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Scikit Learn Jobs
86 open positions · Updated 1 week ago
86 Scikit Learn roles across 42 companies, most in AI/ML; 23% fully remote; typical advertised salary $160k
Who is hiring (42 companies)
Work arrangement: 20 fully remote · 38 hybrid · 10 on-site · 18 not stated
Advertised salaries: p25 $139.7k · median $160k · p75 $182k (from 49 disclosed annual salaries, USD)
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 20 of 86 positions
Search with filters →Join Snorkel AI as a Research Scientist to bridge cutting-edge research and real-world AI systems in a dynamic environment.
Join Snorkel AI as a Staff Applied AI Engineer to lead pre-sales technical engagements and drive AI solutions for enterprise clients.
Join Snorkel AI as an Applied AI Engineer to deliver impactful Gen AI and ML solutions for federal clients.
Join Snorkel AI as an Applied AI Engineer to deliver impactful Gen AI and ML solutions for enterprise customers.
Join WireScreen as a Machine Learning Engineer to enhance AI capabilities and uncover hidden connections in the Chinese economy.
Join SecurityScorecard as a Senior Data Scientist to develop advanced analytical models for enhancing cybersecurity ratings.
Join SecurityScorecard as a Senior Data Scientist to develop advanced analytical models for enhancing cybersecurity ratings.
Join SecurityScorecard as a Senior Data Scientist to develop advanced analytical models enhancing cybersecurity ratings.
Lead a team of applied ML scientists to develop fraud detection and identity verification models in a rapidly growing fintech company.
Lead a team of applied ML scientists to enhance fraud detection and identity verification models in a rapidly growing fintech company.
Join AKASA as a Sr. Machine Learning Engineer to develop state-of-the-art ML solutions that empower healthcare professionals.
Join ZeroMark as a Senior Machine Learning Operations Engineer to design and implement cutting-edge AI-driven counter-drone systems.
Join Genesis Molecular AI as an Applied ML Scientist to bridge AI research and drug discovery in a collaborative environment.
Join Sprinter Health as an Applied Scientist, AI to develop machine learning models that enhance healthcare access and operational efficiency.
Join Freenome as a Staff Computational Biologist to lead cancer research and model development in a collaborative environment.
Join Freenome as a Senior Machine Learning Engineer to develop and optimize deep learning pipelines for cancer detection.
Join Wonderschool as an Early Career Software Engineer to develop AI-driven solutions for the childcare ecosystem in a collaborative environment.
Join ASI as a Machine Learning Engineer to design and deploy production-grade systems leveraging ML for real-world optimization and prediction problems.
Join ASI's Defense engineering team to design and deploy production-grade ML systems for critical infrastructure.