Full stack jobs in Bayonne, New Jersey - Page 2Create job alerts

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

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

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

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

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

Senior Software Engineer, Salesforce Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. We are seeking Salesforce Software Engineers who are passionate about marrying data with emerging technologies. As a Capital One Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You’ll Do: * Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Utilize coding languages like JavaScript (Angular, React, Node), HTML/CSS, TypeScript, SQL and Java, Salesforce development with Apex, Native, VisualForce, Lightning framework, SOQL, REST & SOAP APIs, and RESTful web services Basic Qualifications: * Bachelor’s Degree * At least 3 years of experience in Software Engineering (Internship experience does not apply) * At least 3 years of experience in Salesforce Software Engineering (HTML, CSS, JavaScript, SQL) Preferred Qualifications: * Salesforce Certified Developer or Salesforce Certified Administrator certification * 1+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service * 4+ years of experience in at least one of the following: Salesforce development with Apex, Native, VisualForce, Lightning framework, SOQL * 2+ years of experience in Agile practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $158,600 - $181,000 for Senior Software Engineer New York, NY: $173,000 - $197,400 for Senior Software Engineer Plano, TX: $144,200 - $164,600 for Senior Software Engineer Richmond, VA: $144,200 - $164,600 for Senior Software Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Software Engineering, Full Stack - Capital One Software (Remote) Ever since our first credit card customer in 1994, Capital One has recognized that technology and data can enable even large companies to be innovative and personalized. As one of the first large enterprises to go all-in on the public cloud, Capital One needed to build cloud and data management tools that didn’t exist in the marketplace to enable us to operate at scale in the cloud. And in 2022, we publicly announced Capital One Software and brought our first B2B software solution, Slingshot, to market. Building on Capital One’s pioneering adoption of modern cloud and data capabilities, Capital One Software is helping accelerate the data management journey at scale for businesses operating in the cloud. If you think of the kind of challenges that companies face – things like data publishing, data consumption, data governance, and infrastructure management – we’ve built tools to address these various needs along the way. Capital One Software will continue to explore where we can bring our solutions to market to help other businesses address these same needs going forward. We are seeking top tier talent to join our pioneering team and propel us towards our destination. You will be joining a team of innovative product, tech, and design leaders that tirelessly seek to question the status quo. As a Capital One Senior Software Manager you’ll have the opportunity to be on the forefront of building this business and bring these tools to market. What You’ll Do: * Lead a team of developers with deep experience in distributed microservices, and full stack systems to create robust, cloud native, resilient, and highly scalable solutions in data management and security domains * Is an inspirational leader, has a talent growth strategy by attracting and retaining talent, involved heavily in hiring process and practice, continues to create high levels of energy and motivation through challenges and obstacles, and proactively manages all talent by actively coaching and improving the performance of directs * Has a strong engineering and technology background with the ability to learn quickly and go deep into our product and engineering solutions * Help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices to curate a continual stream of incubated projects and create rapid product prototypes * Promote a culture of engineering excellence and being well-managed, using opportunities to reuse and innersource solutions where possible. Lead the craftsmanship, availability, resilience, and scalability of your solutions * Be the guiding force for stakeholders in design and architecture discussions, helping the engineering teams make key technology choices, and staying associated with the use case through its development lifecycle * Effectively communicate with and influence key stakeholders across the enterprise at all levels of the organization. Proven collaborator and have the ability to build very strong partnerships with others to gain the trust and confidence of those around them, from hands on engineers to executives Basic Qualifications: * Bachelor’s Degree * At least 8 years of experience in software engineering (Internship experience does not apply) * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) * At least 4 years of people management experience Preferred Qualifications: * Master’s Degree * 10+ years of experience in software engineering in one or more of the following: GoLang, Java, Python, React, Rust, or C++ * 3+ years of experience in two or more of the following: GoLang, Java, Python, Lua, React, Nginx, Rust, or C++ * 5+ years of experience with AWS, GCP, Azure, or another cloud service * 2+ years of experience with containerization technologies * 4+ years of experience in open source frameworks * 5+ years of people management experience * 2+ years of experience in Big Data, Data Security, Governance and Controls * 2+ years of experience in front-end development * 2+ years of experience in Agile practices 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. Remote (Regardless of Location): $204,900 - $233,800 for Sr. Mgr, Software Engineering Richmond, VA: $204,900 - $233,800 for Sr. Mgr, Software Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Director, Software Engineering As a Capital One Director of Software Engineering, you'll work on everything from customer-facing web and mobile applications using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems and Machine learning models using the hottest techniques in Big Data. You bring solid experience in databases, API development, and cloud computing. You are proficient in one or more programming languages such as Go, Java, Python, Rust or Typescript, and demonstrate strong collaboration skills to partner effectively with cross-functional stakeholders and product managers. You will: * Lead, manage and grow multiple teams of product focused advanced software engineers passionate about tackling challenging problems for customers * As a Manager of the AI Solutions team, you'll be instrumental in delivering innovative solutions that unify, enrich, and extract insights from various data sources across the enterprise. * Provide guidance and perform software development work to ensure solutions are properly engineered and maintained to support customer needs. * Mentor and guide the professional and technical development of engineers on your team. * Spearhead workstream execution, ensuring robust process and project delivery management. * Work with product managers to understand desired application capabilities and testing scenarios * Continuously improve software engineering practices * Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack development tools and technologies * Lead the craftsmanship, availability, resilience, and scalability of your solutions * Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community * Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity * Work across to improve the velocity of your and other teams * Lead efforts to deploy new and existing applications into AWS environments * Break existing monolithic applications into micro service architectures and build new microservices Basic Qualifications: * Bachelor’s Degree * At least 7 years’ experience in software development * At least 5 years’ experience in people management Preferred Qualifications: * Master’s Degree in Computer Science or a Master’s Degree in Software Engineering * 10+ years of experience in software development * 7+ years of experience in directly managing engineering teams * 4+ years of experience in AI, Data Science, or Machine Learning with hands-on experience in AI/ML workflows including ingesting and transforming data * 2+ years of experience in developing Generative AI models and frameworks (OpenAI family, open source LLMs, Retrieval Augmented Generation (RAG)) * 5+ years of experience in Agile practices 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: $263,900 - $301,200 for Director, Software Engineering New York, NY: $287,800 - $328,500 for Director, Software Engineering Richmond, VA: $239,900 - $273,800 for Director, Software Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $234,000 - $267,000 for Applied Researcher II Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher II (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: * Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data * Flex your interpersonal skills to translate the complexity of your work into tangible business goals Basic Qualifications: * PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 10 years of industrial NLP research experience * Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs * Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Has worked on an LLM (open source or commercial) that is currently available for use * Demonstrated ability to guide the technical direction of a large-scale model training team * Experience with common training optimization frameworks (deep speed, nemo) * Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $273,000 - $311,500 for Distinguished Applied Researcher Cambridge, MA: $300,200 - $342,600 for Distinguished Applied Researcher McLean, VA: $300,200 - $342,600 for Distinguished Applied Researcher New York, NY: $327,600 - $373,800 for Distinguished Applied Researcher San Francisco, CA: $327,600 - $373,800 for Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher 1 Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Applied Researcher I Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

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

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

Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Our client is looking for a Drupal Developer in NYC. Minimum 5 years of experience as a Full-stack PHP Developer with a demonstrable portfolio.

