Machine Learning Engineer
AHU Technologies Inc · United States · $150K–$300K/yr
Staffing and Recruiting · 51-200 employees
About the role
The engineer will build and own recommendation and search systems across feed, discovery, and content platforms. They are responsible for designing, launching, and analyzing experiments to improve retrieval, ranking, and serving quality.
What they look for
Requirements
Candidates must have 5+ years of industry experience building production machine learning systems and hold a bachelor's degree from a recognized university in China. Proficiency in Mandarin is required, along with hands-on experience in recommendation, search, or ranking systems.
Full description
Job Title: Senior Machine Learning Engineer
Location: United States - remote
Visa: US Citizens or Green Card Holders
Fluency in Chinese/Mandarin is required, so only reach out exclusively to candidates of Chinese ethnic background.
What you will own
- Build recommendation and search across feed, discovery, search, and content continuation.
- Own retrieval/ranking: candidate generation, embeddings, two-tower models, features, and serving quality.
- Design, launch, and analyze recommendation/search experiments.
Requirements
- 5+ years industry experience building production ML systems with senior ownership.
- Bachelor's degree from a recognized university in China is required
- Hands-on recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems.
- Consumer apps, entertainment, social, gaming, creator, or engagement-driven products.
- Two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation.
Hard filters
- 5+ years industry experience building production ML systems with senior ownership.
- Hands-on recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems.
- Consumer apps, entertainment, social, gaming, creator, or engagement-driven products.
- Two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation.
Strong fit
- Build recommendation and search across feed, discovery, search, and content continuation.
- Own retrieval/ranking: candidate generation, embeddings, two-tower models, features, and serving quality.
- Background in the entertainment or social media industry (e.g., TikTok, Pinterest, Instagram).
- Design, launch, and analyze recommendation/search experiments.
Bonus:
- Bonus signal: 5+ years production ML
- Bonus signal: recommendation systems
- Bonus signal: search ranking
- Bonus signal: embedding retrieval
Anti-signals
- Cannot show core Senior Machine Learning Engineer, Recommendation experience
- Not comfortable with the listed work mode
- Low ownership, coordination-only, or no shipped examples
This is a remote position.
