Senior Member of Technical Staff

Department: Engineering

Location: San Francisco

Employment Type: FullTime

About the Role

Join a small engineering team building AI tools for law enforcement and the broader criminal justice system. In this high-autonomy role, you will develop secure systems that help investigators search and analyze complex evidence, supporting important public safety work.

What You'll Do

• Build resilient, secure distributed systems for AI-powered evidence search and analysis.

• Deploy large language models, vision models, and other machine learning systems in production settings.

• Design retrieval-augmented generation pipelines and semantic search for unstructured evidence.

• Build structured data systems, including query planning and semantic reasoning capabilities.

• Work with agentic systems that can reason, plan, and take actions across investigative data.

• Evaluate emerging AI models and infrastructure approaches, and drive projects from problem definition through delivery.

What We're Looking For

• At least 6 years of backend engineering experience building distributed systems, including production deployment of LLMs, vision models, or other machine learning systems.

• Proficiency in Python and multiple programming languages, potentially including JavaScript and React.

• Experience designing RAG or similar pipelines for unstructured data, and building structured data systems with query planning, semantic modeling, or reasoning.

• Experience working across multiple infrastructure providers, with security and resilience as core considerations.

• A strong engineering background that includes experience in both an established organization and an early-stage startup.

• Curiosity about AI, comfort with ambiguity, and motivation to contribute to public safety.

• Authorized to work in the United States. Visa sponsorship is not available.

Compensation & Benefits

The salary range is $150,000 to $215,000 annually. Visa sponsorship is not available.

Location

This is a hybrid role based in San Francisco, California.