Head of Machine Learning, MCM at Moloco

Menlo Park, California, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Apr, 26

Salary

0.0

Posted On

24 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Recommendation Modeling, CTR Models, CVR Models, Data Management, ML Infrastructure, Production Monitoring, Experimentation, A/B Testing, Python, TensorFlow, Cloud-Based Infrastructure, Team Leadership, Technical Guidance, Performance Feedback, Career Development

Industry

Advertising Services

Description

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. The Opportunity: 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. How Do I Know if the Role is Right For Me? 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 Moloco Thrive: Benefits and Well-Being: We take care of you and create the conditions for you to do the best work of your career. We offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives. Moloco Values: Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success. Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible. Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value. Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail. Additional Resources: Moloco Company Blog Moloco Leadership Moloco Newsroom Equal Opportunity: Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy. Moloco is an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by law. Candidate Privacy Notice: Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

Responsibilities

Lead the technical strategy and direction for MCM's ML modeling stack, owning core models that impact ad spend and revenue. Manage a team of ML experts, ensuring the reliability of ML in production and driving initiatives to scale ML infrastructure.