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

Job DescriptionSenior Brand Creator, Culture & Growth Ambassador SoHo West, New York City | Full-time | In-office Were building the most loved beverage brand in the world. Be LOVE is building the future of beverages across multiple categories. Founded by Kurt Seidensticker (Founder of Vital Proteins, early investor in Ghost Energy and Koia) and Leslie Scofield (Toms, Aviator Nation, Summit Series), Be LOVE isnt just another beverage brandits a cultural movement for wellness, connection, and performance. Our balanced electrolyte drinks are made for everyone, every day, designed to help people feel their best. Our NYC office is the engine driving the brand forward. Were building a team of A-players across marketing, growth, and technologyand were looking for a team of Senior Brand Creator, Culture & Growth Ambassadors. Youll be the creative and operational engine of our Influencer/Creator Marketing programresponsible for sourcing, coaching, and managing the talent that will help scale Be LOVE into a generational beverage brand. From drafting airtight briefs to securing ad authorization and optimizing performance reads, you will be the key operational link between high-quality creator content and measurable business results, fueling our next phase of brand growth. Who You Are You turn creator chaos into clean, on-time posts. You speak the platform, you think in checklists, and you keep receipts. You balance taste with targets and treat every booking like a mini-launch. You move fast, protect the brand, and make it easy for creators to win with Be LOVE . You are the Creator and the Face of the Brand. You own an active, established channel and you are skilled at generating viral, native content. You understand hooks and retention because you do it yourself, and you are comfortable being on camera as the authentic face ofBe LOVE on and off your channels. You connect people, remember details, and keep the energy warm, organized, and moving. About the Role Be LOVE is looking for a passionate, results-driven Senior Brand Creator, Culture & Growth Ambassador to serve as the authentic, full-time face of the brand. This role merges Brand Ambassadorship, High-Volume Content Creation, strategic execution, and analytical reporting, working across organic and paid channels to make influencer marketing a key brand and business driver. The Impact You Will Make You will work directly with the Senior Creator Program Lead to shape the program's future by focusing on four core areas: • Strategic Growth: Contribute to the master roadmap, playbook, and measurement plan to elevate influencer & creator marketing into a top-tier acquisition and engagement channel for Be LOVE, • Creative Excellence: Serve as a primary coach for our creator network, ensuring all content is best-in-class, aligns with brand values, and achieves campaign objectives., • Performance Optimization: Own the monitoring and reporting of campaign performance (organic and paid), providing actionable insights to continuously optimize strategy, execution, and ROI., • Build a community: Help build and nurture a tight-knit ecosystem of creators, ambassadors, and superfans, keeping group chats active, feedback loops alive, and our presence strong online and in IRL. What Youll Do • Develop briefs and coach creators toward best-in-class content. Review concepts for fit, clarity, and brand safety, • As the face of the brand, you will own and execute the content strategy for your personal channel(s) (which promote Be LOVE and our core brand channels; ideate, shoot, edit, and post with clean CTAs, • Monitor, manage, and report on performance of organic & paid campaigns, including both performance-driven and awareness campaigns, • Ensure all contractual obligations are met and all campaigns launch on time with clean links and disclosures, • Optimize strategy and execution based on learnings, • Partner closely with Brand, Studio, and Growth teams to leverage creator creators and their content as part of our campaigns & always-on brand moments, • Stay on top of trends, share case studies, and demonstrate thought-leadership across the organization, • Continuously research and learn from other successful brands with a strong social media & influencer presence, • Work with the Senior Creator Program Lead on the master roadmap, playbook, and measurement plan to grow influencer marketing into a key brand and business driver, with measurable impact across reach and impressions, traffic and sales., • Help shape and lightly host "micro-moments" with our community (e.g. group chats, small meetups, surprise-and delight drops) that keep creators and fans feeling seen and connected Creator Sourcing & Relationship Building • Source, vet, and maintain a current roster of brand-relevant creators across platforms, ensuring alignment on brand fit, audience quality, and rates, • Initiate cold outreach and nurture relationships with potential and existing influencers and brand ambassadors to expand the Be LOVE social network, • Act as a passionate brand evangelist, identifying and pitching new, inventive ways to promote Be LOVE through the influencer and creator network Campaign Management & Logistics • Draft comprehensive and airtight briefs including objectives, hooks, claims, dos/donts, and full disclosure guidance., • Negotiate packages, timelines, and usage rights, coordinating with internal teams (Brand, Studio) for asset creation and claim confirmation., • Manage all product seeding and logistics, coordinating with the warehouse for product shipments and external vendors for custom gifted mailers., • Issue and verify links, codes, and tracking pixels prior to launch to ensure accurate performance measurement Reporting & Optimization • Manage the end-to-end payment process, communication, and deliverable tracking for all influencer partnerships., • Lead monthly reporting and KPI tracking utilizing platforms (GRIN, Tribe Dynamics, Lumanu) to log performance reads (e.g., CTR, CPA, GMV, save/share rate)., • Collect and secure usage/ad authorization (e.g., Spark Ads, allow listing) and hand off files to the Paid Media team for content boosting and retargeting., • Bachelors degree in Marketing or a related field, • 3+ years in a high-volume content creator or integrated marketing role with hands-on execution., • MANDATORY: Established, Active Creator Presence with a demonstrable, engaged audience (e.g., 50k+ followers); comfortable on camera and behind the camera; must share public links and recent performance examples of your own content., • Platform-native fluency across TikTok, Instagram, and YouTube and comfort in each back end, • Tracker discipline with links, codes, IDs, rights windows, and clean naming, • FTC disclosure basics and working knowledge of claims safety and platform policies, • Clear written comms and creator bedside manner that gets to yes without drama, • Strong organization under weekly keep-pause-scale cadences with Buyers and Performance, • Curiosity for culture and the ability to spot formats before they peak, • You are social, outgoing, personable and friendly, • In your spare time, you always find yourself scouting new people to follow on Instagram or are out and about making new connections with like-minded individuals, • You celebrate your success, and the success of the team even more, • Must have strong business acumen and entrepreneurial spirit Youll Thrive If You • Love turning a messy DM thread into an on-time post that performs, • Enjoy making content as much as booking it, • Can fix a caption, link, or disclosure in minutes, not days, • Keep calm calendars and cleaner spreadsheets when volume spikes, • Write briefs creators actually use, • Spot simple process fixes that speed the whole pipeline, • Love being the connector who remembers who met where, who vibes with who, and how to pull the right people into the same chat or moment. Tech Stack You Might Touch What Really Matters • On-time creator posts on creator handles with clean links and disclosures, • Rights and ad authorization secured for boosts with audit-ready records, • A steady feed of brief-ready creators and formats the team can book fast, • Weekly inputs that help us decide what to keep, pause, and scale, • Proof you can move volume without sacrificing brand safety or pace, • Original content from you that feels like Be LOVE and performs Helpful Degrees Marketing, Communications, Public Relations, Journalism, Media, or related fields welcomeequivalent experience works if your tracker and results tell the story. Benefits Why Be LOVE Through our relationship with GivePower, every can of Be LOVE sold helps provide 10 people in need with access to safe drinking water for one day. This is hydration that goes beyond functionits hydration that gives back. Benefits Comprehensive medical, dental, vision, FSA/HSA, commuter benefits; 401(k) with 6% match (immediate vesting); life and disability; monthly wellness and connectivity stipends.

Job Title: Back-End Engineer Location: New York City / Hybrid About Inversion: Inversion is a technology company that develops cutting-edge products and services to enable blockchain-driven business model transformations of legacy businesses. We pursue targeted acquisitions that leverage our blockchain technology to fundamentally transform business models, drive significant cost reductions, and achieve industry-leading profitability—all while maintaining operational continuity in core business functions. By strategically combining decentralized systems with our disciplined acquisition methodology, we disrupt traditional industries and build scalable, high-growth and profitable businesses. We are backed by top-tier investors in crypto and tech. Our team brings deep experience from leading financial institutions and a decade of investing in crypto and technology. We’re at an inflection point where crypto is no longer just experimental—it’s actionable. At Inversion, you'll be a pioneer in shaping how blockchain is used to create meaningful impact across industries and proving to the world that, like the Internet, crypto is a technology that most businesses will adopt to remain competitive. Learn more on our ___ and follow us on___ and___. Position Overview: We’re looking for a Back-End Engineer to build the core infrastructure that powers blockchain-based products across Inversion’s portfolio companies, layer-1 ecosystem, and local product suite. You’ll work closely with the Head of Product, Head of Engineering, and front-end engineers to create robust systems that connect legacy business processes with modern blockchain infrastructure. From wallets and payments to agent portals and credit systems, your work will make blockchain usable at scale. This is a hands-on role for someone who thrives in fast-paced environments and enjoys building high-performance systems from the ground up. Key Responsibilities: * Design and Build Core APIs: Design and implement back-end services to support mobile wallets, real-time payments, identity verification, and transaction history. * Integrate Blockchain Infrastructure: Collaborate with the Head of Engineering to connect traditional app flows to stablecoin infrastructure, nodes, and custodial or non-custodial wallets in a secure and modular way. * Support On/Off-Ramps: Collaborate on infrastructure that enables local payment rails to connect with stablecoins and cross-border remittances. * Security and Reliability: Implement rigorous security best practices, including API authentication, data validation, smart contract risk mitigation, and observability tooling. * Ensure Performance and Resilience: Build for scale, latency, and uptime across geographies, particularly in areas with inconsistent internet or older devices. * Collaborate Across Product and Engineering: Partner with front-end engineers, Head of Product, and designers to understand user needs and prioritize features. * Market Insights & Innovation: Stay ahead of industry trends, ensuring that Inversion’s product offerings are innovative, competitive, and aligned with the needs of both users and the blockchain ecosystem. * KPIs & Performance Metrics: Define key product success metrics and ensure continuous tracking, reporting, and improvement. Qualifications: * 4-6+ years of experience in back-end development, ideally with exposure to blockchain infrastructure or fintech systems with proficiency in Go or Python * Strong understanding of blockchain infrastructure, wallet connections, and smart contract interactions. * Strong attention to security, data integrity, and fault tolerance. * Strong understanding of blockchain technology, decentralized applications, and interoperability protocols. * Experience working on cross-functional teams in a fast-paced, high-growth environment. * Strong problem-solving skills and the ability to navigate complex technical and business challenges. * Ability to think long-term and implement strategies that drive value both for equity holders and token stakeholders. * High energy, entrepreneurial mindset, and a willingness to embrace the unique challenges and opportunities presented by a rapidly evolving blockchain investment model. * A passion for the intersection of blockchain technology and real-world business applications. Preferred Skills: * Familiarity with stablecoin ecosystems, digital wallets, or fintech products. * Familiarity with full-stack development concepts. Compensation: Inversion offers a competitive compensation package, including base salary, co-invest (“equity”), and token grants. The role provides significant potential for asymmetric upside, especially for individuals who are passionate about driving innovation in the blockchain and investment space. Why Inversion: At Inversion, you will have the opportunity to work at the cutting edge of blockchain technology, transforming real-world businesses and creating scalable ecosystems. You’ll be part of a dynamic, forward-thinking team that values innovation, collaboration, and a shared vision of reshaping industries through decentralized solutions. If you're passionate about leading product innovation and driving the blockchain revolution, we want to hear from you. Questions: Please contact our team at with any questions regarding this position. Inversion is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Inversion employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy.

