Machine Learning Engineer - United States - Remote
AHU Technologies Inc · District of Columbia, United States · $150K–$300K/yr
Staffing and Recruiting · 51-200 employees
About the role
Own and build recommendation, search, and discovery systems for a consumer content ecosystem. Design and analyze experiments while managing retrieval and ranking systems including candidate generation and embeddings.
What they look for
Requirements
Requires 5+ years of industry experience building production ML systems with a focus on recommendation and ranking. Fluency in Chinese (Mandarin) and expertise in two-tower models and embedding retrieval are mandatory.
Full description
Job Title: Senior Machine Learning Engineer 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.
