Senior ML Engineer

4 months ago

Base Salary

$200k - $350k/yr

Responsibilities

Design, build, and optimize ML pipelines for context retrieval, action detection, and output generation.
Implement and iterate on RAG systems, ranking models, and prompt engineering to improve quality.
Build comprehensive evals and monitoring to measure and improve ML system performance.
Investigate alternative models and fine-tuning approaches for background processing workloads.
Collaborate with Backend and Product Engineering to ship AI-powered features.
Contribute to ML infrastructure decisions and best practices across the engineering organization.
Stay current on LLM advances, retrieval techniques, and ML tooling.

4+ years in ML/AI engineering with significant experience shipping production systems.
Strong software engineering fundamentals with clean, maintainable code.
Deep experience with retrieval, ranking, RAG, or search systems at scale.
Hands-on proficiency with PyTorch, vector databases, and modern ML infrastructure.
Experience with LLM applications including prompt engineering and eval frameworks.
Product thinker who connects ML products to constraints, evals, and modeling.
Bias toward action with a focus on fast shipping and data-driven iteration.
Ownership mentality with a collaborative mindset and excellent communication skills.
Must be based in or willing to relocate to SF.

PyTorch