Enigma · 9 hours ago
Research Scientist | Diffusion Modeling | Python | PyTorch | Machine Learning | Generative Modeling | Hybrid, San Francisco
San Francisco Bay Area
Full-time
Hybrid
Senior Level
5+ years expEnigma is seeking a highly capable machine learning researcher with deep expertise in generative modeling. The role involves developing novel generative models aimed at creating functional proteins validated in laboratory settings, while collaborating with interdisciplinary teams of practitioners, scientists, and engineers.
Staffing & Recruiting
Hiring Manager
Tom Goldberg
Responsibilities
Help curate training and evaluation datasets
Define and implement evaluation metrics aligned with practical objectives
Rapidly prototype and iterate on generative modeling approaches
Collaborate in a shared codebase with colleagues across research and engineering
Support the infrastructure used for compute, experimentation, and model development
Work with experimental teams to plan laboratory testing and run model inference for biological targets
Integrate laboratory feedback data into model improvements
Stay informed about the latest advances in machine learning
Develop working knowledge of protein science and cellular biology
Participate in internal knowledge-sharing activities
Attend relevant scientific or technical events
Qualification
Required
Deep expertise in generative modeling
Experience contributing to major machine learning efforts—such as open-source libraries, significant product deployments, or impactful scientific publications
Effective ML engineering skills with the ability to write maintainable, well-tested code
Experience with modern development workflows
Comfortable with rapid-prototyping and producing high-quality production systems
Experience training and running large-scale models on cloud or distributed hardware
Strong data engineering skills to build scalable data pipelines for training and evaluating deep learning models
Ability to inspect and refine raw data, design appropriate dataset splits, and ensure data systems perform reliably
Motivated by model quality and performance with an understanding of how frameworks, hardware, and data interact
Enjoy optimizing model architecture, throughput, and evaluation metrics
Mission-driven, adaptable, and intellectually curious
Ability to thrive in fast-moving environments and stay focused on end goals
Enthusiastic approach to problems of all sizes
Preferred
Experience in computational biology, protein design, or ML applications in the life sciences
Academic training or professional exposure to natural sciences such as physics, biology, or chemistry
Benefits
Comprehensive health coverage
Retirement contributions
Generous leave policies, including inclusive parental leave
Flexible and hybrid working arrangements
Opportunities for travel and professional development
Company
Enigma
Here at Enigma, we specialize in Generative AI recruitment, specifically focused on Machine Learning and Software Engineering disciplines.
2-10 employees
H1B Sponsorship
Enigma has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (3)
2023 (3)
2022 (3)
2021 (5)
2020 (3)
Funding
Current Stage
Early StageCompany data provided by crunchbase