- Salary
- $160k – $250k/yr
- Location
- US
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Experience
- 5+ years
- Visa
- Sponsored
- Closing date
- Today
- Source
- Vincere
Description
Senior Machine Learning Engineer, Recommendation at Sekai
Sekai
Senior Machine Learning Engineer, Recommendation
Full-time Remote United States $160K - $250K
About this role
Sekai is building the TikTok for mini apps — an AI-driven consumer platform where people create, remix, share, and play interactive content instantly.
We are a Series A company backed by Khosla, a16z, Mayfield, and A*, with $30M raised to date. We are remote-first across all positions and are looking for ambitious, AI-native builders who want to help shape the next generation of consumer social products.
Here are Sekai’s download links: Android: https://play.google.com/store/apps/details?id=chat.sekai.app&hl=en_US
iOS: https://apps.apple.com/us/app/sekai-create-remix-play/id6504506653
About the Role
We are looking for a Senior Machine Learning Engineer to own search and recommendation systems for Sekai’s consumer product.
This role sits at the center of content discovery, user engagement, and content distribution. You will build the models and systems that decide what users see, what they search for, what they continue playing, and how high-quality content reaches the right audience.
This is a senior IC role for someone who has built real recommendation, search, ranking, or discovery systems in production for consumer apps, especially in entertainment-driven products.
What You Will Own
Build and improve recommendation and search systems across feed, discovery, search, and content continuation surfaces.
Own retrieval and ranking systems, including candidate generation, embedding- based retrieval, two-tower models, ranking features, and online serving quality.
Design, launch, and analyze recommendation/search experiments end-to-end, then use the data to iterate quickly.
Improve recommendation quality for new users, new content, and fast-changing content pools.
Build user, content, creator, and session-level representations from behavioral signals.
Partner with product, data, and engineering teams to define metrics, run experiments, and ship measurable improvements to retention, engagement, and content distribution.
Build practical ML systems that can move from prototype to production quickly, with clear monitoring and evaluation.
Help shape the long-term ML architecture for AI-native content discovery.
Benefits
Top compensation package, including competitive salary and meaningful equity.
Remote-first team.
Comprehensive health insurance and benefits.
5+ years of experience
building production recommendation/search/ranking systems for consumer apps
Salary
$160K - $250K
Equity
Highly competitive equity
Visa sponsorship available
TN, H1B Transfers, and new H1Bs on a case-to-case basis.
Remote work policy
Remote-first company, working Pacific Time hours
Full-time position
Location
United States
Report to
https://www.linkedin.com/in/luckyzhang/
Tech stack
Python, Ranking and Recommendation Systems, Two-Tower Models, Embedding Retrieval, LLMs, TensorFlow/PyTorch, ML Pipelines, A/B Testing
About Sekai
Sekai is building the TikTok of interactive mini-apps — a consumer social platform where users scroll a feed of playable experiences and create their own simply by describing what they want. Our AI-powered creation flow turns natural language into shareable, interactive content. Backed by a16z, Mayfield, and Khosla, founded in 2024, and already at 5M+ MAUs.
Team size
30 employees Founded
2023
Website
home.sekaiapp.com/ LinkedIn
Visit
Total funding
$30M Company locations
Sunnyvale, California, United States +1
Tech stack
Python, Ranking and Recommendation Systems, Two-Tower Models, Embedding Retrieval, LLMs, TensorFlow/PyTorch, ML Pipelines, A/B Testing
Paraform
Terms