Sekai · 1 month ago
Senior Machine Learning Engineer, Recommendation
United States
Full-time
Remote
Senior Level
5+ years expSekai is building an AI-driven consumer platform for interactive content and is seeking a Senior Machine Learning Engineer to own search and recommendation systems for their product. The role involves building models and systems for content discovery, user engagement, and content distribution, focusing on improving recommendation quality and collaborating with product, data, and engineering teams.
Artificial Intelligence (AI)Social MediaSoftwareSocial Network
Responsibilities
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
Qualification
Required
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
Strong engineering fundamentals across modeling, data pipelines, backend integration, experimentation, and production ML systems
High ownership, fast execution, and clear communication in ambiguous product environments
Preferred
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.
Remote-first team.
Comprehensive health insurance and benefits.
Company
Sekai
Sekai is an AI-powered interactive content platform that enables users to create, play, remix, and share mini-apps without coding.
11-50 employees
H1B Sponsorship
Sekai has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Management and Executive
Creatives and Design
Trends of Total Sponsorships
*2025 (3)
Funding
Current Stage
Early StageTotal Funding
$29MKey Investors
Connect Ventures,Khosla VenturesMayfield FundA*,A16Z GAMES Speedrun,Mayfield Fund
2026-06-01Series A· $20M
2025-01-01Seed· $6M
2024-08-01Pre Seed· $3M
Recent News
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