations. As a member of the Empire AI Consortium, researchers have access to state-of-the-art computational infrastructure, including large-scale GPU clusters and high-performance computing resources. The Institute has established research excellence in robotics and embodied-AI, safety and security, misinformation and inauthentic online behavior, as well as socio-technical analysis of emerging platforms, positioning faculty to tackle critical problems at the intersection of AI and society. Job Description The School of Computing in the Thomas J. Watson College of Engineering and Applied Science at Binghamton University (The State University of New York at Binghamton) invites applications for a tenure-track positions at the Assistant and Associate Professor level with an expected start date of September 1, 2026. We are looking for candidates in the area of AI and Society. We invite candidates in areas including, but not limited to: AI Safety, Trustworthiness, and Adversarial Systems: Research on adversarial manipulation of AI systems, bot detection, coordinated inauthentic behavior, platform integrity, and mechanisms for building robust and trustworthy AI systems at scale. Computational Social Science and Online Harms: Large-scale empirical analysis of online communities, toxic behavior, hate speech, harassment campaigns, radicalization pathways, and the socio-technical dynamics of fringe and mainstream social media. Misinformation, Disinformation, and Information Integrity: Detection and analysis of coordinated information operations, low-credibility content propagation, generative AI misuse for deception, and interventions for maintaining information ecosystem health. AI Systems and Societal Impact in Diverse Domains: Research on bias, fairness, and demographic representation in AI/ML systems; algorithmic accountability; healthcare; critical infrastructure; and the downstream effects of AI deployment in high-stakes social contexts. Machine Learning for Social Computing: Development of scalable ML methods for social media analysis, natural language processing for content moderation, and large-scale data mining of online behavior. The School of Computing and the Watson College are dedicated to the goal of building a diverse and inclusive teaching, research, and working environment. We are particularly interested in candidates with a commitment to diversity and inclusiveness. Historically underrepresented minorities, women, persons with disabilities, and veterans, are encouraged to apply. Requirements: Minimum Qualifications (Required) 1. Must have a Ph.D. in computer science or a relevant field by September 1, 2026 2. Record of research Preferred Qualifications (Optional) The following qualifications are preferred but not required: 1. College-level teaching experience. 2. Educational or teaching experience in a U.S.-based setting. Please be advised that H1B visa sponsorship may not be available for this position. Additional Information: Binghamton University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, please contact the ADA Coordinator by completing the following Request Form . The State University of New York is an Equal Opportunity/Affirmative Action Employer. It is the policy of Binghamton University to provide for and promote equal opportunity employment, compensation, and other terms and conditions of employment without discrimination on the basis of age, race, color, religion, disability, national origin, gender identity or expression, sexual orientation, veteran or military service member status, marital status, domestic violence victim status, genetic predisposition or carrier status, or arrest and/or criminal conviction record unless based upon a bona fide occupational qualification or other exception. As required by title IX and its implementing regulations, Binghamton University does not discriminate on the basis of sex in the educational programs and activities which it operates. This requirement extends to employment and admission. Inquiries about sex discrimination may be directed to the University Title IX Coordinator or directly to the Office of Civil Rights (OCR). Contact information for the Title IX Coordinator and OCR, as well as the University's complete Non-Discrimination Notice may be found here. Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the Governor's Office of Employee Relations at or via email at . Binghamton University is a tobacco-free campus effective August 1, 2017. Offers of employment will be contingent upon successful completion of a pre-employment background check and verification of degree(s) and credentials. Application Instructions: To apply, submit the following documents via Interview Exchange: Cover letter (at the beginning of your cover letter please provide a single sentence indicating your primary teaching and primary research interest areas) Curriculum Vitae (CV) Teaching statement Research statement Diversity statement (which describes your experience and evidence of teaching a diverse population of students, including first generation students . click apply for full job details

Category:: Faculty Subscribe:: Department:: Department of Electrical and Computer Engineering Locations:: Binghamton, NY Posted:: Dec 12, 2025 Closes:: Open Until Filled Type:: Full-time Ref. No.:: 728 Position ID:: 195629 About Binghamton University: Binghamton University is a premier public R1 research institution in the State University of New York (SUNY) system that unites more than 130 broadly interdisciplinary educational programs with some of the most vibrant research in the nation. Our unique character - shaped by our mission, outstanding academics, facilities, and community life - promotes extraordinary student success, research, and service; Binghamton University is where our students, faculty and staff thrive. Working at Binghamton University is more than about having a great job - it is about having the opportunity to flourish in an exciting, engaging environment. Our faculty and staff appreciate Binghamton's collegial and inclusive culture and its commitment to excellence, education, innovation, and civic engagement. Our diverse campus community contributes to our success. Binghamton merges rigorous academics, distinguished faculty who value cutting-edge, and community-engaged research, teaching and service, exceptional staff, and ultramodern facilities to engage and challenge its 18,000+ students. Our high-achieving student body represents diverse experiences from first-generation college-goers to international students. Beyond their talent, these classmates share a desire to shape the future through technology, insight, intellectual exploration, and community service. Job Description: Binghamton University, considered by many organizations as the top State University of New York, is a world-class institution that unites more than 130 broadly interdisciplinary educational programs with some of the most vibrant research in the nation. Binghamton University is a