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How Did You Hear About Us?

• How did you learn about this opportunity?✱

  • Field AI Website
  • Employee Referral
  • LinkedIn
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  • School or University
  • Professional Organization
  • YouTube, Facebook, or Instagram
  • "Analytics Insight", "AI Magazine" or other AI publication
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  • Referral from a friend, colleague, or professor
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Are you authorized to work in the U.S.?

• Are you authorized to work in the United States?✱

  • Yes
  • No
• Will you now, or in the future, require sponsorship (i.e. H-1B visa, etc.) to legally work in the U.S.?✱

  • Yes
  • No
  • Not applicable
• Are you currently in a period of Optional Practical Training (OPT)?✱

  • Yes
  • No
  • Not applicable
• Do you hold a degree in a Science, Technology, Engineering, or Mathematics (STEM) field from a U.S. accredited institution that would allow you to apply for a 24-month OPT extension?✱

  • Yes
  • No
  • Not applicable

1.75 Research Engineer (Robot Safety)

• 1. Describe a method you’ve used to evaluate robotic system safety in unstructured or out-of-distribution environments. What metrics did you use?
• 2. How have you used simulation to test failure scenarios in robotics (e.g., sensor dropout or actuation delay)? What tools or frameworks did you employ?
• 3. What experience do you have with developing or optimizing data pipelines for large-scale robotics experiments using parallel computing (e.g., with PyTorch and GPUs)?
• 4. Can you give an example of a research project you’ve published related to robot safety or embodied intelligence? What was your primary contribution?
• 5. What tools or strategies have you used to help transition a research prototype into a reliable, real-world field deployment?

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