Staff AI Engineer

🕒 Setembro 29

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

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

💵 $244.700 - $335.100 / 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 to improve scalability, cost, latency, and throughput • 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, including transparency, reproducibility, and fairness-by-design • Drive internal education, mentorship, and dissemination of best practices 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 those 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 tradeoff decisions around cost, latency, throughput, and accuracy • 8+ years of 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 VP level • Experience developing AI and ML algorithms or technologies, including LLM inference, similarity search, VectorDBs, guardrails, and memory • Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost • Experience building agentic AI systems and workflows • Excellent communication and presentation skills • 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 bonus(es) and/or long-term incentives (LTI) • Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being • Remote work eligibility