- AHU Technologies Inc
- Washington, DC
- Full-Time
- 76 days ago
- $150,000 – $300,000
Machine Learning Engineer - United States - Remote.
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Machine Learning Engineer - United States - Remote: our view in 3 lines...
- The Role:Senior Machine Learning Engineer role focused on recommendation, search, ranking, retrieval, and discovery for a consumer content ecosystem.
- The Person:The person will build recommendation and search systems, own retrieval and ranking systems, and design, launch, and analyze recommendation and search experiments.
- Requirements:The ideal candidate has 5+ years of industry experience building production ML systems, hands-on experience with recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems, and fluency in Chinese (Mandarin).
About the role
Job Title: Senior Machine Learning Engineer
Location: United States (Remote)
Location: United States (Remote)
JD in One Line
Own recommendation, search, ranking, retrieval, and discovery for a consumer content ecosystem.
What You Will Own
- Build recommendation and search across feed, discovery, search, and content continuation.
- Own retrieval and ranking systems, including candidate generation, embeddings, two-tower models, feature engineering, and serving quality.
- Design, launch, and analyze recommendation and search experiments.
Requirements
- 5+ years of industry experience building production ML systems with senior-level ownership.
- Hands-on experience with recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems.
- Experience working on consumer applications, entertainment, social media, gaming, creator platforms, or other engagement-driven products.
- Strong knowledge of two-tower models, embedding retrieval, candidate generation, ranking systems, and online/offline evaluation.
Hard Filters
- 5+ years of industry experience building production ML systems with senior-level ownership.
- Hands-on experience with recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems.
- Experience with consumer applications, entertainment, social, gaming, creator, or engagement-driven products.
- Expertise in two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation.
- Fluency in Chinese (Mandarin) is required.
Strong Fit
- Built recommendation and search systems across feed, discovery, search, and content continuation.
- Owned retrieval and ranking systems, including candidate generation, embeddings, two-tower models, features, and serving quality.
- Designed, launched, and analyzed recommendation/search experiments.
Bonus Signals
- 5+ years of production ML experience.
- Strong background in recommendation systems.
- Experience with search ranking.
- Experience with embedding retrieval.
Anti-Signals
- Cannot demonstrate core Senior Machine Learning Engineer experience focused on recommendation systems.
- Not comfortable with the specified remote work arrangement.
- Primarily coordination-focused with limited technical ownership or no shipped production examples.
Interview Process
- Initial recruiter screen.
- Senior Machine Learning Engineer (Recommendation) technical/product deep dive.
- Team/founder conversation.
Culture
- AI-native, fast-paced startup environment with strong ownership expectations.
- Focus on building consumer AI products at the intersection of AI, social, mobile, and interactive entertainment.
- Looking for engineers who ship quickly, learn from users, and take end-to-end ownership.