We are looking for Full Stack Java Developers for a large-scale project. Develop RESTful APIs in Java and related stack & Develop User Interfaces using modern front-end libraries and stack. Applicants should be capable of developing, integrating, and maintaining a full-stack app for Govt organizatio

Job Description About Us ISMG is a global intelligence firm and media powerhouse, leading the way in cybersecurity, enterprise IT, and digital transformation. With 10+ brands, 38 digital media properties, and over 400 premier events annually—ISMG connects a network of over 2M executives, decision-makers, and innovators with the insights and opportunities they need to stay ahead. We’re not just evolving—we’re accelerating. By continuing to enhance our solution offerings and expand our market reach, we’re entering one of the most exciting phases in our company’s growth. This is the moment to join us. The Opportunity ISMG is seeking an experienced and technically adept Website Operations Manager. In this pivotal hands-on role, you will be responsible for building and maintaining advanced WordPress websites, managing complex digital applications, and aligning marketing automation strategies with business objectives. You will leverage your expertise in modern web development to optimize marketing websites and applications that drive business results. You will play a strategic role in planning, managing, and overseeing the execution of digital projects for all ISMG business units. What You'll Be Doing • Achritect, develop, and maintain complex WordPress websites, including custom themes and plugins for ISMG Business Units., • Implement enhancements to website aesthetics, performance, and SEO in close collaboration with design and content teams according to brand guidelines., • Create custom landing pages and applications to support business unit initiatives leveraging the latest in front-end frameworks., • Optimize sites using advanced web performance techniques,, • Lead the integration of our websites with marketing and CRM platforms, ensuring data flows seamlessly between systems using APIs, webhooks, and middleware solutions., • Drive the strategic planning, development, and innovation of digital marketing initiatives across business units embracing our use of AI tools., • Lead the technical implementation of marketing automation workflows and strategies to align with business objectives., • Oversee project timelines and deliverables, ensuring adherence to agile methodologies and deadlines., • Conduct comprehensive technical analysis to optimize website performance, accessibility, security, and search technologies., • Serve as a technical lead, translating business requirements into sophisticated web-based solutions., • Collaborate with global marketing teams, designers, web developers and content creators to deliver engaging campaign assets., • Bachelor's degree in a related field., • 5+ years of experience in full-stack web development, including proficiency in Wordpress, HTML5, CSS3, Tailwind, PHP and JavaScript frameworks., • Extensive experience with custom WordPress theme/plugin development, Advanced Custom Fields, and WordPress REST API., • Demonstrated success in managing complex web projects and teams using agile methodologies., • Hands-on experience with marketing technology integrations, including CRM, web analytics, and automation tools., • Advanced understanding of web security practices and compliance., • MySQL and database management, • WPEngine or similar experience with WP-focused hosting platforms, • Bitbucket and Bitbucket Pipelines or similar experience with version control and CI/CD, • Familiarity with server-side languages such as Python, or Node.js., • Ability to prepare and present project plans and performance/security reports., • Project management experience using Monday.com., • Understanding of best practice security standards including User Access Management, Environment testing, and more, • Figma or similar experience with other web design tools, • High-growth, global organization with clear momentum and market leadership, • Collaborative team of innovative thinkers and creative professionals, • Supportive culture that values autonomy and excellence, • ????Location: Princeton, NJ or Manhattan, NYC (on-site, Mon–Fri)., • ????Compensation: $100,000-$125,000 (dependent on experience level)

Patreon is the best place for creators to fire up their fandoms, share exclusive work, and turn their passions into lasting creative businesses. Over 250,000 podcasters, writers, musicians, artists, and other creative people use Patreon to reach their biggest fans directly and earn an income for the value they provide. Creators can offer paid memberships that unlock access to exclusive work and community, or sell individual digital items from their own Patreon shops. Ultimately, our goal is simple: fund the creative class. And we’re leaders in that space, having sent over $3.5 billion to creators since our founding. We’re continuing to invest heavily in building the best creator tools with the best team in the creator economy, and looking for a Senior Backend Engineer to join our Creations Team to support our mission. This role is based in NYC and open to those who are able to be in-office 2 days per week on a hybrid work model. About the Role * Own and deliver well-scoped full stack product feature milestones that help creators create content on Patreon. * Drive technical design of components that are scalable, well tested and are easy to maintain * Advocate for best patterns and practices in the areas of system design, performance, observability and testing. * Collaborate with product managers, data scientists, designers, and other engineers to deliver high quality features. * Champion innovative solutions that enhance the usability and engagement with discovery features About You * 5+ years of experience in software development * Strong experience with Python or a similar language * Experience with React, next.js, Typescript or Javascript * Experience with SQL. * Solid communication skills with cross-functional team members * Eager to take on new challenges and expand skill set * Build a strong product-minded engineering culture by mentoring and guiding engineers Patreon powers creators to do what they love and get paid by the people who love what they do. Our team is passionate about making this mission and our core values come to life every day in our work. Through this work, our Patronauts: * Put Creators First | They’re the reason we’re here. When creators win, we win. * Build with Craft | We sign our name to every deliverable, just like the creators we serve. * Make it Happen | We don’t quit. We learn and deliver. * Win Together | We grow as individuals. We win as a team. We hire talented and passionate people from different backgrounds across the organization. If you’re excited about a role but your past experience doesn’t match with every bullet point outlined above, we strongly encourage you to apply anyway. If you’re a creator at heart, are energized by our mission, and share our company values, we’d love to hear from you. Patreon is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other protected class. Patreon offers a competitive benefits package including and not limited to salary, equity plans, healthcare, unlimited paid time off, company holidays and recharge days, commuter benefits, lifestyle stipends, learning and development stipends, patronage, parental leave, and 401k plan with matching.

A company is looking for a Full Stack Node Engineer. Key Responsibilities Full-stack web development Refine and develop new features on the newly rebuilt platform Collaborate with contractors and designers to integrate components and support new feature development Required Qualifications 3+

A company is looking for a Full Stack Python Developer with expertise in AI/ML, AWS, and Docker. Key Responsibilities Design and develop scalable web applications and APIs for healthcare Revenue Cycle Management Integrate AI-driven solutions and optimize system architecture for enhanced performan

A company is looking for a Java Full Stack Engineer - Professional.Key Responsibilities Develop, enhance, and maintain applications using Groovy, Java, and related technologies Integrate applications with REST/SOAP APIs and backend systems Troubleshoot, debug, and optimize application performanc

NET Developer to design and develop scalable applications. NET technologies, C#, and SQL Server Participate in Agile Scrum ceremonies and collaborate with stakeholders to deliver high-quality solutions Provide Level 3 application support and mentor junior developers while ensuring adherence to arc

Backend Software Engineer - Payments & Digital Money.We are a lean and mighty team of passionate builders, funded by top investors in.You will be a critical part of defining our technical and product roadmap, contributing directly to our core backend infrastructure.This role involves rapid feature s

A company is looking for a Senior Software Engineer - Full Stack (Remote).

