Senior Machine Learning Engineer (mandarin Speaking)

Moloco

Menlo Park, California, United States
Base: $197,600 - $247,000 usd; bonus/equity: not s...
On-site
Design and scale ml systems
Production ml pipelines
Mandarin customer collaboration
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

Job Summary

  • 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.
  • You’ll design, build, and deploy large-scale ML systems for ad ranking, click-through prediction, and conversion optimization, developing and operating production pipelines that process hundreds of millions of ad requests per day with low-latency requirements.
  • Moloco offers a competitive benefits package and fosters a culture of humility, growth mindset, value creation, and collaboration.

Matching Summary

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.

Salary

Base: $197,600 - $247,000 USD; Bonus/Equity: Not specified; Benefits: Competitive benefits package

Skills & Requirements

Must-have

  • design and scale ML systems
  • production ML pipelines
  • Mandarin customer collaboration
  • model training and evaluation
  • distributed data and compute systems
  • optimize inference performance

Nice-to-have

  • AI advertising solutions
  • democratizing access to AI
  • planet-scale machine learning platform
  • lead design and code reviews
  • mentor engineers on best practices
  • thrive in fast-moving environments

Key Requirements

  • 7+ years of experience building ML systems
  • Shipped models improving key metrics
  • Fluent in Mandarin Chinese
  • Strong software engineering fundamentals
  • Proficiency in Python
  • Experience with modern ML frameworks
  • Experience with distributed systems
  • Experience building robust ML pipelines
  • Experience optimizing inference performance

Work Rights

Not specified

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