Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Lead research to develop post-training reinforcement learning methods that convert high-throughput biological measurements into rewards for generative biological language models. Architect and run large-scale model training, work closely with experimental teams to align measurements and modeling, and iterate rapidly to publish new methods and models.

Design and build precision experimental hardware end-to-end, spanning mechanical design, fabrication, electronics, and optics. Lead technical direction, run and equip the prototyping facility, mentor and hire engineers, and collaborate closely with scientists to iterate toward reliable instruments.

Lead design and implementation of low-latency, multi-modal neuroscience research systems: instrument control, data acquisition, high-throughput pipelines, experiment UIs, and cloud infrastructure. Define technical roadmap, mentor engineers, and ensure production reliability and performance for large-scale neural data workflows.

Build and maintain The Stacks web platform: back-end services, front-end interfaces, data models, APIs, cloud infrastructure, CI/CD, testing, and open-source components. Collaborate across teams, iterate rapidly, support post-launch improvements, and ensure availability and observability.

Design and validate an electrostatic drive and field-effect position sensor for a nanoscale DNA-origami actuator; define device stack and direct cleanroom fabrication; perform electrical and force/displacement characterization (including AFM); ensure low-noise measurement toolchain and collaborate with molecular-design and controls teams for closed-loop operation.

Design and build custom precision optical systems (large field-of-view, high-speed two-photon imaging and photostimulation), develop a miniature two-photon microscope for freely moving animals, and build electronics, control hardware, and software to integrate optics with data acquisition. Own instruments end-to-end and iterate designs with scientists and collaborators.

Support the COO by tracking cross-functional projects, maintaining timelines and dashboards, coordinating meetings and vendor/facilities logistics, assisting recruiting and onboarding, planning events, and building automation and lightweight tools to improve operations. Use AI and no-code tools to streamline workflows and take on ad hoc initiatives as priorities shift.

Lead Astera's events and communications: design and run events end-to-end, build scalable playbooks and vendor relationships, manage website/blog/socials and external communications, steward voice and production calendar, hire and manage external contractors, and support general operations across a growing research institute.

DiffUSE seeks individuals interested in interdisciplinary roles involving computational biology, machine learning, and open scientific tooling. Responsibilities include data processing, ML research, infrastructure engineering, and community building.

The Machine Learning Researcher will develop new architectures for data-efficient model induction, focusing on optimizing generalization performance and runtime inference in networks, while contributing to a performance-driven code base.