Key Responsibilities Build web services using Ruby on Rails and Python FastAPI Own the end-to-end software development lifecycle, ensuring application performance and security Mentor junior engineers and lead code reviews while fostering a culture of technical excellence Qualifications and Requ

Role-Java developer with Scala Location-NYC,NY Looking for a hands-on Scala Developer to work on a Big Data platform, focusing on transaction monitoring, customer activity review, and scenario optimization. The role involves development, automated testing, DevOps release, and collaboration with global teams to design next-gen financial crime control solutions. • Create technical design documents per Agile (SCRUM) standards., • Work closely with global teams (FCT & NFRT) on collaborative projects., • 8+ years Java Full Stack experience., • 3+ years hands-on Scala/Spark development., • Strong SQL (RDBMS/DB2)., • Experience in HDFS platform development (2+ years)., • Skilled in code optimization (performance, scalability, configurability)., • Experience in Agile (SCRUM) projects., • Knowledge of Actimize ACTONE platform., • Experience with Azure Cloud implementations., • Knowledge of BDD frameworks., • Big Data certification preferred., • Strong communication skills (oral & written).

Job DescriptionCareer Renew is recruiting for one of its clients a Protocol Integration Engineer - this is a fully remote role for US based candidates or Canada/S America based candidates (if they can overlap with EST timezone) We are a stablecoin platform for builders. With us, developers can create their stablecoins in minutes by extending our superior digital-dollar building block, and customise attributes such as branding, compliance behaviours, and yield distribution mechanics. By extending $M into their own stablecoin, businesses can monetize their digital dollar use cases and maintain control over their money tech stack, while not being burdened by operational heavy-lifting. We are seeking an experienced Protocol Integration Engineer to join our growing team. In this role, you will enhance the growing set of $M Extensions projects, support partners' technical teams, improve existing products, and create and maintain comprehensive documentation. Key Responsibilities * Adjust existing Solidity and/or Rust(Solana) M Extensions Frameworks to the external partners' needs. * Maintain and enhance API/SDKs and Web3 infrastructure projects in TypeScript to meet partner needs. * Ensure consistency and quality of our partners' extensions and integrations. * Educate partners and their engineering teams about the core functionality of the M Extensions Frameworks. * Write comprehensive documentation, test suites, and deployment scripts. * Participate in code and design reviews to ensure quality, security, and performance. Qualifications * Strong programming skills: proficiency in smart contract development and/or full-stack engineering. * Proficient in TypeScript. * Prior technical role at an established DeFi project. * Familiarity with DeFi protocols and cross-chain messaging protocols. * Strong communication and writing skills. * Fluent in English. Skills & Attributes * Proactive problem solver: You have a forward-thinking mindset, actively identifies opportunities for improvement, and takes decisive action to resolve issues efficiently and effectively. * Collaborative communicator: You foster relationships with finance experts, blockchain specialists, back-end developers and designers. * Team-oriented mindset: You are always ready to help colleagues within and outside your team and seek assistance when needed * Delivery-focused: You have a clear understanding of the objectives and goals and direct your efforts towards achieving them. * High level of autonomy. Compensation * Competitive compensation (base salary with equity/ token grant) commensurate with experience. Benefits * Global team and flexibility: Join a truly global team with the flexibility to work remotely or from one of our hubs in NYC or Berlin. * Health and wellness: Enjoy comprehensive healthcare insurance coverage as well as a wellbeing allowance and gym membership to support your physical and mental health. * Customisable IT setup: Tailor your workspace with access to top-notch IT equipment. * Professional development: Benefit from an annual development budget to enhance your skills and grow professionally, including opportunities to participate in conferences and on-site company events worldwide. Compensation & Package base salary with equity/ token grant) commensurate with experience

Job Description The RoleArchitect, build, and maintain full-stack web applications using React, Next.js, Node.js, MongoDB, and modern cloud-native tools. Build pixel-perfect, high-performance front-ends with deep attention to detail and strong design intuition. Design and implement scalable data pipelines and infrastructure for real-time and batch processing. Create applications with deep integration of analytics, reporting, and data-driven decision-making tools. Integrate and operationalize AI APIs such as OpenAI, Anthropic, or other LLM providers into customer-facing features. Own the full development lifecycle — from architecture and database design to deployment, observability, and scaling. Collaborate closely with cross-functional teams to rapidly iterate on AI-powered product features. Mentor junior engineers and contribute to a high-ownership, high-performance culture.The candidate needs to be truly full stack (must be able to build an application from scratch - all the way through deploying it on AWS - all by themselves)NOT looking for AI or Data engineers, but full stack engineers with deep experience in at least one of these two areas: AI or Data, (ex. not necessarily building AI models from scratch but building features on top of AI infrastructure or using LLMs to develop AI features)MUST have an engineering degree - non engineering degrees or bootcamps is a nonstarterSkills7+ years of full-stack engineering experience, with a proven ability to build and launch full web applications from scratch. Mastery of React, Next.js, Node.js, and MongoDB. Proven experience integrating and scaling AI APIs in production environments, including building complex, production-level microservices with an orchestration layer. Experience deploying and scaling AI-powered features in production, with expertise in: AI Red Teaming - Adversarial testing to find failure modes and vulnerabilities AI Assurance - Comprehensive validation that AI systems meet safety and reliability standards Model Monitoring - Continuous oversight of AI model performance and behavior in production AI Quality Assurance (AI QA) - Traditional QA practices adapted for AI systems AI Reliability Engineering - Ensuring AI systems are dependable and fail gracefully Strong expertise in designing and maintaining data pipelines (ETL/ELT, streaming, or batch). Deep mastery of AWS services, including but not limited to: Lambda, EC2, S3, RDS, API Gateway, SQS, SNS, CloudWatch, IAM, VPC, and ECS with Containerization DevOps experience including but not limited to: Docker, Swarm, Github Actions, Creating Custom CI/CD pipelines. Knowledge of Kubernetes is a plus. Demonstrated ability to scale applications to millions of users. Strong understanding of system architecture, security, caching strategies, and performance optimization. Demonstrated ability to scale applications to millions of users.Bonus: You’ve founded a startup or been the first/early technical hire at an early-stage startup.

Job Description Slice's mission is simple: help independent pizzerias become more profitable. Slice powers over 10,000 of your favorite pizzerias across the US with discounts on the things they care about and use most, an integrated technology stack, world-class marketing and advertising services and a community of owners where they can learn, share and thrive together. Slices' opportunity is massive, and we are just getting started - this is where you come in… The Opportunity Do you love pizza? Do you love technology and helping entrepreneurs in your local community? If so, being a Territory Manager at Slice might be exactly what you're looking for! Slice is rapidly expanding its US-based Sales team, and our Territory Managers are at the heart of our mission to keep local pizza thriving. They are obsessed with building strong, long-term relationships with our shop owners to help them drive the profitability and growth of their shops. As a Territory Manager, you would be the face of Slice in your local area, acquiring new pizzerias and expanding relationships with existing partners. Your ultimate goal is to help every shop maximize the benefits of Slice's Family Membership, our all-in-one solution that includes Slice Register (Point-of-Sale), online ordering, phone ordering, and discounted pizza boxes. While some owners are ready to adopt the full suite immediately, others require a more tailored approach; your job is to meet them where they are, identify their most pressing needs, and introduce them to the right solutions at the right time. This is a full-cycle outside sales role, and the majority of your time would be spent traveling around your territory to meet with shop owners in-person. The Locations We are looking to expand our New Jersey team in the following areas: • Central NJ The Keys to Success We don't want to be a good sales team, we want to be the BEST – and we want people who want to be the best too. If this sounds like you, then read on! Top performers in this role share the following traits: • They are curious about how everything works and how they can improve it, • They love the ambiguity, change and intensity that comes with working at a start-up, • They are obsessed with their own performance and how to get better in every aspect of their job, • They see feedback as a gift and love being coached, • They want to be the best and put in the work – on their own & alongside the team to make that happen, • They have a valid driver's license, vehicle and excitement for local travel The Extras Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights: • Flexible PTO, • Market leading medical, vision and dental insurance, • 401K matching up to 4%, • Wellness reimbursement/stipend The above represents the expected compensation range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors. The Hiring Process • Application – resume & short-answer questions, • 30 minute introductory meeting with Recruiter, • Assessment, • 30 minute presentation

Job Description Canyon seeks a full-time IT Manager to coordinate all technology operations for Canyon. Who we are Canyon is a nonprofit arts venue opening in 2026 on the Lower East Side of NYC, dedicated to the exhibition of time-based media art and performance. Position Overview The IT Manager reports directly to Canyon's VP of Art & Technology and leads all technology operations for the institution. As Canyon's first IT Manager, this individual will establish and manage all core IT infrastructure while working alongside specialized technical teams-including AV engineers in Exhibitions and conservation technicians in Canyon's conservation center-to ensure seamless integration across all technology systems. This includes ensuring that Canyon's infrastructure supports high-performance media art installations, live events, visitor services, retail operations, and back-office systems. The IT Manager will maintain a secure, scalable, and efficient network that underpins all digital and audiovisual systems across the organization. Working across the Exhibitions, Conservation, Facilities, and Operations divisions, the IT Manager will plan, implement, and maintain integrated AV/IT systems that bridge creative and administrative workflows. Initially operating as a hands-on sole IT practitioner, they will manage procurement, vendor relationships, and contracts for technology systems, coordinate with integrators and service providers, and develop best practices for cybersecurity, access control, and data integrity. The ideal candidate combines technical fluency with hands-on leadership and clear communication. They are a pragmatic problem-solver who can anticipate infrastructure needs, translate between creative and technical teams, and ensure that Canyon's systems operate reliably and intelligently as the venue evolves. Key Responsibilities • Oversee the full IT stack: network, servers, storage, workstations, AV/IT convergence systems, security, backup/disaster recovery., • Manage systems supporting the conservation centre (CMACC), exhibitions, performance program, office operations, and guest services., • Develop and enforce IT policies, procedures and best-practices (e.g., access control, data management, media asset handling, cybersecurity)., • Lead hardware and software procurement, vendor sourcing, contract negotiation, and lifecycle planning., • Collaborate with the Art & Technology division, Exhibitions team, Performing Arts team and Facilities to align IT/AV infrastructure with artistic and operational goals., • Provide day-to-day support, troubleshooting and escalation for technical issues; manage and train any IT staff or contractors., • Plan for scalability: our opening phase leads into growth - exhibitions, performances, conservation workflows and visitor services will all increase., • Monitor budgets, create cost-control measures, and report on technology KPIs to leadership., • Stay current with emerging technologies; recommend strategic technology adoption., • Minimum 5 years of professional IT management experience, preferably in a media-rich, arts-oriented or complex venue environment., • Hands-on experience with converged AV/IT systems, network infrastructure, storage solutions, media-asset management or similar., • Hands-on experience with deploying and managing ticketing systems, CRMs, or visitor experience technology., • Proven ability to manage vendors, negotiate contracts, plan hardware/software lifecycle, and control budgets., • Strong aptitude for systems thinking - integrating the needs of exhibitions, performance, conservation and visitor/guest services into IT strategy., • Excellent communication, project management and problem-solving skills., • Prior experience in a museum, gallery or live-arts venue with time-based media., • Familiarity with conservation workflows or media-art asset management (valuable given our conservation centre)., • Knowledge of AV integration (e.g., digital signage, projection systems, live-event infrastructure, sound systems)., • Cybersecurity certifications (CISSP, CISM) or equivalent experience., • Experience with cloud services, hybrid infrastructure, virtualization, remote work support. Salary is commensurate with experience. The expected range is $125,000-150,000. This is a full-time salaried position. Benefits include medical, dental, and vision insurance; life, AD&D, long-term disability, and short-term disability insurance; a Health Savings Account or Flexible Spending Account; a 401(k) retirement account with a matching contribution; and tuition reimbursement. We are an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, protected veteran status, or any other characteristic protected by law. To Apply Please upload a resume, cover letter, and contact information for three references in the 'Resume' section of the job application portal.

Job DescriptionWe are a leading full-stack, high-frequency proprietary trading firm strategically located in New York and Taipei. Our company is equipped with a proprietary, latency-sensitive trading system, state-of-the-art trading algorithms, and a highly efficient execution platform designed to optimize trading strategies across various asset classes. Moreover, we maintain comprehensive access to major exchanges worldwide, allowing us to execute complex trades efficiently and at scale. This global reach, combined with our technological expertise, positions us at the forefront of the financial trading industry. About the role: In this role, you will apply mathematical and quantitative methods to evaluate financial products and markets, identify trading opportunities, and assess risks.Responsibilities: • Research prediction markets, protocols, strategies, and manage a sizeable portfolio., • Conduct in-depth research on prediction markets., • Design and deploy algorithmic trading strategies to the production environment., • Expand the automated trading business to new products and venues, and calibrate and fine-tune performance., • Provide reporting on daily market sentiment, risk exposure, and P&L., • Conduct post-trade analysis of trading strategies and algorithm performance, implement risk mitigation measures, and take responsibility for portfolio and strategy optimization.Who you are:, • STEM Degree from a top college or university., • Have a quantitative trading strategy that is currently and consistently profitable on live prediction markets, such as Polymarket or Kalshi (not just in simulations or back-tests)., • Excellent Return on Capital (ROC) with a proven track record, not just back-test data., • Candidates with prior experience at a buy-side trading firm or hedge fund are preferred., • Must be able to do hands-on coding in any of the following languages: Rust, C++, Golang, or Python.General requirements:, • Candidates must work in NYC office five days a week., • Candidates should expect 2–3 rounds of coding tests, each lasting 2–3 hours. kDE9E1630X

Job Description Sr. Software EngineerWe're looking for a strong full stack engineer to join a collaborative, fast-moving development team focused on building high-quality, user-centric web applications. This is an opportunity to have a direct impact on a growing product by helping shape features, improve performance, and deliver seamless user experiences. Responsibilities: • Collaborate with a close-knit engineering team to develop and launch new features quickly and efficiently., • Work alongside product managers and designers to scope, refine, and prioritize initiatives., • Partner with QA to ensure the delivery of reliable, testable code with a strong emphasis on quality., • Participate in code reviews to maintain high standards of code quality, security, and maintainability., • Contribute across the stack, with a strong focus on front-end architecture and development., • Apply a user-first mindset, always considering usability and customer experience in your implementation., • Break down complex technical challenges into scalable, maintainable solutions., • Thrive in a dynamic, fast-paced environment where priorities shift and team members wear multiple hats., • Leverage your knowledge of development tools and frameworks to improve workflows and productivity. Required Skills:, • Bachelor’s degree in computer science, Software Engineering, or equivalent professional experience., • 6+ years of experience building scalable web applications, including server-side APIs and front-end interfaces., • Proficiency with the full stack and willingness to work with the stack we use:, • Frontend: React, JavaScript & TypeScript (React Native for Mobile), • Backend: Ruby language & Sinatra framework, • Excellent communication skills and the ability to collaborate across functions., • A strong sense of ownership and the ability to work autonomously or within a team., • Familiarity with the full development lifecycle—from ideation and prototyping through QA and release. Compensation:, • $175,000 - $200,000 base

Job Description Merge is the leading provider of agentic tools and customer-facing integrations for frontier LLMs, Fortune 500 organizations, and B2B SaaS companies. Our platform offers two core products: Merge Unified, which enables businesses to add hundreds of integrations to their products with a single API, and Merge Agent Handler, which empowers AI agents with secure access to thousands of third-party tools. Merge's enterprise-grade platform handles the entire integration lifecycle, from authentication and security to monitoring and maintenance. Thousands of companies trust Merge to accelerate product development, unblock sales, reduce customer churn, and save engineering resources—allowing them to focus on their core product. Who are we looking for? We are hiring backend and full stack engineers at the senior level on the Experience Engineering team. The team is a full stack, product engineering team with a mission to make Merge's powerful product feel seamless and intuitive to use. This team owns all customer-facing surfaces with the goal to deliver a reliable, developer-friendly, and cohesive experience across all of them.What you will do: • Participate in roadmapping and architecture discussions, • Produce high-quality, production-ready, readable, maintainable code, • Lead large projects from initial inception to production, • Unblock and support your team of peers including engineers, designers, product managers, and business operators, • Interact with customers to solve customer problems, • Build a best in class developer experience for Merge's dashboard, docs, APIs and SDKsThe ideal candidate will have:, • 5-8+ years of full-time software engineering experience, • Experience with frameworks (Django, Rails, Spring, React, Vue.js, Angular, etc.), • Extensive knowledge of SQL databases (Postgres preferred), • An ability to perform in a fast paced environment and deal with ambiguity, • Startup or SaaS experience preferred, • Experience with design systems, modern styling, and frontend testing practices a plusCompensation, • The cash compensation range for this role is $170,000 - $205,000 Linkedin's Top Startups 2025 Forbes Next Billion Dollar Startups 2023 G2 Fastest Growing Products 2024 Benefits • Unlimited PTO + 10 company holidays, • Pre-Tax commuter benefits, • 100% covered health, vision, and dental insurance, • 401K Plan, • $200 one-time home office stipend, • In office snacks and free dinner when working past 7pm

