Capital One OPT Eligible Jobs USA
Capital One hires OPT students across technology, data science, finance, and business analysis roles. Known for structured early-career programs and a clear path to H-1B visa sponsorship, it's a strong target for F-1 students in banking and financial services looking to build a U.S. career.
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Get Access To All JobsINTRODUCTION
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.
COMPENSATION
- McLean, VA: $197,300 - $225,100 for Lead AI Engineer
- Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer
- New York, NY: $215,200 - $245,600 for Lead AI Engineer
- San Jose, CA: $215,200 - $245,600 for Lead AI Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com.
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).
INTRODUCTION
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.
COMPENSATION
- McLean, VA: $197,300 - $225,100 for Lead AI Engineer
- Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer
- New York, NY: $215,200 - $245,600 for Lead AI Engineer
- San Jose, CA: $215,200 - $245,600 for Lead AI Engineer
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com.
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 Roles at Capital One
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Get Access To All JobsTips for Finding Capital One OPT Eligible Jobs USA
Target Capital One's tech and data teams
Capital One's engineering, data science, and machine learning teams hire OPT students far more consistently than its corporate functions. Prioritize roles under its Technology or Enterprise Data organization when searching, since those teams run the most structured early-career OPT pipelines.
Confirm E-Verify enrollment before accepting
STEM OPT requires your employer to be enrolled in E-Verify. Capital One is enrolled, so your 24-month STEM extension is supported. Still, verify enrollment status in your offer documentation before signing, since subsidiary entities occasionally differ from the parent company's E-Verify registration.
Time your application around Capital One's recruiting cycle
Capital One runs its largest technical hiring cohorts in fall and spring. Applying outside these windows, especially in summer for non-internship full-time roles, reduces your chances of reaching a hiring manager before OPT timelines become a concern in the offer stage.
Frame your OPT timeline clearly in applications
Recruiters at large financial institutions screen for work authorization early. State your OPT end date and STEM extension eligibility upfront in your application. If your degree qualifies for STEM OPT, include your CIP code field of study so recruiters can confirm USCIS eligibility without back-and-forth.
Use Migrate Mate to find verified H-1B filing history
Capital One's H-1B filing history by role and department is searchable on Migrate Mate. Before applying, check which job titles Capital One has sponsored in the past. That filing data tells you which roles have a realistic path from OPT to H-1B sponsorship at this employer.
Prepare for a technical interview process aligned to finance
Capital One's OPT-eligible roles in engineering and analytics typically require a multi-round technical interview covering system design, SQL, and machine learning fundamentals. Candidates who align their preparation to financial services use cases, like fraud detection or credit modeling, tend to progress further than those with generic practice.
Capital One OPT Eligibility: Frequently Asked Questions
Does Capital One sponsor OPT visas?
Capital One doesn't sponsor OPT itself. OPT is work authorization USCIS grants directly to F-1 students, not something an employer files or petitions for. What Capital One does is hire students who already hold an OPT EAD, and it's enrolled in E-Verify, which means it can support your STEM OPT 24-month extension as well.
Which departments at Capital One typically hire OPT students?
Capital One's technology, data science, and enterprise analytics divisions hire the most OPT students. Software engineering, machine learning engineering, and data analyst roles within its technology organization are the most common entry points. Business analyst and finance rotational roles also hire OPT students, though with less regularity than the technical tracks.
How do I navigate the OPT hiring process at Capital One?
Apply during Capital One's primary recruiting cycles in fall or spring, and disclose your OPT authorization status and end date early in the process. You don't need to file anything with Capital One for OPT itself. For a STEM extension, your DSO files the updated I-20 and you file with USCIS. Capital One's E-Verify enrollment satisfies the employer-side requirement.
How do I know if Capital One will sponsor my H-1B after OPT?
Migrate Mate's employer search shows Capital One's H-1B filing history broken down by job title and year. Before accepting an offer, check which roles Capital One has filed H-1B petitions for in the past. Roles with consistent H-1B filings in your function are the strongest indicators that sponsorship is part of Capital One's standard employment track for that position.
What's the typical timeline from OPT hire to H-1B filing at Capital One?
If Capital One hires you on OPT and intends to sponsor H-1B, the process typically begins in January or February before the April H-1B lottery. You'd need to be employed by then to be included. STEM OPT extends your work authorization up to 24 months past your initial OPT end date, which gives you enough runway to go through one or two lottery cycles.
How does Capital One hire OPT students?
OPT is work authorization granted directly to F-1 students after graduation — no employer petition is required. Capital One can hire OPT students as soon as their EAD card is approved. STEM degree holders can extend OPT by 24 months when their employer is enrolled in E-Verify. Most companies that hire OPT students also support the transition to H-1B when the student's OPT period is ending. Check Capital One's individual postings on Migrate Mate to confirm OPT acceptance per role.