Senior Staff AI Engineer

🕒 Setembro 25

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

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

💵 $286.200 - $392.000 / ano

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 0%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

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 • Define and steer technical AI architecture, integrating applied research into reliable, scalable production ecosystems • Establish AI performance, safety, and transparency standards for company-wide model development and deployment • Drive multi-year platform initiatives unifying data, compute, and model lifecycle management under an enterprise AI architecture • Mentor senior technical leaders across research, data, and engineering disciplines

🎯 Requisitos

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field plus at least 10 years of experience developing AI and ML algorithms or technologies; or Master's degree in a related field plus at least 8 years of such experience • At least 10 years of programming experience with Python, Go, Scala, CUDA, or Java • Preferred: Experience architecting AI platforms with cost, latency, throughput, and accuracy tradeoffs • Preferred: 9+ years deploying scalable and responsible AI solutions on cloud platforms • Preferred: Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems • Preferred: Ability to lead and mentor multiple engineering teams and influence senior cross-functional stakeholders • Preferred: Experience with AI/ML technologies including LLM inference, similarity search, VectorDBs, guardrails, and memory • Preferred: Experience optimizing training and inference software for hardware utilization, latency, throughput, and cost • Preferred: Experience building agentic AI systems and workflows • Preferred: Experience with current AI research and applying novel techniques in production • Preferred: Excellent communication and presentation skills for articulating complex AI concepts • Preferred: Industry leadership in applied AI or machine learning infrastructure through patents, publications, or open-source leadership • Preferred: Experience designing long-term AI infrastructure strategies balancing cost, scale, ethics, and regulatory compliance • Preferred: Experience driving organization-wide AI safety, alignment, and governance standards • Preferred: Ability to shape R&D investment strategy around breakthrough AI capabilities • Preferred: 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 • Reasonable accommodations for applicants with disabilities