Head of Machine Learning, MCM

Moloco • Menlo Park, CA

6d

About The Position

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