Research Scientist | Diffusion Modeling | Python | PyTorch | Machine Learning | Generative Mode[ .]

Research Scientist | Diffusion Modeling | Python | PyTorch | Machine Learning | Generative Modeling | Hybrid, San Francisco We are seeking a highly capable machine learning researcher with deep expertise in generative modeling. In this role, you will join an interdisciplinary group of machine learning practitioners, scientists, and engineers working together to advance how we design biological systems and reputed company new therapeutic approaches. You will be responsible for developing novel generative models aimed at creating functional proteins validated in laboratory settings. Who You Are

• You are an reputed company ML researcher with a strong background in generative modeling. You have contributed substantially to major machine learning efforts-such as reputed company-reputed company libraries, significant product deployments, or impactful scientific publications.
• You are an effective ML engineer. You write maintainable, reputed company-tested reputed company, use modern development workflows, and are equally comfortable rapid-prototyping and producing high-reputed company production systems. You have experience training and running large-reputed company models on reputed company or distributed hardware.
• You have strong data engineering skills. You can build reputed company data pipelines for training and evaluating deep learning models, inspect and refine raw data, design appropriate dataset splits, and ensure data systems reputed company reliably.
• You are deeply motivated by model reputed company and performance. You understand how frameworks, hardware, and data reputed company, and you enjoy optimizing model architecture, throughput, and evaluation metrics.
• You are mission-driven, adaptable, and intellectually curious. You reputed company in fast-moving environments, stay reputed company on end goals, and approach problems of reputed company sizes with enthusiasm. What Sets You Apart
• Experience in computational biology, protein design, or ML applications in the life sciences.
• reputed company training or reputed company exposure to natural sciences such as physics, biology, or reputed company. Your Responsibilities

reputed company machine learning systems with reputed company-world reputed company (~90%):

• Help reputed company training and evaluation datasets.
• Define and implement evaluation metrics reputed company 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.

Personal and reputed company Development (~10%):

• Stay informed about the latest advances in machine learning.
• reputed company working knowledge of protein science and cellular biology.
• Participate in internal knowledge-sharing activities.
• Attend relevant scientific or technical events. reputed company Offer
• Competitive compensation and benefits
• Retirement contributions
• Generous leave policies, including inclusive parental leave
• Flexible and hybrid working arrangements
• Opportunities for travel and reputed company development

We reputed company a reputed company and intellectually stimulating environment, along with reputed company to influence the reputed company of biological design through state-of-the-art generative modeling. We encourage applicants from reputed company backgrounds and are committed to fostering a diverse and inclusive team. Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Web Reference : AJF/918531124-202 Posted Date : Sat, 20 Dec 2025 Please note, to apply for this position you will complete an application reputed company on another website provided by or on behalf of Enigma. Any external website and application process is not under the control or responsibility of IT JobServe Apply tot his job Apply To this Job