Moloco is looking to improve ad relevance, ranking, and optimization within their advertising platform, which will directly impact advertiser performance, revenue efficiency, and the overall user experience.
Requirements
- 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
- Strong software engineering fundamentals: data structures, algorithms, and system design and proficiency in Python (C++ or Java a plus)
- Experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX
- Worked with distributed data and compute systems like Apache Beam, Dataflow, or Flume
- Understand how to build robust ML pipelines including data versioning, feature engineering, retraining, and model monitoring in production
- Experience optimizing inference performance on GPUs, TPUs, or similar hardware accelerators
Responsibilities
- 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
- 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
Other
- Collaborate directly with customers and partners in Mandarin to understand business goals and deliver data-driven ML solutions
- Work cross-functionally with product, infrastructure, and business teams to align technical innovations with product goals
- Fluent in Mandarin Chinese and skilled at collaborating with customers or partners in technical discussions
- Thrive in fast-moving, ambiguous environments and can translate complex technical work into measurable business outcomes
- Value collaboration, accountability, and building systems that scale across teams and markets