Job DescriptionAbout LogRocket Founded in 2016, LogRocket's goal is to make every experience on the web as perfect as possible. We're solving a huge challenge for product managers and developers - understanding the user experience. LogRocket is the first system that gives these teams complete visibility into their customer's experience using their web apps - through pixel-perfect replays of user sessions and clear insight into logs, errors, and network activity. We've already attracted an elite roster of over 2,800 customers including ClassPass, Capital One, Cisco, and Rippling, just to name a few. Our focus is on building software with care and craftsmanship and our engineering blog posts offer a taste of that. Backed by top investors such as Matrix Partners, Battery Ventures, and Delta-V Capital, we've raised $55M in funding and we're eager to bring talented people onboard to support our growth. We're on a mission to improve society's experience with software and that's where you come in.Responsibilities (Sample Projects) • Design a system to automatically detect the most common user paths across millions of events, • Implement a search backend that allows users to search in real time across billions of log entries, • Build a machine learning pipeline that automatically detects bugs in our users' apps, • Automate database scaling to improve operating cost while maintaining the ability to respond to traffic spikes, • Build a system that automatically recommends integrations for customers based on their toolsetQualifications, • 7+ years of experience in a full stack or backend development role, preferably with a SaaS company, • Experience with state of the art cloud technologies, including architectural principles, specific tools of the trade, and their strengths and weaknesses, • Hands-on experience building and redesigning highly available distributed systems, • Familiarity with modern Javascript-based applications and frameworks, • Experience in development environments with demanding scalability or availability requirements, • A strong collaborator who is transparent about progress on tasks, seeks feedback early and often, works effectively with the team to deliver on engineering estimates, • Acts as a mentor to junior engineers and provides coaching to upskill other team members, • If you don’t meet all of these, we still encourage you to apply. We believe that code is code, regardless of language, and learning different tools is part of joining a new companyBenefits & Perks, • Catered lunch and an impressive array of your favorite snacks (healthy AND non-healthy!), • Unlimited vacation policy, • Health, Dental, Vision benefits, 401k, commuter benefits, • Generous stock options

Job DescriptionWhy Charlie Health? Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they're met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported. Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we're expanding access to meaningful care and driving better outcomes from the comfort of home. As a rapidly growing organization, we're reaching more communities every day and building a team that's redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we'd love to meet you. About the Role As the Engineering Manager, Data you will lead and represent a team of Data and Analytics Engineers, driving execution at a high level while fostering a culture of trust, empathy, and technical excellence. You will own the data warehouse and pipelines that power company-wide reporting, product analytics, and all post-source data operations, ensuring these are reliable, observable, accurate, fresh, scalable, and extensible. You will provide structured execution, clear prioritization, and alignment with business needs. As a hands-on leader, you will lead sprint ceremonies, roadmap planning, provide mentorship, remove blockers, contribute technically as needed, and create a culture of execution and continuous improvement. You will partner with leaders in our ML, Analytics, BizOps, and Engineering teams and define a vision for data model best practices in our warehouse and ETL pipeline architecture, while supporting new business initiatives. We're a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you're inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today. Responsibilities • Drive the development of data pipelines and analytical products in the warehouse, ensuring reliable, performant systems and timely delivery of business-critical insights., • Work closely with business partners across Data Science, Machine Learning, Engineering, Product, and BizOps to align data initiatives with company needs and unlock new opportunities., • Define a vision for a scalable data model architecture in the warehouse, and create a roadmap for the team to iterate into that end-state., • Lead execution, ensuring the team delivers high-quality, reliable data solutions aligned with business priorities, including leading sprint ceremonies and roadmapping., • Oversee data integrity, documentation, testing, and monitoring across systems to ensure stakeholders can trust and self-serve on our data., • Guide and contribute to architecture and design decisions, resolve critical technical issues, and ensure scalable development across our data stack (Dagster, Snowflake, dbt, Fivetran, Hightouch, Hex, Tableau)., • Identify bottlenecks and implement improvements to team workflows, tools, and development practices., • Manage and mentor a growing team of data engineers; foster a culture of technical excellence, accountability, and continuous improvement., • Establish metrics to track progress, communicate priorities, and demonstrate business impact., • Define and maintain data governance standards and proactively manage stakeholder expectations to drive scalable, trusted data use., • Drive reliability, scalability, observability, security, and cost-efficiency improvements across our data stack., • Own company-wide KPI reporting, including ad hoc analysis, product analytics, and dashboard development, ensuring the team delivers clear, accurate insights in response to evolving business questions.Requirements, • 2+ years managing and mentoring data and analytics engineers, with a focus on execution and delivery, and 6+ years of data or analytics engineering experience total, • Proven ability to drive team operations, including sprint ceremonies, roadmap planning, and prioritization, • Hands-on background in building and maintaining ELT pipelines using SQL, DBT, and OLAP databases like Snowflake, • Proficiency in one or more programming languages (Python preferred), with the ability to guide and review technical work., • Experience with workflow orchestration tools like Dagster, Airflow, Prefect., • Skilled in developing scalable reporting solutions using tools like Tableau or Hex, and enabling self-serve analytics across the organization, • Strong data modeling, provenance, and governance skills to support extensible, trusted, and consistent reporting and patterns, • Track record of improving team processes, optimizing workflows, and delivering measurable impact, • Experience being an effective cross-functional partner with Machine Learning, Product, Analytics, and Engineering, aligning data work with business goals, • Clear, concise communicator who can translate complex technical concepts for non-technical stakeholders, • Comfortable navigating ambiguity, breaking down complex problems, and driving iterative solutions, • Committed people leader with a history of coaching talent and fostering a high-performance, inclusive team culture, • Familiarity with healthcare data standards (e.g. HIPAA, FHIR) is highly desirable, • Experience with AWS cloud technologies is preferredBenefits Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. Additional Information The total target base compensation for this role will be between $200,000 and $265,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values • Connection: Care deeply & inspire hope., • Congruence: Stay curious & heed the evidence., • Commitment: Act with urgency & don't give up. Please do not call our public clinical admissions line in regard to this or any other job posting. Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: . Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services. Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals. At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people. Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation. By clicking "Submit application" below, you agree to Charlie Health's Privacy Policy and Terms of Service. By submitting your application, you agree to receive SMS messages from Charlie Health regarding your application. Message and data rates may apply. Message frequency varies. You can reply STOP to opt out at any time. For help, reply HELP.

