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Posted 1h agoSan Mateo Werqwise

Machine Learning Engineer

MiddleOn-site (San Mateo Werqwise)Salary undisclosed
Required Skills
Next.js
Job Description

About us

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 and sold a successful AI company with a nine figure exit, 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 We’re Looking For

We are looking for top engineers that combine experience with intellectual horsepower.

Excellence: A track record of designing, scaling, maintaining, and iterating on robust, performant ML systems.

Ownership: Given our early stage, your scope will be expansive. You'll have a key role in the foundation of our overall AI/ML roadmap. You will work with the team to set standards, define the tech stack, and mentor new hires as we scale.

Dynamism: You enjoy defining the problem as you solve it, and work well with others to crack big challenges. You’re not afraid to dive into multiple parts of the stack and do something that is fundamentally new. You're excited about robotics, and playing with small bits of hardware.

Nice to haves

  • Experience: Ideally 3+ years of professional experience in high-growth environments, leading technology companies, or elite research labs building and refining ML models.

  • AI/ML: experience in perception, object recognition, reinforcement learning, and deep neural nets.

The Perks

  • Competitive salary + significant equity: you to own a part of what we're building together

  • Whatever resources you need: Blackwell GPUs, etc.

  • Relocation support, 100% health coverage, daily lunches

Location

Our HQ is in San Mateo, 25 minutes from San Francisco and Mountain View, walking distance from Caltrain. We’re building physical machines, so we aim for 5 days in-office with flexibility as needed.

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