# Senior Machine Learning Engineer, Moloco NEXT at MOLOCO

- Company: MOLOCO
- What the company does: Moloco’s AI advertising platform bids into a trillion auctions a day so apps and retailers can find, convert, and grow customers at global scale.
- Company website: https://www.moloco.com
- Type: Startups (AI role)
- Level: Senior
- Location: Menlo Park, California, United States
- Work setup: On-site
- Posted: 2026-07-29
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/moloco/jobs/7812289003
- Page: https://www.1752.vc/careers/jobs/moloco-senior-machine-learning-engineer-moloco-next/

## About the role

U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, basic life insurance, and well-being benefits and perks. U.S.-based employees also receive up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter. Additionally, all employees have Flexible Time Off (FTO).

## What they're looking for

- 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
- 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
- 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
- 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
- Experience with data analysis

Tags: Moloco Next