Lead AI Engineer, AI Foundations

🕒 April 24

🏢🏡 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 • Invent and introduce state-of-the-art LLM optimization techniques to improve performance of large scale production AI systems • Contribute to the technical vision and the long term roadmap of foundational AI systems

🎯 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, • A Master's degree in related fields plus at least 2 years of experience developing AI and ML algorithms or technologies • 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) • Experience designing, developing, delivering, and supporting AI services • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost

🏖️ Benefits

• Health insurance • Competitive salary • Flexible work arrangements • Performance based incentive compensation • Comprehensive benefits package