Achira
Machine Learning Research Engineer (MLRE) - GPUs
San Francisco Office · Full-time
Sponsorship not specifiedDetected 84 days ago
GitMachine LearningDeep LearningPyTorchResearch
About the role
- We're looking for a rare individual who thrives at the intersection of cutting-edge deep learning architectures and high-performance computing.
- While we prefer candidates willing to relocate to San Francisco or New York City, we are willing to consider full-time remote candidates of exceptional talent who are willing to travel frequently to our two office sites.
- Travel is part of all roles at Achira, both to conferences and corporate on-site activities.
Responsibilities
- Take existing PyTorch and JAX, profile and optimize it without compromising model accuracy, reproducibility, and robustness with respect to scientific objectives.
- Develop with frameworks like CUDA, Triton, Warp, etc. to accelerate performance critical code sections.
- Liaise with NVIDIA to represent our needs and implement their tooling in our environment.
- Work day-to-day with scientists to identify areas of greatest impact, including travel to our SF and NY working groups to collaborate.
- developing world models for the physical microcosm.
- Our goal is to make biology at the molecular level something that can be learned, predicted, and designed.
- You'll own impactful work end-to-end, from ideation to architecture to deployment on distributed infrastructure.
Nice to have
- Experience working with multi-cloud distributed compute systems.
- Experience working with multi-site distributed company team.
- Experience working with equivariant architectures that operate on 3-D point clouds.
Company info
- At Achira, we are building a team of world-class scientists, ML researchers, and engineers to work together to move beyond the beaten path in drug discovery.
- We are actively exploring the next frontier of model architectures for
- We are a well-funded, talent-dense organization that values rigor, speed, execution, and an ownership mindset.
- We're looking for new members who share our sense of relentless urgency and are natural collaborators who value team success.
This listing is sourced directly from Achira's careers page and normalized into a canonical job model.