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Data Scientist Internship at Tacit | San Francisco

TacitSan Francisco
On-site Internship

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Experience Level

Entry Level

Qualifications

RequirementsCurrently enrolled in or recently graduated from a PhD program in neuroscience, biomedical engineering, computer science, applied mathematics, or a related discipline. Excellent communication and writing skills. Proven ability to collaborate across multidisciplinary teams and adapt quickly to new domains. Proficiency in Python; experience with PyTorch is a plus. Familiarity with dimensionality reduction techniques and time series data analysis. Strong independent work ethic, flexibility, and resourcefulness. Thrives in a fast-paced startup environment and is eager to contribute independently.

About the job

About Tacit

Tacit is an innovative, early-stage deep tech startup located in San Francisco, pioneering advanced hardware solutions that revolutionize human-computer interaction. With prestigious backing from General Catalyst, Khosla Ventures, and Greylock Partners, our founding team comprises experts from Stanford, BrainGate, Oculus, and Tesla. While we are still in stealth mode, our team is passionately addressing avant-garde engineering challenges to create groundbreaking products.

About the Role

As a Data Scientist Intern, you will join our Machine Learning and Research team, focusing on the development of state-of-the-art tools and methodologies for data processing and analysis. Your responsibilities will include designing, executing, and analyzing experiments using our unique systems, interpreting results to guide future data collection, hardware design, and enhancing our decoding algorithms. This role will involve hands-on experience with our custom hardware signals and examining performance scaling across diverse user groups.

What You'll Do

  • Design, implement, and test algorithms for extracting features from bio-signals to enhance machine learning models.

  • Rapidly iterate on experiments to evaluate new hardware prototypes and improve data collection methods.

  • Develop visualization tools and establish metrics for data quality assessment.

  • Collaborate with hardware and electrical engineers to optimize the sensing stack.

  • Work alongside the ML team on data augmentation, multimodal training, and synthetic data experiments to enhance generalization.

Requirements

  • Currently enrolled in or recently graduated from a PhD program in neuroscience, biomedical engineering, computer science, applied mathematics, or a related discipline.

  • Excellent communication and writing skills.

  • Proven ability to collaborate across multidisciplinary teams and adapt quickly to new domains.

  • Proficiency in Python; experience with PyTorch is a plus.

  • Familiarity with dimensionality reduction techniques and time series data analysis.

  • Strong independent work ethic, flexibility, and resourcefulness.

  • Thrives in a fast-paced startup environment and is eager to contribute independently.

Preferred Qualifications

  • Experience with machine learning frameworks and data science tools.

About Tacit

Tacit is at the forefront of deep technology innovation, crafting hardware solutions that redefine how humans interact with computers. Our team is composed of elite professionals with backgrounds from top-tier institutions and companies, creating an exciting environment where groundbreaking ideas come to life.

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