Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,383 postings in the last year. Stated ranges, not salaries paid.
Robotics Software - Perception ML Engineer
South San Francisco · South San Francisco, California, United States
Open 4 months, first seen by us 127 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
On-site — work setting source
Location type: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
R&D - Software — team source
Department: R&D - Software
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work in the US
Legally authorized to work in the United States
What you’ll work on
Full postingWe’re looking for an experienced Perception ML Engineer to join our team.
Develop and deploy state-of-the-art perception models for challenging manipulation and navigation problems.
Develop and deploy perception models for manipulation and navigation
Research 3D scene understanding, detection, segmentation, and pose methods
Build real and synthetic data pipelines for perception problems
Develop metrics to measure performance of large vision models
Build scalable training and validation infrastructure
From the employer’s posting
We’re looking for an experienced Perception ML Engineer to join our team. As an early member, you will play a pivotal role in building and shaping the AI capabilities of our robots. You will work on challenging problems around manipulation and navigation in dynamic outdoor environments. You'll need to thrive in a fast-paced startup environment where you'll wear multiple hats and have a direct impact on our product's evolution. Ideally, you have a proven track record of developing and deploying perception ML systems in production, and you're passionate about pushing the boundaries of what's possible in robotics with AI.
Develop and deploy state-of-the-art perception models for challenging manipulation and navigation problems.
Research and develop techniques around 3D scene understanding, detection, segmentation, pose and world/video models.
Develop and improve real/synthetic data pipelines for challenging perception problems.
Develop robust metrics to establish performance of large vision models.
Build scalable training and validation infrastructure.
Education & alternatives
What we look for - M.S/Ph.D degree in robotics, vision, computer science, mechanical engineering, electrical engineering or other engineering disciplines (or equivalent experience). - 4+ years of hands-on experience developing perception solutions for robotics applications like manipulation and navigation.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 127 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 6, 2026127 days ago
- Recorded sightings
- 95
- Last seen by us
- Nov 10, 2026
- Employer says posted
- May 26, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 127
Up longer than most. Similar jobs usually come down between day 8 and day 75.
From 5,207 similar postings that came down. Coming down is not always a hire.
Gritt Robotics is hiring
3 open jobs
- No new data jobs since July
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- PyTorch
Where the posting names them
- Experience working with synthetic data pipelines and robotics simulation infrastructure (e.g. Isaac Sim, Gazebo, Blender, Unity). - Extensive experience with Python and common ML frameworks like PyTorch. - Should be comfortable taking ownership of tasks with light supervision.
Your next step
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Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 13% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Gritt is an intelligent system that combines robotics and AI to build the infrastructure that pulls society forward. Gritt deploys via simple attachments to common equipment found on construction sites and autonomously performs labor-intensive tasks, verification, and planning. Gritt systems are already building critical infrastructure in the harshest outdoor environments, starting with large-scale solar. The founding team includes experts in robotics and AI from Carnegie Mellon, Stanford, and MIT. Gritt is backed by Obvious Ventures, Union Square Ventures, First Round Capital, Climactic, Congruent Ventures, and other leading firms.
Role: Robotics Software - Perception ML
Location: SF Bay Area (in-person)
About the role
We’re looking for an experienced Perception ML Engineer to join our team. As an early member, you will play a pivotal role in building and shaping the AI capabilities of our robots. You will work on challenging problems around manipulation and navigation in dynamic outdoor environments. You'll need to thrive in a fast-paced startup environment where you'll wear multiple hats and have a direct impact on our product's evolution. Ideally, you have a proven track record of developing and deploying perception ML systems in production, and you're passionate about pushing the boundaries of what's possible in robotics with AI.
What you’ll get to work on
Develop and deploy state-of-the-art perception models for challenging manipulation and navigation problems.
Help drive our technical approach, with particular focus on real-world deployments.
Research and develop techniques around 3D scene understanding, detection, segmentation, pose and world/video models.
Develop robust metrics to establish performance of large vision models.
Work with multimodal data (e.g. cameras, LIDAR, tactile).
Develop and improve real/synthetic data pipelines for challenging perception problems.
Build scalable training and validation infrastructure.
Collaborate with other teams in the company.
What we look for
M.S/Ph.D degree in robotics, vision, computer science, mechanical engineering, electrical engineering or other engineering disciplines (or equivalent experience).
4+ years of hands-on experience developing perception solutions for robotics applications like manipulation and navigation.
Experience working on one or more of detection, segmentation, pose estimation, tracking, 3D reconstruction, world models and VLMs.
Experience working with synthetic data pipelines and robotics simulation infrastructure (e.g. Isaac Sim, Gazebo, Blender, Unity).
Extensive experience with Python and common ML frameworks like PyTorch.
Should be comfortable taking ownership of tasks with light supervision.
Must have excellent problem-solving skills.
Legally authorized to work in the United States.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
South San Francisco, California, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
- Must have excellent problem-solving skills. - Legally authorized to work in the United States.