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Machine Learning (Job Post)
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are currently partnered with an AI-Drug Discovery Start-Up building a new ML team in the Palo Alto, CA. Experience Required
Extensive experience in Machine Learning. Extensive experience in Deep Learning techniques :: Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Deep Reinforcement Learning). Programming experience in Python or other backend languages. Experience in building Generative Models & Scaling them :: Diffusion Models & Transformers. Job Responsibilities
Design and execute machine learning training and inference tasks at scale, utilizing thousands of GPUs in parallel. Develop robust ML tools and libraries to support a flexible, efficient, and highly scalable platform. Implement rigorous validation pipelines and benchmarking processes to ensure the quality and performance of ML models. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Staffing and Recruiting
#J-18808-Ljbffr
Machine Learning (Job Post)
role at
Seer Seer
are currently partnered with an AI-Drug Discovery Start-Up building a new ML team in the Palo Alto, CA. Experience Required
Extensive experience in Machine Learning. Extensive experience in Deep Learning techniques :: Deep Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Deep Reinforcement Learning). Programming experience in Python or other backend languages. Experience in building Generative Models & Scaling them :: Diffusion Models & Transformers. Job Responsibilities
Design and execute machine learning training and inference tasks at scale, utilizing thousands of GPUs in parallel. Develop robust ML tools and libraries to support a flexible, efficient, and highly scalable platform. Implement rigorous validation pipelines and benchmarking processes to ensure the quality and performance of ML models. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries
Staffing and Recruiting
#J-18808-Ljbffr