Lead AI Engineer

🕒 May 27

🏢🏡 New York City – Hybrid

💵 $197.3k - $245.6k / year

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Capital One

WebsiteLinkedInAll Job Openings

10,000+ employees

🏦 Banking

💳 Fintech

💸 Finance

💰 Post-IPO Equity on 2023-05

Banking • Fintech • Finance

Capital One is a leading financial services company that specializes in offering credit cards, auto loans, banking, and savings accounts. With a focus on innovation and technology, Capital One aims to change banking for good by providing customer-friendly solutions and fostering a diverse and inclusive workforce. The company is known for its commitment to creating a positive impact in the banking industry through advanced digital tools and customer service excellence.

📋 Description

• Partner with a cross-functional team of 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 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 the performance of large scale production AI systems • Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

🎯 Requirements

• Bachelor'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, or a Master's degree in these fields plus at least 2 years of experience • At least 4 years of experience programming with Python, Go, Scala, or Java • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) preferred • Experience designing, developing, delivering, and supporting AI services • Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost • Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production.

🏖️ Benefits

• Performance based incentive compensation, which may include cash bonuses and/or long term incentives (LTI) • Comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well-being.