Carnegie Classification R1 Doctoral University, with Forbes calling it a top Public Ivy while ranking it # 24 among U.S. public universities and U.S. News & World Report's ranking it # 34 among public universities. Our unique character - shaped by outstanding academics, facilities and community life - promotes extraordinary student success. Binghamton merges rigorous academics, distinguished faculty and state-of-the-art facilities to engage and challenge its 18,000 students. The high-achieving Binghamton student body also represents a great diversity of life experiences, from first-generation college-goers to international students. Beyond their talent, these classmates share a desire to shape the future through technology, insight, intellectual exploration and community service. The Department of Electrical and Computer Engineering in the Thomas J. Watson College of Engineering and Applied Science at the State University of New York (SUNY University Center at Binghamton) invites applications for a faculty position at the rank of assistant professor to begin fall 2026. Individuals with an established record of obtaining competitive research funding and a history of scholarly excellence will be considered for appointment at the Associate Professor rank. The Department seeks candidates who are able to expand our research expertise in the general area of control systems and their practical implementation, with particular interest in robotics (perception, sensing, and real-world autonomous operation) or relevance to other ECE's research areas. The successful applicant will be expected to engage in scholarly activities, establish and lead an externally funded research program, and maintain excellence in teaching students at the BS, MS, and PhD levels. The department is particularly interested in candidates with experimental focus and those whose application expertise will have synergy with the research areas of our existing faculty, including Power & Energy, Cyber Physical Resilience & AI Security, Quantum Information Science & Engineering, Bioelectronics & Bioinformatics, and Semiconductors. The successful candidate will help advance Watson College's commitment to a diverse, equitable, and inclusive academic environment and will engage in collaborative initiatives across Binghamton University. Watson College Commitments: Watson College stands committed to fostering a community that reflects our diverse society to ensure that its teaching, research, scholarship, and outreach programs include and serve a wide range of individuals. Underpinning the technical, engineering, and computer science expertise of Watson College faculty, staff, students and alumni is an understanding that diverse and inclusive groups maximize potential, innovation, and impact. We, therefore, develop structures and opportunities that improve the experience of all students, especially those who are underrepresented in engineering and computer science. Watson faculty, staff, and students assist in cultivating a community of members that are conscious of barriers to social mobility, exhibit and act on empathy and compassion, and advocate for diversity, equity, and inclusion (DEI), both within the college and beyond. Together, we learn, educate, innovate, and work toward a more just and inclusive future. We embrace and cultivate our diversity and thrive because of it. We strongly encourage potential applicants who share these goals, especially underrepresented minorities, women, and persons with disabilities to apply. Requirements: Requirements: Ph.D. in Electrical Engineering, Computer Engineering, or a related field Effective communication skills Record of scholarship as evidenced by peer-reviewed publications and citations Teaching experience at the undergraduate/graduate levels Commitment to research Commitment to inclusive academic culture Preferred: Experience in proposal writing Please be advised that H1B visa sponsorship may not be available for this position. Additional Information: Binghamton University is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation to participate in the job application or interview process, please contact the ADA Coordinator by completing the following Request Form . The State University of New York is an Equal Opportunity/Affirmative Action Employer. It is the policy of Binghamton University to provide for and promote equal opportunity employment, compensation, and other terms and conditions of employment without discrimination on the basis of age, race, color, religion, disability, national origin, gender identity or expression, sexual orientation, veteran or military service member status, marital status, domestic violence victim status, genetic predisposition or carrier status, or arrest and/or criminal conviction record unless based upon a bona fide occupational qualification or other exception. As required by title IX and its implementing regulations, Binghamton University does not discriminate on the basis of sex in the educational programs and activities which it operates. This requirement extends to employment and admission. Inquiries about sex discrimination may be directed to the University Title IX Coordinator or directly to the Office of Civil Rights (OCR). Contact information for the Title IX Coordinator and OCR, as well as the University's complete Non-Discrimination Notice may be found here. Pursuant to Executive Order 161, no State entity, as defined by the Executive Order, is permitted to ask, or mandate, in any form, that an applicant for employment provide his or her current compensation, or any prior compensation history, until such time as the applicant is extended a conditional offer of employment with compensation. If such information has been requested from you before such time, please contact the Governor's Office of Employee Relations at or via email at . Binghamton University is a tobacco-free campus effective August 1, 2017. Offers of employment will be contingent upon successful completion of a pre-employment background check and verification of degree(s) and credentials. Application Instructions: All applicants must apply via the university applicant tracking system, Interview Exchange: Applicants should submit: A cover letter, A curriculum vitae (including a list of publications), Research Statement (3-5 pages), Teaching statement (1-2 pages) A diversity statement that describes your experience teaching a diverse population of students, which may include first-generation students, students from diverse racial and ethnic backgrounds, and international students, and how this experience would contribute to enhancing the diversity and climate of the department, college, and university, and The names and contact information of three professional references; Associate Professor applicants will be asked to provide contact information for a fourth reference at a later stage. Applications received by January 25, 2026, will receive full consideration. Position will remain open until filled.