Job DescriptionSalary: $100k-$120k Location: Brooklyn/Remote Department: Partner Growth Reports To: President Job Type: Full-Time Position Summary At My IT Crew (MY IT CREW), we dont just serve clients, we partner with them. As a vCIO, you are the strategic quarterback for assigned accounts. This role blends relational leadership with technical and business acumen to ensure every client relationship is proactive, profitable, and aligned with MY IT CREWs commitment to world-class managed services. Youll be responsible for client satisfaction, strategic planning, and business expansion across the client lifecyclefrom onboarding through ongoing reviews and renewals. Youll lead recurring Technology Review Meetings, build annual IT roadmaps, quote solutions, manage licensing and lifecycle, and serve as the escalation point for account-related concerns. Your impact directly influences MY IT CREWs retention, revenue, and reputation. Key Responsibilities Client Strategy & Relationship Management • Serve as the single point of accountability for assigned clients post-onboarding., • Lead scheduled Cadence Calls and Technology Business Reviews (TBRs) to ensure alignment with client goals., • Develop and maintain strategic roadmaps aligned with client objectives and MY IT CREW best practices., • Anticipate needs through data and relationship cuesresolving concerns before they escalate., • Quote and scope solutions for hardware, licensing, services, and projects., • Identify and execute cross-sell and upsell opportunitiesmove clients toward standard stack adoption., • Collaborate with Project Engineers, TAMs, vCIOs, and Sales Engineers to ensure solution fit., • Own the lifecycle calendar: warranties, licensing, contract renewals., • Maintain asset intelligence via ITGlue., • Present lifecycle and licensing updates as part of proactive roadmap conversations., • Act as the non-technical escalation point for service dissatisfaction or process breakdowns., • Facilitate internal triage between Service, TAM, and Projects teams to resolve client issues., • Ensure all Technology Review Meetings follow My IT Crews playbook (agenda, post-review tasks, documentation)., • Keep ConnectWise, IT Glue updated with client notes, roadmap items, and account metrics., • Engage with TAMs, Projects, CS, and Centralized Services to execute client initiatives., • Deliver feedback loops from client interactions to internal stakeholders., • 2+ years in vCIO, Account Management, or Client Success within an MSP or IT consulting environment., • Working knowledge of IT infrastructure, MSP services, and business technology strategy., • Proficiency with quoting, solution design, and technology budgeting., • Experience using tools such as ConnectWise, ITGlue., • Exceptional relationship-building, communication, and follow-up skills., • Client Engagement: % of Cadence Calls and Technology Reviews completed on schedule., • Client Retention & CSAT: Retention rate of assigned accounts, CSAT from account-related tickets., • Opportunity Management: Revenue generated from quoting, % closed-won opportunities., • Lifecycle Execution: % of clients with current lifecycle plans and renewals handled on time., • Strategic Planning: % of clients with documented roadmaps and annual budgets., • Ticket Resolution: SLA compliance for account/quoting-related tickets. Culture Fit & Philosophy At My IT Crew, we are practical problem-solvers who believe in clarity, accountability, and momentum. We are not vendors, we are partners. Our clients rely on us to lead, not just react. As a vCIO, you will be the voice of that leadership. We are building something greatand this role is a cornerstone.

Job Description About Fin Fin is a next-generation payments platform built for high-value, global, and instant transactions. We are a Series A-stage company backed by Sequoia, Circle, and other notable investors. Powered by stablecoins, Fin enables users and businesses to move millions of dollars in seconds - whether to other Fin users, directly into bank accounts, or across crypto rails. By combining the speed of crypto with the reliability and trust of traditional finance, Fin reimagines how money moves worldwide. If banks and payment products were reinvented today, they would look like Fin. About the role We are looking for a Senior Full Stack Engineer to join the early team and help define how money moves on Fin. You will work closely with the CEO, CTO, and a small group of senior engineers to design and ship core product experiences, integrate with payment partners (Stripe, PayPal, on and off ramps, banks), and build the systems that let Fin handle millions of transactions safely and reliably. This is a highly autonomous role where you own projects end to end, from shaping the spec to deployment, and see your work in the hands of real users quickly. If you care about building simple products on top of complex systems and are excited about fixing how global payments work, we would love to talk. We value your time: our process focuses on practical system design and architectural discussions, not LeetCode grinding or unpaid take-home assignments. What you will do * Design, build, and ship full stack features across our web and mobile surfaces, from APIs and services to polished user interfaces. * Own projects end to end: work with product and leadership to scope requirements, design systems, implement, test, and ship to production. * Integrate third party payment and financial APIs, including processors, on and off ramps, compliance tooling, and identity providers. * Build scalable, high performance services that handle real money movement with strong reliability and observability. * Maintain a high bar for code quality through clean abstractions, tests, and thoughtful code review. * Collaborate closely with product, design, and operations so that what we ship feels simple for users even when the underlying system is complex. What you need to be successful * Deep experience with TypeScript and Node.js. We are mostly a TS shop with some pockets of Rust. * Production experience with React Native. Bonus points if you are familiar with the Expo ecosystem and modern mobile build pipelines. * Experience owning complex product changes from idea through launch, not just implementing narrow tickets. * Deep comfort debugging across the stack, from database and infrastructure issues to front end performance problems. * Solid understanding of security best practices, particularly around authentication, authorization, and handling sensitive data. * A strong sense of code quality, including testing, readability, and maintainability in a fast moving environment. * Clear written and verbal communication, and an ability to work closely with non engineering partners. * High tolerance for ambiguity and the necessary shifting targets that exist in an early stage start up environment. Bonus points * Experience in EITHER traditional fintech integrations (Stripe, Plaid, ACH rails) OR blockchain infrastructure (especially Solana in a production environment). * Prior startup experience where you were an early engineer and had meaningful product ownership. Compensation Range: $125K - $250K

Job DescriptionRezolve Ai (NASDAQ: RZLV) is an industry leader in AI-powered solutions, specializing in enhancing customer engagement, operational efficiency, and revenue growth. The Brain Suite delivers advanced tools that harness artificial intelligence to optimize processes, improve decision-making, and enable seamless digital experiences As a leader in Product Discovery, we empower retailers and brands with AI-driven search, conversational commerce, geofencing, and one-touch instant payments. With recent acquisitions of ViSenze, GroupBy and Bluedot, Rezolve is accelerating innovation at the intersection of AI, commerce, and customer engagement To help us build upon our success, we are seeking a Full Stack Software Engineer to contribute in improving our search system performance and scalability. The position reports to the Software Development Manager and will work in close conjunction with the Product, Algorithm/Data Science, and various Engineering teams · Design and implement robust and scalable web applications, covering both frontend and backend development· Collaborate with cross-functional teams to define, design, and ship new features· Ensure the technical feasibility of UI/UX designs and implement them accordingly· Develop responsive and user-friendly web interfaces using modern frontend technologies (HTML, CSS, JavaScript, React, Angular, or Vue.js)· Develop and maintain databases (SQL and/or NoSQL) to support the application· Design, implement, and maintain RESTful APIs for seamless communication between the front end and backend· Ensure API security, performance, and documentation· Implement automated testing strategies to guarantee the reliability and scalability of the application· Work closely with product managers, designers, and other stakeholders to understand project requirements and objectives· Collaborate with other engineers and contribute to a positive team environment· Identify and resolve performance bottlenecks, bugs, and technical issues· Conduct root cause analysis for issues and implement effective solutions Qualifications· Bachelor's degree in Computer Science or related field with a solid foundation in Computer Science· At least 4 years of proven experience as a Fullstack engineer or a similar role· Experience in scripting languages, such as Python for build automation and data processing· Experience in engineering pipeline tools such as airflow· Experience with database systems, both SQL and/or NoSQL· Experience in at least 1 front end framework, such as Angular or React· Solid understanding of data structure and algorithm· Experience in writing clean, reusable codes with great testability· A strong passion for learning and adapting to new technologies· Strong problem-solving skills and attention to detail· Excellent communication and collaboration skills Must HavesStrong interpersonal and communication skillsExperience in JAVA and JAVA SpringExperience in developing UI libraries by modern front-end javascript framework (preferably Angular)Familiarity with CI/CD pipelines and deployment processesKnowledge of HTTP and REST API design and implementation Rezolve is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Rezolve are based on business needs, job requirements, and individual qualifications, without attention to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, veteran or disability status, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Rezolve will not tolerate discrimination or harassment based on any of these characteristics. Rezolve encourages applicants of all ages We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionDescription: Paylocity is an award-winning provider of cloud-based HR and payroll software solutions, offering the most complete platform for the modern workforce. The company has become one of the fastest-growing HCM software providers worldwide by offering an intuitive, easy-to-use product suite that helps businesses automate and streamline HR and payroll processes, attract and retain talent, and build a strong workplace culture. While traditional HR and payroll providers automate basic HR processes such as payroll and benefits administration, Paylocity goes further by developing tools that HR and businesses need to compete for talent and deliver against the expectations of the modern workforce. We give our employees what they need to succeed, including great benefits and perks! We offer medical, dental, vision, life, disability, and a 401(k) match, as well as perks that support you, your family, and your finances. And if it’s career development you desire, we provide that, too! At Paylocity, people matter most and have always been at the heart of our business. As part of the Sales & Marketing team, you’ll help us solve challenges and succeed as you grow and understand the unique needs of our clients and tailor easy-to-use solutions to deliver the performance they need. With a position in Sales & Marketing, you’ll strengthen our relationships with clients, anticipate their needs, and think outside the box to unlock new possibilities. Position Overview This role focuses on developing new business opportunities with companies of up to 50 employees. It involves independently managing the full sales cycle in a fast-paced, competitive, and quota driven environment. Core responsibilities include generating leads, engaging prospective clients, and guiding them through a consultative sales process. Effectiveness in the role relies on strong prospecting skills, consistency in executing a defined sales approach, and the ability to operate with autonomy in the field. Primary Responsibilities: The below represents the primary duties of the position, others may be assigned as needed. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Determine prospective customers’ needs for HR technology to prospective companies with <50 employees, • Present Paylocity‘s tech stack to meet those needs in a specific geographic market, • Prepare and present proposals and provide timely follow-up throughout the sales process, • Complete and obtain documentation required for the conversion of data from the company’s previous payroll provider to the Paylocity system, • Work cross functionally to ensure the client has a smooth transition to Paylocity, • Using initiative, develop prospects through telemarketing, referrals, professional and personal contacts and other sources, • Build relationships with CPA’s and maintain existing CPA relationships, • Attend Paylocity-sponsored trade shows, conferences and other events to promote Paylocity services, • Meet or exceed monthly and annual sales quota for your territory, • HS diploma or equivalent required. College degree strongly desired, • 1-2 years experience in a sales position, • Ability and willingness to travel within assigned territory and meet prospects in person, • Ability to succeed in a competitive environment, • Ability to maintain high activity standards, • Critical thinking and decision-making skills required in order to handle objections and unexpected situations that may arise throughout the sales cycle, • Customer service orientation, • Strong presentation skills, • Strong written and oral communication skills, • Strong organizational and time management skills, • Ability to travel frequently, including by car, plane, or other forms of transportation., • Ability to drive for extended periods, often to client meetings, industry events, and other, • locations., • Ability to lift and carry sales materials or promotional items, weighing up to 15 pounds when, • necessary., • Ability to stand, walk, or engage in active discussions with clients for extended periods., • Ability to navigate various environments, such as office buildings, trade shows, or outdoor, • spaces during sales visits., • Ability to operate a mobile device, laptop, and other sales technology while on the go., • Ability to communicate effectively in person, on the phone, and via email., • Ability to engage in repetitive motions such as typing, dialing, or writing for extended, • periods when preparing reports, proposals, or emails. Fully Remote(U.S. Only): This is a fully remote position, allowing you to work from home or location of record within the U.S. with no in-office requirements. You must be available five days per week during designated work hours. The work arrangement for this role is subject to change based on business needs and individual performance. This may include adjustments to on-site requirements or schedule expectations, as necessary. Paylocity is an equal-opportunity employer. Paylocity is committed to the full inclusion of all individuals. We recruit, train, compensate, and promote regardless of race, religion, color, national origin, sex, disability, age, veteran status, and other protected status as required by applicable law. At Paylocity, we believe diversity makes us better. We embrace and encourage our employees’ differences in age, culture, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion or spiritual belief, sexual orientation, socio-economic status, veteran status, and other characteristics that make our employees unique. We actively cultivate these differences through our employee resource groups (ERGs), employee experiences, perspectives, talents, and approaches to drive innovation in the software and services we provide our customers. We comply with federal and state disability laws and make reasonable accommodations for applicants and employees with disabilities. To request reasonable accommodation in the job application or interview process, please contact . This email address is exclusively designated for such requests, aligning with federal and state disability laws. Please do not send resumes to this email address, as they will be removed. The pay range for this position is $41,700 - $77,500/yr; however, base pay offered may vary depending on job-related knowledge, skills, and experience. This position is eligible for our variable commission plan, annual bonus, and restricted stock until grant based on individual performance in addition to a full range of benefits outlined here. This information is provided per the relevant state and local pay transparency laws for the location in which this position will be performed. Base pay information is based on market location. Applicants should apply via . Requirements:

