AI/ML Research Scientist, Inverse Problems & Machine Learning

The Team

Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology—developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.

Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools.

This is an opportunity to shape the future of biological research by pushing the boundaries of what AI can achieve in science. You’ll work alongside leading experts in AI and biology, with the resources and mandate to tackle some of the most important questions in human health—advancing frontier AI research, accelerating engineering velocity, connecting rich biological data to AI systems, enabling reliable compute across environments, and translating models and data into usable, scalable applications that drive scientific impact for the public good.

This role is part of the AI Research team, which focuses on training AI models in biology and reasoning at the frontier of data, scale and compute. We are a mostly flat organization of researchers to enable rapid and dynamic AI development. 

The Opportunity

The Biohub will create breakthrough technologies — hardware, software, biological probes, data, and platforms — that will be made available to the scientific community and adopted worldwide through a combination of direct access to the institute, open sharing of advances, and commercial partnerships. Researchers will collaboratively develop breakthrough biological imaging systems centered around grand challenges that push the boundaries of what we can see and measure.

We are seeking a creative and motivated Data Scientist to develop and apply cutting-edge computational methods for complex imaging problems. This role is ideal for candidates with expertise in applied mathematics, computational science, or physics, combined with modern machine learning approaches. You will design algorithms, build scalable tools, and collaborate across disciplines to advance scientific discovery.

This position is on-site in Redwood City, CA.

What You'll Do

• Develop and apply algorithms for solving inverse problems in imaging and related computational challenges.
• Use optimization, applied mathematics, and physics-inspired modeling to extract insights from high-dimensional data.
• Incorporate modern machine learning and deep learning techniques to improve reconstruction, denoising, and feature detection.
• Build robust, scalable pipelines for large-scale biological datasets.
• Collaborate with biologists, microscopists, and engineers to design solutions aligned with scientific goals.
• Contribute to technical documentation, publications, and presentations.

What You'll Bring

• M.S. or Ph.D. in Applied Mathematics, Computer Science, Physics, Engineering, or a related field.
• 1 - 5 years of relevant experience.
• Strong foundation in inverse problems, optimization, or computational modeling.
• Experience in machine learning and deep learning (e.g., PyTorch, TensorFlow).
• Proficiency in Python or C++, and familiarity with scientific computing libraries.
• Strong analytical, problem-solving, and communication skills.
• Experience with imaging data (e.g., cryo-EM, tomography, or related modalities).
• Familiarity with convex optimization, variational methods, or numerical PDEs.
• Knowledge of GPU computing and high-performance environments.
• Track record of scientific publications or open-source contributions.

Compensation

The Redwood City, CA base pay range for a new hire in this role is $169,000.00 - $232,100.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

Better Together

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is an onsite position requiring you to be onsite for approximately 4 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

 #LI-Onsite