Staff Machine Learning Engineer
AngiFull Time
Expert & Leadership (9+ years)
San Francisco, California, United States
Key technologies and capabilities for this role
Common questions about this position
Candidates must be located in the San Francisco Bay Area with an in-office requirement of 3 days a week.
The role requires 9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields.
Key skills include expertise in designing scalable backend systems, agentic workflows, AI evaluation solutions, prompt management, Python, FastAPI, AWS, Databricks, Docker, Kubernetes, Terraform, Snowflake, and GitHub.
The team is accomplished and motivated, emphasizing collaboration with technical and non-technical colleagues, coaching and mentoring ML engineers, and promoting a culture of collaboration, continuous improvement, and engineering excellence.
Strong candidates have 9+ years of experience in ML engineering with emphasis on secure, large-scale distributed systems, AI/ML pipelines, scalable backend design using best practices like domain-driven design and microservices, plus deep expertise in agentic workflows and the listed tools.
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