Job DescriptionLead Frontend Engineer - Decentralized Trading Platform (New York / Full-Time) Location: New York City (Hybrid) Compensation: $180K - $300K We are a well-funded, ambitious technology company on a mission to completely transform how financial markets operate. Our goal is simple: to enable anyone with a digital wallet to trade stocks, commodities, currencies, and crypto with complete transparency. We are replacing the opaque, offshore brokerage model with a transparent, permissionless trading stack built entirely on-chain. Every trade, deposit, and withdrawal is verifiable through open, auditable code. We've secured significant backing from top-tier venture capital and crypto-native investors. We are seeking a Lead Frontend Engineer to take complete ownership of the client-side architecture for our core trading interface. You will be the technical leader for the frontend team, driving technical decision-making and ensuring a high-performance, resilient user experience for real-time trading. This role requires deep expertise in modern React/Next.js and mastery of complex Web3 integrations. Key Responsibilities: • Architecture & Leadership: Drive the strategic evolution of our client-side architecture and mentor the engineering team to enforce high standards of code quality and modular design., • Web3 Integration: Architect robust, secure wallet connectivity and authentication systems to ensure seamless and secure interaction with on-chain protocols., • Performance: Optimize rendering pipelines and state management to reliably handle massive real-time market data streams with sub-second latency., • UI/UX Implementation: Lead the implementation of a scalable, responsive component library designed to deliver a complex, data-rich trading experience., • Experience: Demonstrated leadership and deep experience (7+ years) in Full Stack or Frontend Engineering., • Frameworks: Deep expertise with Next.js and React (v18+)., • Language: Strong proficiency in TypeScript., • Web3 Integration: Proven experience with modern Web3 libraries such as Wagmi, Viem, and/or Ethers.js for blockchain interaction., • State & Data Management: Proficiency with GraphQL (Apollo Client) and TanStack Query for efficient data fetching and state management., • Styling: Proficiency in Tailwind CSS and experience designing scalable component libraries. Preferred Qualifications • Previous experience in Decentralized Finance (DeFi) or traditional trading platforms., • Experience with high-frequency trading systems or real-time data processing., • Experience integrating and customizing advanced charting libraries (e.g., TradingView)., • Understanding of perpetuals trading, Real World Asset (RWA) markets, and core DeFi primitives., • Compensation: Highly competitive compensation package, including both tokens and equity., • Technology: Opportunity to work at the cutting edge of blockchain, DeFi, and RWA technology., • Environment: A collaborative environment working alongside highly skilled team members., • Flexibility: Flexible work arrangements., • Development: Generous professional development opportunities. Due to the high volume of applications we anticipate, we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application, please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing . MLabs Ltd collects and processes the personal information you provide such as your contact details, work history, resume, and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltd’s Privacy Policy and Information Security Policy, and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting .

Job Description Hi, we're Oscar. We're hiring an Associate, Medical Economics to join our Medical Economics team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family. About the role: The Associate, Medical Economics, is part of our Medical Cost Analytics team within the Medical Economics department. The Associate reports to the Senior Director, Medical Economics, and is part of a team that analyzes medical costs to understand trend drivers, project financial outcomes, monitor programs, and identify cost savings opportunities. You will partner with Medical Economics leadership, Data Science, Finance, Payment Integrity, and other analytic support responsibilities to ensure accurate projections are reflected in management reporting. You will report into the Senior Director, Medical Economics. Work Location: This position is based in our New York City office, requiring a hybrid work schedule with 3 days of in-office work per week. Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid Pay Transparency: The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses. Responsibilities: • Work under the guidance of the Senior Director, Medical Economics., • Maintain sophisticated models to forecast the financial impact of proposed changes to clinical and payment policies. Conduct sensitivity analyses and stress testing on models to understand the range of potential outcomes under multiple utilization and cost scenarios., • Develop knowledge of industry best practices and work to drive innovation., • Perform in-depth analysis of integrated claims and operational data (medical, pharmacy, lab, auths) to identify cost and trend drivers., • Provide proactive financial guidance on latest clinical trends and their potential impact on our financial performance., • Accomplish retrospective studies to measure the actual financial and clinical outcomes of implemented policies, comparing results against initial projections., • Build repeatable analytic processes that scale across programs., • Create executive-ready visualizations tailored to different stakeholder audiences (clinical vs. financial)., • Promote and shape Oscar best practices concerning automation and documentation. Contribute to department initiatives around automation, AI use, and tooling improvements., • Compliance with all applicable laws and regulations, • College degree in a STEM field: e.g. Economics, Actuarial Science, Health Economics, Biostatistics, Health Informatics, Health Services Research., • 4+ years of quantitative analysis experience using SQL., • Associate or Fellow of the Society of Actuaries (SOA), or on the track to become one. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team () to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.