Staff AI Engineer

🕒 Outubro 1

🏄 California, New York, +2 estados a mais – Remoto

🏄 California – Remote 🗽 New York – Remote 🍂 Massachusetts – Remote ⚔️ Virginia – Remote

💵 $244.700 - $279.200 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

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Capital One

SiteLinkedInTodas as Vagas

10.000+ funcionários

🏦 Bancário

💳 Fintech

💸 Finanças

💰 Post-IPO Equity em 2023-05

Banking • Fintech • Finance

A Capital One é uma empresa de serviços financeiros especializada em cartões de crédito, bancos e empréstimos. Comprometida com a inovação, a Capital One combina tecnologia e estratégias baseadas em dados para aprimorar a experiência do cliente e melhorar seus serviços bancários. A empresa também enfatiza a diversidade, inclusão e uma cultura de trabalho colaborativa, enquanto oferece uma ampla gama de oportunidades de emprego em várias áreas, incluindo finanças, tecnologia e atendimento ao cliente.

Descrição

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products • Design, develop, test, deploy, and support AI software components including foundation model training, LLM inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability • Leverage open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, VectorDBs, and PyTorch • Invent and introduce state-of-the-art foundation model optimization techniques • Improve scalability, cost, latency, and throughput of large-scale production AI systems • Contribute to the technical vision and long-term roadmap of foundational AI systems • Set technical direction for enterprise-wide AI architecture and unify tooling, observability, and deployment standards • Own the design and integration of model routing, caching, and orchestration systems for hybrid and multi-model workloads • Champion responsible AI principles, transparency, reproducibility, and fairness-by-design • Drive internal education, mentorship, and best-practice dissemination through architecture councils and AI guilds

🎯 Requisitos

• 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 Master's degree in one of these fields plus at least 6 years of experience • At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java • Experience designing AI systems with cost, latency, throughput, and accuracy tradeoffs • Experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems • Experience leading and mentoring multiple engineering teams and influencing cross-functional stakeholders up to the VP level • Experience developing AI and ML algorithms or technologies using Python, C++, C#, Java, CUDA, or Golang • Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost • Experience building agentic AI systems and workflows • Experience with AI research and applying novel techniques in production • Excellent communication and presentation skills for articulating complex AI concepts • Track record defining and operationalizing enterprise AI architecture standards, including data pipeline governance, observability, and evaluation frameworks • Experience leading federated or multi-cloud AI strategies • Experience influencing research-to-production promotion processes • Experience defining north-star metrics for AI systems • Experience right-sizing models, instance counts, and hardware types • Capital One will consider sponsoring a new qualified applicant for employment authorization

🏖️ Benefícios

• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI) • Comprehensive health, financial, and other benefits supporting total well-being • Employment authorization sponsorship may be considered for a new qualified applicant • Reasonable accommodations for applicants who require them