Similar Jobs
.png)
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.
As part of the BCI team at Science, you will work with a world-class team of scientists and engineers to develop closed-loop brain computer interfaces that push the frontier of neurotechnology. Your technical background may be any combination of neuroscience, mathematics, ML, software, and electrical engineering, but you are exceptionally resourceful, adaptable, and creative. In this line of work, we seek to answer fundamental questions around neural coding, representation, learning, and memory. We will follow the science where it takes us.
Role responsibilities:
- Design novel behavioral tasks that leverage high-dimensional, bidirectional neural interfaces
- Write application software that handles high-throughput data under strict latency requirements
- Build out infrastructure for storing, analyzing, and visualizing large amounts of multi-modal neural and behavioral data
- Stay current with research at the intersection of deep learning and neuroscience, prototyping emerging techniques for neural signal processing
- Inform our device and hardware roadmap by identifying useful features to unlock new science
Key qualifications:
- Strong evidence of technical excellence, such as a track record of high impact (broadly defined) results, widely used open-source contributions, or competitive fellowships
- Demonstrated history of rapidly shipping solutions when confronted with complex, ill-defined technical problems
- Experience with modern machine learning methods, including transformers
- Strong Python language skills
- Excellent communication and interpersonal skills
Preferred qualifications:
- Experience with C++, particularly in high performance, critical real time applications
- Experience extracting information from biological signals, market feeds, audio recordings, video streams, or other real-world noisy data
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 $150,000 - $200,000 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.
Benefits:
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 for non-remote employees
- 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.
Science Alameda, California, USA Office
1010 Atlantic Ave, Alameda, CA, United States, 94501
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
