Software Engineer, AI Engineer, Machine Learning​/ ML Engineer

Science is a clinical stage, vertically integrated technology company focused on solving some of neuroscience’s hardest questions and most serious unmet medical needs. We work to restore quality of life to those with debilitating conditions for which there are no treatment options, creating devices aimed at restoring vision, cognition, and mobility to patients who have lost it. To support progress across our industry, we provide state-of-the‑art components and vertically integrated infrastructure for others to build on via Science Foundry.

Software is everywhere at Science—real‑time neural signal processing and closed‑loop decoding, firmware and SDK for our neural recording headstage, and purpose‑built tools for everything from cell biology to microfab to finance to surgery. We are looking for experienced engineers to build across this stack in close collaboration with a world‑class team of scientists and engineers.

The through‑line is technical and product judgment: can you absorb someone else’s mental model—whether it be a neuroscientist designing an experiment, or a microfab engineer increasing throughput of a machine—and quickly build something that makes sense for the situation?

• Expert‑level programming ability, with fluency across multiple languages
• Demonstrated history of rapidly shipping solutions when confronted with complex, ill‑defined technical problems
• Adaptable and proactive in a fast‑paced, startup environment, taking ownership of projects and collaborating effectively
• A strong sense of when it’s appropriate to address mounting technical debt and when to keep building new features
• Excellent communication and interpersonal skills

• Strong evidence of technical excellence, such as widely used open‑source contributions, a track record of high impact (broadly defined) results, or experience building and maintaining production systems
• Background in high‑performance computing: real‑time systems, low‑latency programming, game engines, or real‑time media systems
• Experience extracting information from biological signals, market feeds, audio recordings, video streams, or other real‑world noisy data
• Well‑versed in hardware interfaces, device drivers, embedded systems, or networking protocols
• Experience designing and building APIs, SDKs, and other developer tools
• Background in medical devices or regulated environments

Science is required under California law to include a reasonable estimate of the compensation range for this role. We determine your level based on your interview performance and make an offer based on the indicated salary band. The base salary range for this full‑time position is $113,000 – $210,000 annually + equity + benefits. Within the range, individual pay is determined by several factors, including job‑related skills, experience, and relevant education or training.

Please keep in mind that the equity portion of the offer is not included in these numbers.

At Science, our benefits are in place to support the whole you:

• Competitive salary and equity
• Medical, dental, vision and life insurance
• Flexible vacation and company‑paid holidays
• Healthy meals and snacks provided onsite
• Paid parental, jury duty, bereavement, family care and medical leave
• Dependent Care Flexible Spending Account, subsidized by Science
• Flexible Spending Account
• 401(k)

Science Corporation is an equal opportunity employer. We strive to create a supportive and inclusive workplace where contributions are valued and celebrated, and our employees thrive by being themselves and are inspired to do their best work.

We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, citizenship, religion, sex, sexual orientation, gender identity or expression, veteran status, marital status, pregnancy or parental status, or disability. Applicants will not be discriminated against based on these or other protected categories or social identities. Science will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law.