Achira
Machine Learning Research Engineer (MLRE) - Research
San Francisco Office
Sponsorship not specifiedDetected 84 days ago
GitMachine LearningDeep LearningPyTorchA/B TestingResearchCollaboration
About the role
- We're looking for a rare individual who thrives at the intersection of applied machine learning research and rigorous software engineering.
- While we prefer candidates willing to work from our San Francisco office, highly skilled candidates may be considered for working from New York City with travel to San Francisco as needed.
- Both locations are offered as hybrid roles, spending at least some of your time working from the office in collaboration with coworkers.
Responsibilities
- Design and run experiments to test out hypotheses on the path to foundation model development.
- Design, build and maintain scalable, reproducible libraries for training, experimentation evaluation, and simulation, in service of large-scale research initiatives.
- Implement model architectures both from the literature and developed in collaboration with our in-house researchers that push the boundaries of molecular simulation.
- Enable agent-driven research and workflows and maintain guardrails on agentic tooling.
- Strong software engineering fundamentals, with experience not just building one-off scripts but reproducible pipelines for research, writing necessary documentation, and observing coding best-practices.
- 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.
Requirements
- Track record of observable artifacts (e.g., GitHub, papers) showing work in ML or scientific computing libraries.
- Solid working knowledge of PyTorch and JAX and the modern ML research stack.
Nice to have
- Familiarity with generative modeling: diffusion models, flow matching, score-based methods.
- Regular involvement in open-source ML or scientific computing libraries.
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
This listing is sourced directly from Achira's careers page and normalized into a canonical job model.