Hiring: Senior Machine Learning Engineer, Moloco NEXT Company: Moloco Location: Menlo Park, CA Job Posted Time: 2026-09-12 10:14:35 Target Skills & Keywords : LLM, Machine Learning, Python, User Experience About the job Experience: •5+ years of machine learning experience with a track record of shipping production-grade models in business-critical environments. We don't filter on degrees. Required Skills: •Own a production CTR/CVR prediction model end-to-end — modeling, eval, feature pipelines, online experimentation, and post-launch ops. By month six, you'll own a meaningful slice of NEXT's ML stack. •Hunt for the missing signals that move the needle: new data sources to log and ingest, derived and contextual features the current model doesn't yet see. On NEXT, most wins come from finding signals others missed — not from architectural cleverness. •Run the loop fast: design offline evaluation, ship to online A/B, read out in days, iterate. Diagnose the offline-online divergences when they show up — and they will. •Build the agentic tooling that automates parts of our experiment-debugging and signal-discovery workflow, both as a contributor and as a user. •Set technical direction. Decide what NEXT should bet on next quarter, not just execute on assignments. Bridge to the data and pipeline teams whose signals feed our models — most signal-hunting wins depend on getting those teams aligned. •Embrace the unglamorous parts: data-quality instrumentation, train/serve consistency in feature pipelines, slicing eval to find failure modes, and the careful experiment debugging that separates real wins from noise. •How Do I Know if the Role is Right For Me? •Bonus: experience using LLMs as agents or feature extractors — especially in evaluation, experiment debugging, or signal-discovery contexts. Compensation: •$200,000 - $260,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!