Cloud - ML Platform Engineer (All Levels)

The Role

We are looking for a senior and mid-career ML Platform Engineers.

Bedrock Robotics is transforming the physical world with autonomy. While others debate the future of AI, we're deploying it. With a team that helped put self-driving cars on public roads at Waymo, scaled systems for Segment's $3.2B acquisition, and grew Uber Freight to $5B in revenue, and with the backing of world-class advisors and investors from 8VC, Eclipse, Valor, Two Sigma, and many others, we are uniquely positioned to succeed in our optimistic vision of autonomy and industrial transformation.

At Bedrock Robotics, ML Platform Engineering bridges infrastructure and machine learning. We build modern systems for high scale training of end-to-end autonomy, focus on system performance for GPUs, and build solutions for data mining, metrics, labeling, experiment tracking, and evaluation. We are the engine that powers Bedrock Robotics’ fast-moving and novel physical world autonomy.

As a passionate ML Platform engineer you will have an immediate impact on our autonomy progress. We are looking for experienced software engineers / TLs at all stages of their career experienced with ML platforms and who can work closely with ML engineers and other infrastructure teams.

Some of the challenges our team takes on include:

• Build out robot data labeling and evaluation pipelines.
• Design and create a data mining solution.
• Iterate and evolve experiment tracking.
• Improve performance of our scaled training loop.
• Work with other ML teams to understand their workflows and their needs.

Also, you get to drive 100,000 lb excavators.

Our roles are often flexible. If you don't fit all the criteria, or are in another location (especially one where we have an office like SF of NY) please apply anyway! We'd love to consider you. 

Join the team bringing advanced autonomy to the built world

At Bedrock, we've assembled one of the most experienced autonomous technology teams in the industry, with deep expertise scaling breakthroughs across transportation, infrastructure, and enterprise software. Our leaders helped put the first self-driving cars on public roads at Waymo, scaled systems for Segment's $3.2B acquisition, and grew Uber Freight to $5B in revenue.

While others debate the future of AI, we're deploying it in the real world. Our systems are already installed on heavy machines across the country, learning on real construction sites and working to reshape the earth with survey-grade precision and exceptional safety. This isn't a simulation—it's autonomous intelligence working on billion-dollar infrastructure projects.

In just over a year, we've raised $80M, put our equipment into the field, and established partnerships with forward-thinking contractors who are integrating our technology into their operations. We're working quickly to close the gap between America's surging demand for housing, data centers, manufacturing hubs, and the construction industry's growing labor shortage.

Here, algorithms meet steel-toed boots. You'll collaborate with both construction veterans and experienced engineers, tackling problems where your work directly impacts how the physical world get built. If you're interested in applying cutting-edge technology to solve meaningful problems alongside a talented team—we'd love to have you join us.