Software Engineer, Scientific Models (Platform)

Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. But moving at the new speed of science requires better technology.
Benchling’s mission is to unlock the power of biotechnology. The world’s most innovative biotech companies use Benchling’s R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market.
Come help us bring modern software to modern science.

We’re a team that’s embedding cutting-edge scientific AI models into Benchling to help scientists design better molecules. Scientific models (e.g. AlphaFold) predict structures, assess properties, and even generate new ideas, acting as a design partner as scientists design life-saving therapeutics and other molecules. As an engineer on the team, you’ll focus on building a scalable platform for scientific models. You’ll experiment with the latest models, define standards for model developers to be able to contribute their models, and design our architecture for fast inference. It’s early days for scientific AI models, both at Benchling and in the industry at large. We’ll rapidly iterate with customers and change directions quickly, figuring out new patterns for how we develop and go to market. We’ll win if we stay curious and obsess over our customers.

• Build and scale our scientific model platform by designing and implementing infrastructure for model inference that is fast, reliable, and cost-effective across a diverse set of scientific models.

• Define standards and tooling for model developers, creating frameworks that make it easy to integrate, test, and ship third-party open-source and proprietary models into Benchling.

• Work directly with customers to ideate use cases, gather feedback, and onboard scientific teams.

• Shape how we build AI at Benchling, driving experimentation, contributing to technical direction, and helping evolve our engineering and product development practices as the field matures.

• 5+ years of software engineering or equivalent research experience, developing or deploying scientific models in an industry or academic setting.

• Strong experience with backend systems and infrastructure for supporting scientific model training or inference.

• Strong technical and analytical skills for optimizing compute-intensive systems.

• Collaborative mindset, able to work closely with engineers, product managers, and scientists to bring new ideas to life.

• Desire to work in a fast-paced environment, where priorities can shift and rapid experimentation is encouraged.

This is an in-person team in San Francisco built around collaborating in the office in a fast-paced environment. We’re in the office Monday through Friday.

Benchling takes a market-based approach to pay.  The candidate's starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and work location. For this role the base salary range is $165,113 to $223, 388. 

To help you determine which zone applies to your location, please see this resource. If you have questions regarding a specific location's zone designation, please contact a recruiter for additional information.

Total Compensation includes the following:

• Competitive total rewards package

• Broad range of medical, dental, and vision plans for employees and their dependents

• Fertility healthcare and family-forming benefits

• Four months of fully paid parental leave

• 401(k) + Employer Match

• Commuter benefits for in-office employees and a generous home office set up stipend for remote employees

• Mental health benefits, including therapy and coaching, for employees and their dependents

• Monthly Wellness stipend

• Learning and development stipend

• Generous and flexible vacation

• Company-wide Winter holiday shutdown

• Sabbaticals for 5-year and 10-year anniversaries

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Benchling welcomes everyone.

We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences.
We are an equal opportunity employer. That means we don’t discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.