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Machine Learning Engineer

Zenos

Zenos is the employer — EngRadar is a job radar, not a recruiter. We track this posting from their own careers page and send you straight there; we never handle applications or CVs.

San Mateo Werqwise Full-time Posted 8d ago

Zenos is a highly funded next-gen AI/robotics startup, with strong customer demand. We are delivering AI productivity to the physical world. We’re attacking a trillion dollar market opportunity with a world class team at lightning speed, and having a ton of fun while doing it.

This role is for someone who thrives in ambiguity, operates independently, and likes working on interesting and varied problems with smart people from places like Google, Amazon, Stanford, Carnegie Mellon, and Apple. Our founders previously started a successful AI company and exited for nine figures, and our CEO has been an executive at a hyperscale tech company.

Join us early and take on outsized equity ownership. This is a chance to join a top company with a unique strategy to build the next phase of AI - in the physical world. We have a fun, friendly team, and are hiring fast.

We are currently in stealth mode, but excited to launch with major announcements soon.

What you'll do

As the company's first mechanical engineering hire, you'll play a key role in defining the company's product. Design mounting systems that are flexible across a variety of targets and keep the sensors and computers mounted on them appropriately cooled, vibration isolated, and working within spec. Help define a manufacturing strategy for the company and inform how we bring our product to market.

Preferred skills

  • 3D modelling and analysis (CAD and FEA)

  • Electronics enclosures

  • Vibration analysis / shock analysis

  • Thermal management

  • Environmental sealing

  • Computational fluid dynamics

  • Manufacturing / design for manufacturing and assembly (DFMA)

  • EMC / EMI / EFI

  • Fatigue analysis

Posted by Zenos on their own careers page — you apply directly, no recruiter in between. View original / apply →

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