Machine Learning Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Scientist with expertise in tensor factorization methods, focusing on genome-scale Perturb-Seq atlas data. Contract length and pay rate are unspecified. Key skills include ML; relevant industry experience is essential.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
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🗓️ - Date discovered
August 20, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
San Francisco, CA
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🧠 - Skills detailed
#ML (Machine Learning)
Role description
Machine Learning Scientist to work on developing a Client Tensor factorization (TF) methods that addresses computational challenges. The resource will learn and implement state-of-the-art tensor decomposition algorithms and apply them to real world genome-scale Perturb-Seq atlas data generated internally at Genentech. The resource will work with lab members from Li Lab and Melo Carlos Lab – Dr. Li will supervise the method development and co-mentor Dr. Melo Carlos will provide feedback on evaluating the developed methods on real data.
Machine Learning Scientist to work on developing a Client Tensor factorization (TF) methods that addresses computational challenges. The resource will learn and implement state-of-the-art tensor decomposition algorithms and apply them to real world genome-scale Perturb-Seq atlas data generated internally at Genentech. The resource will work with lab members from Li Lab and Melo Carlos Lab – Dr. Li will supervise the method development and co-mentor Dr. Melo Carlos will provide feedback on evaluating the developed methods on real data.
