Senior Machine Learning Engineer; Mandarin speaking

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 You Tube's monetization engine and key search advertising technologies, we are transforming how businesses grow and compete in the digital economy. Built with AI from day one, our planet‑scale machine learning platform powers a suite of solutions for advertising growth and monetization, including Moloco Ads and Moloco Commerce Media.

Moloco is headquartered in Silicon Valley and has offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

As a Senior Machine Learning Engineer on Moloco’s Ads Quality team, you will 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 our ad platform.

• 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

• 7+ years of experience building and deploying ML systems at scale, ideally in AdTech, recommender systems, or search/ranking domains
• Shipped models that directly improved key product or business metrics such as CTR, CVR, or ROI
• Fluent in Mandarin Chinese and skilled at collaborating with customers or partners in technical discussions
• Strong software engineering fundamentals: data structures, algorithms, system design, and proficiency in Python (C++ or Java a plus)
• Experience with modern ML frameworks such as PyTorch, Tensor Flow, or JAX
• Worked with distributed data and compute systems like Apache Beam, Dataflow, or Flume
• Understands how to build robust ML pipelines including data versioning, feature engineering, retraining, and model monitoring in production
• Has experience optimizing inference performance on GPUs, TPUs, or similar hardware accelerators
• Thrives in fast‑moving, ambiguous environments and can translate complex technical work into measurable business outcomes
• Values collaboration, accountability, and building systems that scale across teams and markets

In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non‑discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.

Base Pay Range: $197,600—$247,000 USD

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, 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.

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