Senior Machine Learning Engineer (Mandarin speaking)

What you'll do

• Design, build, and deploy large-scale ML systems for ad ranking, click-through prediction, and conversion optimization
• Develop and operate production pipelines processing hundreds of millions of ad requests per day with low latency
• Collaborate with customers and partners in Mandarin to understand business goals and deliver ML solutions
• Apply systematic, reproducible approaches to model training, evaluation, and continuous improvement
• Partner with ML 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 driving measurable results
• Mentor engineers on ML experimentation, productionization, and scaling best practices
• Work cross-functionally with product, infrastructure, and business teams to align technical innovations with product goals

Requirements

• 7+ years of experience building and deploying ML systems at scale, ideally in AdTech, recommender systems, or search/ranking domains
• Experience shipping models that improved key product or business metrics such as CTR, CVR, or ROI
• Fluency in Mandarin Chinese and ability to collaborate with customers or partners in technical discussions
• Strong software engineering fundamentals including data structures, algorithms, and system design
• Proficiency in Python; C++ or Java is a plus
• Experience with modern ML frameworks such as PyTorch, TensorFlow, or JAX
• Experience with distributed data and compute systems like Apache Beam, Dataflow, or Flume
• Knowledge of building 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
• Ability to work in fast-moving, ambiguous environments and translate technical work into measurable business outcomes
• Strong collaboration and accountability skills

Tech stack

Benefits