Machine Learning Engineer

Posted Yesterday
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San Mateo, CA, USA
In-Office
Mid level
Artificial Intelligence • Robotics • Software
The Role
Design, scale, and maintain robust machine learning systems for AI-powered physical machines. Help define coding standards and the technology stack, work across software and hardware, solve ambiguous problems, and mentor new hires. Relevant work may include object recognition, reinforcement learning, and deep neural networks in a fast-growing AI and robotics startup.
Summary Generated by Built In
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: Ideally 5+ years of professional experience in top-tier startups, leading technology companies, or elite research labs designing, building, refining robust and performant ML models.

AI/ML: Experience in perception, terrain mapping, proprioception, object recognition, segmentation, action planning, VLAs, reinforcement learning, and deep neural nets.

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.

 
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.

Skills Required

  • Track record of designing, scaling, and maintaining robust, performant systems
  • Strong software engineering expertise
  • Ability to work independently and operate effectively in ambiguous environments
  • Ability to collaborate across multiple parts of the technology stack, including hardware
  • Experience setting coding standards and defining technology stacks
  • Experience mentoring new hires
  • 3+ years of professional experience in high-growth environments, leading technology companies, or elite research labs
  • Experience with object recognition, reinforcement learning, and deep neural networks
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The Company
3 Employees
Year Founded: 2026

What We Do

Zenos is a highly funded, stealth-stage AI and robotics startup focused on bringing AI-powered productivity into the physical world. The company is pursuing a large market opportunity with a team experienced in building and scaling technology businesses, including founders with a prior nine-figure AI-company exit. Zenos is hiring rapidly and developing the next generation of physical-world AI applications.

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