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Recommendation Systems Jobs
14 open positions · Updated 4 days ago
14 Recommendation Systems roles across 8 companies, most in AI/ML; 29% fully remote
Who is hiring (8 companies)
Role types
Work arrangement: 4 fully remote · 5 hybrid · 1 on-site · 4 not stated
Counts are open roles Joblaze currently tracks on company career pages for this exact skill/location; salaries are advertised minimums, annual, converted to USD.
Showing 14 of 14 positions
Search with filters →Define the technical future of Quora’s recommendation ecosystem as a Staff Machine Learning Engineer in a remote-first environment.
Join Quora as a Senior Machine Learning Engineer to enhance ranking models and impact user engagement on a global scale.
Lead the Enterprise Engineering team at Perplexity AI to drive AI adoption in large organizations.
Join Perplexity AI as a senior ML Engineer to design and optimize recommendation systems for personalized user experiences.
Join Krea as an ML Engineer to build personalization and recommendation systems that enhance creative AI tools.
Lead AI Platforms initiatives at Airbnb, focusing on Search Relevance and Machine Learning Infrastructure with a remote team.
Lead a team of machine learning researchers and engineers to innovate Pinterest's recommendation systems.
Lead company-level programs for Search Signals at Pinterest, driving innovation and execution across offsite signals and relevance.
Drive GenAI-powered recommendations at Reddit, shaping feed ranking for millions of users in a fully remote role.
Join Perplexity as a Senior ML Engineer to design and optimize recommendation systems for personalized user experiences.