Machine Learning Engineer

Posted 10 Hours Ago
San Francisco, CA, USA
In-Office
Entry level
Artificial Intelligence • Information Technology • Robotics • Software
The Role
Run and evaluate machine learning training experiments for autonomous robots, curate and clean real-world fleet data, improve data-labeling structures, track model performance metrics, and collaborate with Teleoperations to improve data collection. The role focuses on production ML for perception, decision-making, and control, including imitation learning, reinforcement learning, and deployment evaluation on live robotic systems.
Summary Generated by Built In
Our Mission

Expand human ambition in the physical world.

Critical infrastructure is constrained by labor shortages, hazardous working conditions, and operational complexity. Watney builds and deploys autonomous robotic systems that increase the speed and capacity of buildout, starting with data centers.

About the Role

At Watney, ML engineers turn a live fleet of robots into better models. The fleet produces large volumes of video from real work in the field, and turning that data into a model that performs better on the next deployment is one of the hardest problems at the company. The model work spans multiple kinds of tasks: what the robot sees, decides, and acts on.

You will help decide the path forward, staged from imitation learning toward broader generalization: run training experiments, help curate and label the data behind them, and help evaluate what works on a real fleet.

 
What You’ll Do
  • Run and evaluate training experiments as we scale our models.

  • Curate and clean the data those experiments train on.

  • Help evolve how we label and structure new data.

  • Track the metrics that separate a model that helps from one that doesn't.

  • Work with Teleoperations to understand and improve the data at its source.

 
You May Be a Good Fit If You:
  • Have trained models on real-world data pulled from actual operation.

  • Have worked with imitation learning, reinforcement learning, or a similar method for control.

  • Write production ML code (Python, PyTorch, etc).

  • Are comfortable cleaning and curating messy, real-world data.

We’re committed to building a diverse, inclusive team. At Watney Robotics, we welcome people of all backgrounds and identities, and we make hiring decisions based on skills, experience, and potential. If you’re passionate about robotics but don’t meet every requirement, we still encourage you to apply!

Curious to learn more?

Follow us here on X and LinkedIn

Skills Required

  • Experience training models on real-world operational data
  • Experience with imitation learning, reinforcement learning, or similar control methods
  • Ability to write production machine learning code
  • Python experience
  • PyTorch experience
  • Experience cleaning and curating messy real-world data
Am I A Good Fit?
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The Company
HQ: San Francisco, California
13 Employees
Year Founded: 2024

What We Do

Join us on our mission to deploy an abundant, intelligent workforce. Watney develops autonomous robots to enable the growth of critical infrastructure. Having recently raised $21 million in seed funding from Conviction, Abstract and A*, we’re partnering with the world’s largest hyperscalers to accelerate datacenter buildout and breakfix. You'll work alongside - The former GSM for the iPhone - The former founding engineer at Worldcoin - The engineer who built the world’s fastest EV racecar at ETH Zurich - … and many more Join now for a ground-floor seat with outsized ownership and visibility as we scale from prototype to production fleets. Ship real systems, shape the rollout playbook, and leave fingerprints on a category-defining robotics company.

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