Machine Learning Engineer
- Location
- San Mateo Werqwise · On-site
- Job type
- Full-time
- Level
- Senior
- Experience
- 5+ years
- Listed
- 22 days ago
Skills & highlights for this role
- machine learning models
- perception and object recognition
- reinforcement learning
- deep neural networks
Also useful
- VLAs
- terrain mapping
- robotics hardware
Stated benefits & perks
- Health coverage
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.
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.
From Zenos's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Machine Learning Engineer job at Zenos located?
This Machine Learning Engineer position at Zenos is located in San Mateo Werqwise (On-site). Always check Zenos's application page for specific state eligibility or relocation policies.
What qualifications are required for Machine Learning Engineer at Zenos?
For the Machine Learning Engineer role, Zenos highlights 5+ years of relevant experience; experience with machine learning models, perception and object recognition, reinforcement learning, deep neural networks. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Machine Learning Engineer position at Zenos?
This listing links directly to Zenos's Ashby application page. You can apply directly on Zenos's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.