ML Research Scientist - Atomistic Modeling for Drugs

Achira; San Francisco (CA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Achira is seeking a Deep Learning Researcher for their innovative drug discovery team in San Francisco. This position involves building rich representations of atomistic systems and collaborating with domain experts.

Ideal candidates will have experience in ML research, particularly in scalable ML experiments, and proficiency in modern frameworks like PyTorch. Achira values collaborative efforts and offers a hybrid work setup between San Francisco and New York City.

Qualifications

• Experience designing, running, and analyzing ML experiments at scale.
• Machine learning researcher with experience in an industry setting.
• Strong interdisciplinary communication skills.

Responsibilities

• Build curriculum to ensure model performance.
• Create reinforcement learning strategies.
• Prototype and iterate to develop scalable components.

Skills

Modern ML techniques

3D geometric deep learning

Python proficiency

Communication skills

Tools

PyTorch

JAX

Job description

Achira is seeking a Deep Learning Researcher for their innovative drug discovery team in San Francisco. This position involves building rich representations of atomistic systems and collaborating with domain experts.

Ideal candidates will have experience in ML research, particularly in scalable ML experiments, and proficiency in modern frameworks like PyTorch. Achira values collaborative efforts and offers a hybrid work setup between San Francisco and New York City.