Senior Machine Learning Engineer - United States - Remote
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Senior Machine Learning Engineer - United States - Remote
150,000–300,000 / Year
Location
Washington DC
Experience
Senior
Posted
Jul 7, 2026
Apply by
August 6, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Home
Job 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.
Compensation: $150,000.00 - $300,000.00 per year
# About Us
**AHU Technologies INC.** is an IT consulting and permanent staffing firm that meets and exceeds the evolving IT service needs of leading corporations within the United States. We have been providing IT solutions to customers from different industry sectors, helping them control costs and release internal resources to focus on strategic issues.
**AHU Technologies INC.** was co-founded by visionary young techno-commercial entrepreneurs who remain as our principal consultants. Maintaining working relationships with a cadre of other highly skilled independent consultants, we have a growing number of resources available for development projects. We are currently working on Various projects such as media entertainment, ERP Solutions, data warehousing, Web Applications, Telecommunications and medical to our clients all over the world.
Key Responsibilities
- Build recommendation and search systems across feed, discovery, search, and content continuation.
- Own retrieval and ranking systems including candidate generation, embeddings, two-tower models, and serving quality.
- Design, launch, and analyze recommendation and search experiments.
Skills Required
Recommendation systemsSearch systemsRanking systemsAds rankingFeed rankingContent discoveryTwo-tower modelsEmbedding retrievalCandidate generationOnline/offline evaluationFeature engineeringServing qualitySenior-level ownershipTechnical ownershipEnd-to-end ownership
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