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

Lead development of scalable molecular dynamics pipelines, integrating physics-based models with machine learning frameworks to enhance molecular engineering and experimentations.

The role involves designing and optimizing biomolecules for brain-computer interfaces by utilizing protein engineering strategies, collaborating with computational teams, and developing novel screening methods.

As a Scientist in Biochemistry, you'll conduct mechanistic studies, develop biochemical assays, and collaborate on protein interactions while guiding engineering insights.

The Neurobiologist will develop molecular BCI technologies, perform in vivo and ex vivo experiments, and collaborate across disciplines to optimize technology performance and validate biological effects.

As an Automation Engineer, you'll build automation pipelines, collaborate on experimental needs, program instrumentation, and integrate with data science, enhancing research capabilities.

As a Senior Data Engineer, you will define and own data pipelines, design schemas, partner with scientists, and improve data infrastructure for Merge Labs' molecular optimization platform.

The Staff Electrical Engineer will design, validate, and manage electronic systems, oversee PCB layouts, and develop test infrastructure while ensuring integration with teams.

As an Optical Systems Engineer, you will design and validate optical systems for neuroscience; collaborating with engineers and neuroscientists for advanced experiments.

The Senior/Principal ML Engineer will build digital infrastructure for computational workloads, focusing on model iteration, deployment, and collaboration with scientists. Responsibilities include developing ML workflows, defining CI/CD pipelines, and mentoring team members.

The Research Platform Scientist will build high-efficiency experimental pipelines, collaborating with scientists and engineers to enhance throughput in molecular biology efforts.