AI Engineer
BiorenderSalary not specified
Full Time
Mid-level (3 to 4 years)
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Banking, Financial ServicesIndustries
Requirements
- Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
- At least 6 years of experience (incomplete in description, implied as relevant technical experience)
- Passion for staying abreast of the latest research and ability to intuitively understand scientific publications and judiciously apply novel techniques in production
- Ability to adapt quickly and thrive on bringing clarity to big, undefined problems, with a love for asking questions, digging deep, and articulating findings concisely
- Courage to share new ideas even when unproven
- Deeply technical with strong foundation in engineering and mathematics, and expertise in hardware, software, and AI to identify optimization opportunities
- Resilient trailblazer who can forge new paths to achieve business goals when the route is unknown
Responsibilities
- Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how associates work and 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
- 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 performance (scalability, cost, latency, throughput) of large scale production AI systems
- Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What specific responsibilities does this role involve?
This role involves partnering with cross-functional teams to deliver AI-powered products, designing and developing AI software components like foundation model training and LLM inference, leveraging technologies such as AWS Ultraclusters and PyTorch, inventing LLM optimization techniques, and contributing to the technical vision of foundational AI systems.
What technologies will I work with in this position?
You will leverage a broad stack of Open Source and SaaS AI technologies including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
What is the employment type for this role?
The position is full time.
What qualities make an ideal candidate for this role?
The ideal candidate loves to build systems, takes pride in work quality, shares passion for changing banking for good, stays abreast of latest research, intuitively understands scientific publications, applies novel techniques in production, adapts quickly, and thrives on challenges.
What is the team structure like for this position?
You will partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers as part of the Intelligent Foundations and Experiences (IFX) team.
Capital One
Offers diverse financial products and services
About Capital One
Capital One provides a variety of financial services aimed at making banking accessible and easy for everyone. The company offers products such as credit cards, savings accounts, car loans, and business checking accounts, catering to both individual consumers and small businesses primarily in the United States. Capital One's approach includes user-friendly banking solutions with no fees or minimums for checking accounts, allowing customers to manage their finances more effectively. They generate revenue through interest on loans, credit card fees, and investment banking services. What sets Capital One apart from its competitors is its strong commitment to financial inclusion and literacy, demonstrated through community partnerships and educational initiatives, such as collaborations with Khan Academy. The company's goal is to create a more inclusive financial system and empower customers with the knowledge and tools they need to make informed financial decisions.
McLean, VirginiaHeadquarters
2014Year Founded
$15.9MTotal Funding
IPOCompany Stage
Fintech, Financial ServicesIndustries
10,001+Employees
Benefits
Medical, Dental, & Vision coverage
Onsite Health Centers
Prescription saving with network of local pharmacies
Stock Purchase Plan
Education Assistance
401(k)
Flexible Spending Accounts
Life and Disability insurance
Generous paid time off + corporate & floating holidays
Registered dieticians on site, cooking classes and free virtual fitness classes
Employee Assistance Program
Risks
Increased competition in subscription management tools may dilute Capital One's advantage.
Over-reliance on partnerships could expose Capital One to technological risks.
Departure of key personnel like Joe Rodriguez may affect risk management continuity.
Differentiation
Capital One offers user-friendly banking with no fees or minimums for checking accounts.
The company partners with Khan Academy to provide financial literacy education.
Capital One is the first major U.S. bank to offer subscription management tools.
Upsides
Capital One's mobile app is a model for secure, user-friendly digital banking.
Data sharing with Worldpay enhances payment security and fraud prevention.
Partnerships with fintechs like Minna Technologies improve customer experience.
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