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microscopy, and machine learning. Our goal is to develop a protein biosensor optimization pipeline that integrates high-throughput functional screening with predictive deep learning to accelerate the directed
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-mechanical devices. The ability to clearly communicate engineering principles, design, and coding with biologists and the capacity to work collaboratively with members of the lab to optimize systems and coding
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. What you’ll do: Design, develop, assemble, integrate, test, debug, modify, and optimize simple to complex systems, instruments, and one-of-a-kind prototypes for neurobiological research. Applications
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infrastructure, model training, and inference systems. You'll design, develop, and optimize scalable data pipelines and build multi-node GPU training and inference pipelines for foundational models. You'll also
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operations, including monitoring, vulnerability management, threat intelligence, and incident response. Direct and optimize relationships with external SOC and managed security partners to ensure effective 24
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in-vivo recordings. Perform coding-based data analysis (Python and/or MATLAB); working with and organizing big datasets (e.g. chronic in-vivo recording, videos and tracking). Optimize and troubleshoot
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applications, integration architecture, reporting intelligence, and platform optimization, and collaborates with HHMI’s EverydayAI team to thoughtfully incorporate AI-enabled capabilities within enterprise
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/firmware bottlenecks in DAQs, GPUs, and cameras. (Interfaces with diverse hardware: cameras, DAQ boards, GPUs, head-mounted displays, lasers/scanners.) Performance optimization for low-latency, precise
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development, method optimization, and collaborative publications. Provide light mentorship to technicians and graduate students. Present findings internally and externally, increasing scientific visibility
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. Professional development opportunities through internal and external conferences and workshops. What You’ll Do: Design, plan and perform method optimization experiments independently Perform data analysis and