Distinguished AI Engineer

🕒 Ontem

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

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💵 $244.700 - $279.200 / ano

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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👻 Score fantasma 0%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Capital One

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, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability • Leverage Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch • Invent and introduce state-of-the-art LLM optimization techniques to 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 at Capital One

🎯 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 a Master's degree in those fields plus at least 6 years of such experience • At least 8 years of experience programming with Python, Go, Scala, or Java • 8 years of experience deploying scalable and responsible AI solutions on cloud platforms is preferred • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems is preferred • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level is preferred • Experience developing AI and ML algorithms or technologies, including LLM Inference, Similarity Search and VectorDBs, Guardrails, and Memory, using Python, C++, C#, Java, or Golang is preferred • Experience developing and applying state-of-the-art techniques for optimizing training and inference software is preferred • Passion for staying abreast of the latest AI research and AI systems and applying novel techniques in production is preferred • Excellent communication and presentation skills are preferred

🏖️ 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 • Potential employment authorization sponsorship for a new qualified applicant • Reasonable accommodations for applicants who require them • Drug-free workplace

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