Director, Distinguished AI Engineer

Job not on LinkedIn

October 21

Apply Now
Logo of Capital One

Capital One

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.

10,000+ employees

🏦 Banking

💳 Fintech

💸 Finance

💰 Post-IPO Equity on 2023-05

📋 Description

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. • 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, etc. • 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 — scalability, cost, latency, throughput — 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, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies • 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 (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) • Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems • Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level • 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 • Master's degree in Computer Science, Computer Engineering, or relevant technical field • Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.

🏖️ Benefits

• Health insurance • 401(k) matching • Paid time off • Professional development opportunities

Apply Now

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