CareerPlan

Staff Machine Learning Engineer, Homefeed

San FranciscoFull-time$189k–$390k2026-11-02 → 2026-11-10
Hybrid · United States

Core

Building agentic AI systems (Reflex) to automate recommendation research and development, including LLM agents for hypothesis generation, implementation, and evaluation, plus generative retrieval models (Semantic IDs).

Role type

Staff Machine Learning Engineer (Agentic AI & Recommendation Systems)

Builds

Automated research agents, generative retrieval models, and production recommendation systems

Domain

Internet / Recommendation Systems / Agentic AI

Deliverable

production ML models

Required skills

LLM agents, agentic AI systems, recommendation systems, generative retrieval, Semantic IDs, ML fundamentals, software engineering, technical leadership, research-to-production, rigorous evaluation

Preferred skills

Applied LLMs, representation learning, ML systems, mentoring

Technologies

LLMs, Semantic IDs, ML infrastructure

Responsibilities

Own and advance automated recommendation research; Build LLM agents for the full research lifecycle; Develop rigorous evaluations for agent behavior; Contribute to generative retrieval and Semantic ID learning; Take prototypes to production; Build reliable ML infrastructure integrations; Mentor engineers and raise technical quality.

Seniority

Staff, hands-on IC with technical leadership