Handshake
Overview Handshake is recruiting exceptional bachelor's graduates with a focus in biomedical engineering to join our AI research community. This program brings subject-matter experts together to enhance the capabilities of Large Language Models (LLMs) within specialized domains and subdomains. The MOVE program runs year-round, though project availability will vary by domain.
The information below covers the role requirements, expected candidate experience, and accompanying qualifications. Responsibilities
The position is remote and asynchronous - work independently from wherever you are. Flexible hours and the ability to work remotely, with a commitment of approximately 10 to 20 hours per week. Project work includes and is not limited to developing domain-specific prompts and evaluating LLM responses. Dedicate time researching topics that are interesting to you, with the assistance of AI. Learn new skills while contributing to the changing world of AI across various disciplines. Placement into a project will be dependent on project availability. Qualifications
Must be a junior, senior or graduated with a Bachelor's degree in biomedical engineering Must be at or have graduated from a top 20 undergraduate institution Able to participate in primarily asynchronous work in partnership with leading AI labs. Believe your expertise can outmatch current AI systems in understanding and explaining key concepts in your field. This program is open to U.S.-based doctoral students, candidates, and recent graduates with valid work or training authorization (e.g., F-1/OPT, J-1, H-1B). Participants are responsible for ensuring compliance with their visa conditions and confirming eligibility with their program or visa sponsor prior to applying. At this time, we are unable to accommodate candidates on STEM OPT who require an i-983. Fellows with already approved i-983s, as well as those on pre-grad OPT, CPT, J-1, or H-1B, are not impacted. This position may be subject to change in the future. Potential applicants should review visa eligibility and project availability prior to applying. Get notified about new Biomedical Engineer jobs in San Francisco, CA.
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The information below covers the role requirements, expected candidate experience, and accompanying qualifications. Responsibilities
The position is remote and asynchronous - work independently from wherever you are. Flexible hours and the ability to work remotely, with a commitment of approximately 10 to 20 hours per week. Project work includes and is not limited to developing domain-specific prompts and evaluating LLM responses. Dedicate time researching topics that are interesting to you, with the assistance of AI. Learn new skills while contributing to the changing world of AI across various disciplines. Placement into a project will be dependent on project availability. Qualifications
Must be a junior, senior or graduated with a Bachelor's degree in biomedical engineering Must be at or have graduated from a top 20 undergraduate institution Able to participate in primarily asynchronous work in partnership with leading AI labs. Believe your expertise can outmatch current AI systems in understanding and explaining key concepts in your field. This program is open to U.S.-based doctoral students, candidates, and recent graduates with valid work or training authorization (e.g., F-1/OPT, J-1, H-1B). Participants are responsible for ensuring compliance with their visa conditions and confirming eligibility with their program or visa sponsor prior to applying. At this time, we are unable to accommodate candidates on STEM OPT who require an i-983. Fellows with already approved i-983s, as well as those on pre-grad OPT, CPT, J-1, or H-1B, are not impacted. This position may be subject to change in the future. Potential applicants should review visa eligibility and project availability prior to applying. Get notified about new Biomedical Engineer jobs in San Francisco, CA.
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