Staff ML Infra Engineer: Scalable Training & Pipelines
watney roboticsMillbrae (CA)
Staff ML Infra Engineer: Scalable Training & Pipelines
Posted today
watney roboticsMillbrae (CA)
SENIORITY
Mid
About the role
Watney Robotics is seeking an ML Infrastructure engineer to turn data from a live robot fleet into better models. You will own training and inference infrastructure, build data pipelines, and ensure rapid, reproducible experiments while contributing to core training code.
We value diverse backgrounds and encourage applicants who are passionate about robotics, even if not all requirements are met. This role is ideal for advancing scalable ML in real-world robotics contexts.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.