Tech Leader - Recommendation Systems / Personalization

Cosmose AI provides Attention-as-a-Service using first-party data and proprietary AI models.

Paris, FR
About Cosmose AI

Cosmose AI is an artificial intelligence company focused on attention and personalization. Its proprietary MindMentor AI engine powers personalized lock-screen content through on-device computing, emphasizing privacy and keeping personal data on the device. The company serves luxury brands, FMCG companies, automotive companies, and e-commerce businesses with AI-powered solutions designed to improve audience engagement and growth.

View jobs by Cosmose AI

Skills

About the Role

Guide an established team building large-scale recommendation systems for content discovery. Set technical direction, design and deploy machine-learning models, turn research into production systems, mentor engineers, support hiring, and improve relevance, personalization, performance, reliability, and scalability.

Requirements

  • Experience building recommender systems
  • Computer science foundation
  • Applied mathematics knowledge including statistics, optimization, and algorithms
  • Experience bridging academic research and production systems
  • Python proficiency
  • Working knowledge of machine-learning libraries
  • Experience leading engineering and research teams
  • Fast-paced startup experience
  • Polish and English communication skills

Responsibilities

  • Lead the recommendations team and define its mission and roadmap
  • Design, prototype, and deploy machine-learning models for content personalization
  • Identify impactful research directions with product, engineering, and data teams
  • Turn research into production-ready solutions
  • Mentor and grow engineers
  • Contribute to hiring and team development
  • Stay current with machine-learning research and technology

Benefits

  • Stock options
  • Flat organizational structure
  • Opportunities to learn from seasoned technical leadership
  • Work on challenging problems in high-performance computing, distributed systems, blockchain, and AI/ML