Head of Machine Learning, MCM

Moloco • Menlo Park, CA

5d

About The Position

About Moloco: Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy. Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance. Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin. Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now! The Impact You’ll Be Contributing to Moloco: As the Head of Machine Learning, MCM, you’ll be the senior technical lead for MCM’s ML modeling stack—owning core CTR/CVR and retrieval models that directly move ad spend and revenue for our commerce media customers. You’ll lead a team of industry ML experts and shape how we design, ship, and maintain production ML across multiple platforms, while mentoring those experts and scaling the engineering practices and rigors.

Requirements

• 7+ years in applied ML, especially in state-of-the-art recommendation modeling, including shipping large‑scale ranking, transformer/embedding-based CTR/CVR and retrieval models.
• Experience owning ML systems end‑to‑end—data, modeling, ML infra, and production monitoring.
• Strong experimentation experience, including designing A/B tests, interpreting noisy results, and making principled rollout decisions across platform tiers.
• Fluent in Python and modern ML frameworks (e.g., TensorFlow or equivalent) and comfortable working with large‑scale data and cloud‑based infra.
• 5+ years of management or tech lead experience leading a team of 7+ engineers

Responsibilities

• Lead technical strategy and direction for MCM ML, building next generation recommendation ML architecture, while constantly delivering measurable impacts.
• Own end‑to‑end model lifecycle (design, offline eval, deployment, ramp, monitoring) for production models that power multiple MCM platforms
• Drive initiatives to scale ML infrastructure to support millions of model trainings for thousands of models and improve maintainability and unlock future modeling work.
• Set experimentation and rollout standards, including ramp plans by platform tier, offline→online validation, and go/no‑go decisions.
• Partner crossfunctionally with Product, Strategic Growth, Business Development, Infra, Data Science, and Engineering to turn customer and QBR feedback into features and signals (e.g., discounts, coupons, metadata) for better personalization.
• Ensure reliability of ML in production, working with engineering and oncall to investigate rollout issues, debug edge cases, and define safe remediation before ramping.
• Manage and grow ML experts in the team, providing technical guidance, performance feedback, and career development, and acting as hiring manager for senior/staff MLE roles.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees