Senior Machine Learning Engineer, Recommendation

• Senior Machine Learning Engineer, Recommendation
• Location: United States – Remote
• Pay: Competitive salary + equity

We are hiring for our client, a Series A company building at the intersection of AI, consumer social, mobile, and interactive entertainment.

In One Line:

Own recommendation, search, ranking, retrieval, and discovery for our client’s content ecosystem.

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.
• Hands-on recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems.
• Experience with consumer apps, entertainment, social, gaming, creator, or engagement-driven products.
• Strong experience with two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation.

Strong Fit:

• Experience building recommendation and search across feed, discovery, search, and content continuation.
• Ability to own retrieval/ranking, including candidate generation, embeddings, two-tower models, features, and serving quality.
• Experience designing, launching, and analyzing recommendation/search experiments.

Bonus Signals:

• 5+ years production ML experience.
• Recommendation systems experience.
• Search ranking experience.
• Embedding retrieval experience.

What They’re Building:

• The bet: Content is moving from watched media into playable, remixable AI-generated mini apps.
• The company has raised $30M Series A and is backed by leading investors. They are remote-first across all positions, with a strong bias toward AI-native builders using modern AI tools deeply.
• This is an ownership-heavy startup environment where you will ship fast, learn from users, and help shape a new category early.

Interview Process:

Initial recruiter screen → Senior Machine Learning Engineer, Recommendation technical/product deep dive → team/founder conversation.