Open Positions
We’re hiring. Join our interdisciplinary team at Stanford working at the intersection of systems neuroscience, neurotechnology, neuroscience theory, AI, mechanistic interpretability, and automated scientific discovery.
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The Enigma Project is seeking a Research Scientist in Computational Neuroscience to turn large-scale neural recordings and brain foundation models into scientific discovery. The successful candidate will join a team of neuroscientists, machine learning researchers, and engineers working together on a small number of high-impact flagship projects, rather than building an independent research line. Scientific questions are developed and pursued collectively, and the work is supported by dedicated engineering and infrastructure teams that build and run the analysis pipelines, models, and tooling the science depends on.
The role will suit someone excited by the prospect of doing scientific discovery at an unprecedented scale, in an environment that combines academic excellence with industry-scale resources and execution. The emphasis is on generating and prioritizing the questions worth asking of an unusually rich combination of data and models, on judging what those data and models can currently answer, and on driving flagship projects through to results that change how the field understands neural computation. Credit and authorship are shared and reflect contributions to collective, team-based projects.
See the job listing for more information and details on how to apply.
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We are seeking an Engineer Associate with strong mechanical engineering and mechatronic design skills to develop next generation robotic hardware and intracortical brain-interfacing technology. Our team is working to understand the neuroscience of intelligence, and mechatronic systems are critical to the depth and scale of our experimental ambitions. The ideal candidate will play an essential role in developing unique robotic systems that enable physical interactions within virtual environments. They will also prototype mechatronic microassembly processes that facilitate lightweight, highly scalable, precisely controlled neural interfaces, enabling the team to record neural activity and understand the brain at unprecedented scale.
This role is ideal for individuals who thrive at the rapidly evolving interface of neuroscience, engineering, software development, and artificial intelligence, and want to contribute to a uniquely interdisciplinary effort. This position is embedded within a vibrant team of neuroscientists, engineers, and software developers led by Andreas Tolias (toliaslab.org) and collaborators.
Please see the job posting for more information on role and responsibilities, qualifications, and how to apply. -
We are seeking a Data Engineer (Software Developer 2) to build and maintain the data platform supporting Enigma’s experimental workflows. You will partner with scientists and engineers to turn evolving experimental requirements into clear interfaces, observable pipelines, and dependable tools. You will develop reliable systems that move raw data from data acquisition systems through ETL/ELT transformation into downstream data and metadata stores. This role will involve data lakehouse and schema design and administration, data governance and observability, and performance optimization.
The ideal candidate enjoys owning systems end to end while working in a highly collaborative research environment.
Please see the job posting for more information on role and responsibilities, qualifications, and how to apply.
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We are seeking talented software developers/engineers to support the Enigma team by developing and scaling the systems that allow our scientists to iterate quickly. In this role, you will play a critical role in ensuring the reproducibility and production-readiness of our codebase, as well as implementing Continuous Integration and Continuous Deployment (CI/CD) processes for all teams involved in the project. Your work will be essential in maintaining the highest standards of software quality, reliability, and efficiency.
The ideal candidate enjoys owning systems end to end while working in a highly collaborative research environment.Please see the job posting for more information on role and responsibilities, qualifications, and how to apply.
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We are seeking talented postdoctoral researchers with an extensive background in experimental systems neuroscience and excellent quantitative skills. Ideal candidates will have several years of practical experience performing neuro-behavioral and/or neuro-physiological experiments, including visual stimulus design, eye tracking, MRI or large-scale electrophysiology techniques (ideally Neuropixels). Additionally, candidates should possess a strong background in quantitative fields such as Mathematics, Physics, Engineering, or Computer Science. This is a collaborative, cross-functional team, and project assignments will be tailored to match each postdoc’s strengths and growth goals. If you are passionate about building high-quality neuroscience experiments and data systems in a highly interdisciplinary environment, we encourage you to apply.
To apply for this role, please send your CV and a one-page statement of interest to: recruiting@enigmaproject.ai
For all hiring inquiries: recruiting@enigmaproject.ai.