---
title: "Machine Learning Engineer"
company: "Zenos"
company_url: "https://www.remjobs.works/companies/zenos"
url: "https://www.remjobs.works/job/zenos-machine-learning-engineer-8c317242-7a77-47a5-b1e7-c583c80fa617"
apply_url: "https://jobs.ashbyhq.com/zenos/9dbcd9d3-5e65-4e82-ae4c-418ccafd4b33"
workplace: onsite
location: "San Mateo Werqwise"
employment_type: full-time
seniority: mid
role: ai-machine-learning
region: united-states
date_posted: 2026-09-20T20:30:21.183Z
first_seen_by_remjobs: 2026-09-20T20:45:34.805Z
---

# Machine Learning Engineer

**Zenos** · San Mateo Werqwise

Apply: https://jobs.ashbyhq.com/zenos/9dbcd9d3-5e65-4e82-ae4c-418ccafd4b33

## About Zenos

ZENOS digitizes any video game into Unreal Engine and powers an entire ecosystem of production tools, broadcast applications, and fan experiences on top. Real-time data, open formats, and infrastructure for interactive media.

## About the role

#### 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, and maintaining robust, performant systems. A software expert first, but excited to play with a bit of hardware.

**Ownership:** You will work with the team to set coding 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.

#### Nice to haves

- Experience: Ideally 3+ years of professional experience in high-growth environments, leading technology companies, or elite research labs.

- AI/ML: experience in object recognition, reinforcement learning, and deep neural nets

#### The Perks

- Competitive salary + significant equity: we want you to own what you build

- Whatever is needed: Blackwell GPUs, etc.

- Full relocation support

- 100% health coverage

- Daily paid 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 4 days in-office with flexibility as needed.

---

Source: Zenos's own career page, read by RemJobs. Canonical HTML version: https://www.remjobs.works/job/zenos-machine-learning-engineer-8c317242-7a77-47a5-b1e7-c583c80fa617