Senior Machine Learning Engineer (Mandarin speaking)

Confirmed live in the last 24 hours

Moloco

Compensation

$197,600 - $247,000/year

Menlo Park, California, United States; Seattle, Washington, United States

On-site

Posted March 9, 2026

Job 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 enables retailers and marketplaces 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, 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 a Senior Machine Learning Engineer on Moloco’s Ads Quality team, you’ll design and scale machine learning systems that directly improve ad relevance, ranking, and optimization. Your work will have a measurable impact on advertiser performance, revenue efficiency, and the overall user experience across Moloco’s ad platform.

The Opportunity:

Design, build, and deploy large-scale ML systems for ad ranking, click-through prediction, and conversion optimization
Develop and operate production pipelines that process hundreds of millions of ad requests per day with low-latency requirements
Collaborate directly with customers and partners in Mandarin to understand business goals and deliver data-driven ML solutions
Apply systematic, reproducible approaches to model training, evaluation, and continuous improvement
Partner with the Machine Learning Infrastructure and Data teams to improve tooling, deployment pipelines, and training efficiency
Lead design and code reviews to promote technical excellence and standardize ML practices across Ads teams
Diagnose model performance, identify optimization opportunities, and execute experiments that drive measurable results
Mentor engineers on best practices for ML experimentation, productionization, and scaling
Work cross-functionally with product, infrastructure, and business teams to align technical innovations with product goals

How Do I Know if the Role is Right For Me?

You have 7+ years of experience building and deploying ML systems at scale, ideally in AdTech, recommender systems, or search/ranking domains
You’ve shipped models that directly improved key product or business metrics such as CTR, CVR, or ROI
You’re fluent in Mandarin Chinese and skilled at collaborating with customers or partners in technical discussions
You have strong software engineering fundamentals: data structures, algorithms, and system design and proficiency in Python (C++ or Java a plus)

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