Senior Machine Learning Engineer, AI Platform & Agentic Apps

Job Description

Design and build the core agent harness for orchestration, tool integration, and memory management to power both internal and customer-facing AI agents. Develop trajectory-level evaluation systems and action-level guardrails to ensure agent safety, reliability, and performance at scale.

Requirements: Requires 10+ years of experience as a Machine Learning Engineer with strong Python and distributed-systems fundamentals and a track record of shipping LLM-powered systems. Candidates must have a Master's degree in Computer Science or equivalent experience and deep expertise in building and evaluating agentic systems.

Key Skills: Machine learning, Python, Distributed systems, LLM, Agentic AI, Orchestration, Tool integration, Context management, Trajectory-level evaluation, Simulation environments, Action guardrails, Permission models, Sandboxing, System architecture, Mentorship, Production tracing

Benefits: Performance driven compensation, Bonus programs, Equity ownership, 401(k) matching, Health insurance, Robinhood Employee Fund, AI tools access, Lifestyle wallet, Life & disability insurance, Fertility benefits, Mental health benefits, Paid time off, Parental leave, Catered meals