Perception Software or Machine Learning Engineer
Content + Source + Freshness • 16 Dec 2025 • 95% confidence
Offer value
Valuable opportunity for skilled engineers with focus on machine learning and perception systems, providing a platform for innovation and safety improvements in robotics.
- Innovative work in 3D perception technologies
- Focus on safety and machine learning in applications
- Hands-on engineering development role
- Undefined compensation details
Pros
- Opportunity to work on innovative 3D perception technologies
- Hands-on experience in machine learning and computer vision
- Critical role in ensuring safety through improved perception systems
Cons
- Undefined salary and compensation structures
- Potential for high workloads and project pressures
- May require frequent iterations and testing under real-world conditions
Who it's for
Mid to Senior-level • On-site or hybrid
Good fit
- Experienced engineers in machine learning and robotics
- Innovators interested in perception systems
- Candidates passionate about safety in technology
Not recommended for
- Beginner engineers without relevant experience
- Individuals looking for purely theoretical roles
- Professionals college avoiding hands-on work
Motivation fit
Key skills
About the job
The Role
We are looking for engineers with expertise in shipping production 3D perception systems at scale. Successful candidates have architected systems, trained models from scratch, understand the full stack (clustering, detection, classification, and tracking), and have shipped at scale. We use both computer vision and LIDAR-based approaches, so knowledge of either or both is key. Models are just part of the system: you understand data and have good intuition about why models fail. You know how to eval for corner cases, manage or build data pipelines, use autolabels (or not), and have a strong understanding of statistical properties of these systems.
Our perception system is a core element in safeguarding the people, vehicles, and projects we work on. The system is central to ensuring that as we scale less traditional learning approaches, that the system is always safe. You have a passion for rigor and safety.
The role is best suited for a hands-on engineer who has shipped perception systems into the real world, and is interested in building the right system with modern approaches from scratch. You will need to articulate a clear vision of a modern perception system, and how to train and evaluate it efficiently and quickly. Join us!
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.
