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.