Machine Learning Scientist

March 27

🏡 Remote – Anywhere in California

Apply Now
Logo of SES AI Corp

SES AI Corp

Li-Metal Batteries

Renewable Energy, UAV, Electrical Manufacturing, Wearables, Electric Vehicles, Batteries, Li-Ion, Li-Metal, Drones, HAPS, Electrochemistry, Smartphones • eVTOL • EV

201 - 500

Description

Machine Learning Scientist at SES AI, leading the next wave of scientific discovery in material science with advanced AI technologies. Invent and design new deep learning models to predict chemical properties of battery materials. Pioneering developments in generative models using reinforcement learning, VAE, GANs, and diffusion models for novel battery materials generation. Collaborate with academic labs, publish research findings, and enhance battery technology advancements.

Requirements

• Ph.D. preferred in Computer Science, AI, or related field • Strong foundation in deep learning, graph neural networks, reinforcement learning, VAE, GANs, and diffusion models • History of contributions to leading ML conferences and journals • Experience in developing ML models for scientific/industrial applications • Proficiency in Python, PyTorch, TensorFlow, etc. • Analytical and problem-solving skills, passion for research and innovation • Solid understanding of computational chemistry, physics, or material science is a plus

Benefits

• Remote position

Apply Now
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