[Remote] ML Research Engineer (Senior / Staff / Principal) at Genesis Therapeutics

The position is full-time.

This information is not specified in the job description.

Candidates should have experience with cutting-edge machine learning techniques like denoising diffusion, equivariant architectures, self-supervised training of multi-modal models, and RL-based alignment, along with computational physics/chemistry such as molecular dynamics and quantum mechanics. The role requires the ability to lead experimentation, design experiments at scale, navigate deep learning literature, and develop novel models for molecular data.

Genesis has a tight-knit team of drug hunters, deep learning researchers, and software engineers united by a mission to drive AI innovation in biochemistry. It is a highly collaborative and cross-functional environment where you work closely with engineers, researchers, and biochemistry experts.

Strong candidates are independent thinkers with a strong sense of ownership, capable of driving research projects or engineering robust systems from first-principles-based concepts. Experience leading experimentation at senior levels (Senior and above), mentoring juniors, and blending ML with computational chemistry is key.