Hybrid ML Research Scientist: Generative AI for Atoms

Achira; San Francisco (CA); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Achira is seeking machine learning researchers to innovate in generative models for atomic microcosm. You'll work on cutting-edge machine learning methods in collaboration with physicists and chemists to develop models for molecular systems.

This hybrid role is based in San Francisco or New York City, requiring potential travel. Ideal candidates will have a strong background in Python and ML frameworks.

Qualifications

• Professional experience in machine learning research in an industry setting.
• Ability to collaborate on multi-person research projects.
• Experience in building generative models.

Responsibilities

• Invent advanced sampling and simulation methods for molecular systems.
• Design and train generative models including diffusion and autoregressive architectures.
• Collaborate with physicists and chemists to ensure models are grounded in real physics.

Skills

Proficiency in Python

Experience with PyTorch

Strong interdisciplinary communication skills

Research impact through publications

Job description

Achira is seeking machine learning researchers to innovate in generative models for atomic microcosm. You'll work on cutting-edge machine learning methods in collaboration with physicists and chemists to develop models for molecular systems.

This hybrid role is based in San Francisco or New York City, requiring potential travel. Ideal candidates will have a strong background in Python and ML frameworks.