Machine Learning Engineer Lead
7 days ago
About the Role:
We are looking for an experienced Machine Learning Engineer Lead to join our team at Capital One. As a Machine Learning Engineer Lead, you will be responsible for leading the development of AI and ML algorithms and technologies.
Key Responsibilities:
- Partner with cross-functional teams to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
- Lead the design, development, testing, deployment, and support of 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.
- Develop and apply state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or AI plus at least 4 years of experience developing AI and ML algorithms or technologies, or Master's degree.
- At least 4 years of experience programming with Python, Go, Scala, or Java.
Estimated Salary: $146,700 - $167,500 per year (San Francisco and San Jose, California, Hybrid On-Site)
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