Senior Machine Learning Engineer, Recommendation

Sekai; San Francisco (CA); Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Top compensation package

Comprehensive health insurance and (am

Job summary

Sekai is seeking a Senior Machine Learning Engineer to own search and recommendation systems for Sekai’s consumer product. You will build the models and systems that decide what users see, search for, continue playing, and how high-quality content reaches the right audience.

This is a senior IC role focused on production-ready, scalable solutions in an AI-native consumer social product. Remote-first across all positions with opportunities to shape long-term ML architecture.

Qualifications

• 5+ years of industry experience building production ML systems for consumer apps.
• Hands-on experience building recommendation or search systems for entertainment-driven products.
• Strong product intuition around relevance, retention and engagement.
• Experience with two-tower models and embedding-based retrieval.
• Ability to translate user behavior into modeling signals and product improvements.

Responsibilities

• Build and improve recommendation and search systems across feed, discovery, search, and content surfaces.
• Own retrieval and ranking systems, including candidate generation and online serving quality.
• Design, launch, and analyze experiments end-to-end; iterate from data-driven insights.
• Improve quality for new users/content, and rapidly changing content pools.
• Build representations from behavioral signals; collaborate with product, data, and engineering teams.
• Shape long-term ML architecture for AI-native content discovery.

Skills

Recommendation systems

Search systems

Two-tower models

Embedding retrieval

Online/offline evaluation

Production ML systems

Job description

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 and Mayfield, 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.

Download our app and give it a try!

• 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.

What We Are Looking For

• 5+ years of industry experience building production ML systems, with senior-level ownership of recommendation, search, ranking, ads ranking, feed ranking, or content discovery systems.
• Hands-on experience building recommendation or search systems for consumer apps.
• Experience working on entertainment, social, gaming, short-form content, creator, or other engagement-driven consumer products.
• Strong practical experience with two-tower models, embedding retrieval, candidate generation, ranking, and online/offline evaluation.
• Strong product intuition around relevance, retention, engagement, satisfaction, cold start, and content distribution.
• Ability to translate messy user behavior into useful modeling signals and practical product improvements.

Nice to Have

• Experience with AI recommendation, LLM-powered ranking, semantic search, personalized generation, or AI-native content understanding.
• Experience with UGC content ecosystems, creator marketplaces, or rapidly changing content catalogs.
• Experience with multimodal content understanding across text, image, video, interaction traces, or generated content.
• Experience with explore/exploit, contextual bandits, reinforcement learning, or long-term value optimization.
• Startup experience or experience building 0-to-1 ML systems with limited infrastructure.

Benefits

• Top compensation package, including competitive salary and meaningful equity.
• Comprehensive health insurance and benefits.

If you are excited about building at the frontier of AI, consumer social, and interactive entertainment, we would love to hear from you.

At Sekai, you will work with an AI-native team, move fast, own meaningful problems, and have the flexibility to explore new ideas from an early stage.

If you are excited about building at the frontier of AI, consumer social, and interactive entertainment, we would love to hear from you.

At Sekai, you will work with an AI-native team, move fast, own meaningful problems, and have the flexibility to explore new ideas from an early stage.