Senior Machine Learning Engineer - United States - Remote

AHU Technologies Inc • Full-time • Remote (District of Columbia, United States) • $150k - $300k / year • 1d ago

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

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

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.