Pay
$166K–$240K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 1,279 postings in the last year. Stated ranges, not salaries paid.
Machine Learning Engineer - Computer Vision & Robotics
Cambridge, MA · Cambridge, Massachusetts, United States
Open 3 months, first seen by us 98 days ago- Pay
- Pay not listedSimilar roles state $166K–$240K
- Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting- Team
Software Engineering › Core Autonomy — team source
Department: Software Engineering › Core Autonomy
From the employer’s posting
Before you apply
- Work authorization
- Must already have the right to work in the US
Applicants must be authorized to work in the U.S.
What you’ll work on
Full postingDesign and optimize ML models for computer vision and robotics under tight compute and memory budgets
Build training and fine-tuning pipelines for large-scale datasets
Compress and deploy models with quantization and distillation for embedded accelerators
Profile and tune on-device inference for latency, throughput, and accuracy
Write clean, efficient, maintainable code in Python and/or C++
From the employer’s posting
Design and optimize ML models for computer vision and robotics under tight compute and memory budgets.
Build robust training and fine-tuning pipelines for large-scale datasets.
Compress, accelerate, and deploy models (quantization, distillation) for embedded accelerators (NPU/TPU/GPU delegates).
Profile and tune on-device inference pipelines for latency, throughput, and accuracy.
Write clean, efficient, and maintainable code across Python and/or C++.
What you’ll bring
All qualificationsCore experience
- Bachelor's or advanced degree in Computer Science, Engineering, or related field
- Hands-on experience applying ML to computer vision and/or robotics
- Proficiency with PyTorch or TensorFlow
- Strong coding skills in Python or C++ (ideally both)
- Experience deploying ML models and building training pipelines
Qualification wording
Bachelor’s or advanced degree in Computer Science, Engineering, or related field.
Hands-on experience applying ML to computer vision and/or robotics.
Proficiency with PyTorch or TensorFlow.
Strong coding skills in Python or C++ (ideally both).
Experience deploying ML models and building training pipelines.
Education & alternatives
Requirements - Bachelor’s or advanced degree in Computer Science, Engineering, or related field. - Hands-on experience applying ML to computer vision and/or robotics.
About Tycho.AI
Tycho.AI is redefining the future of autonomous intelligence.
In the employer’s words · Read in context · Company website ↗
Posting record
Report an errorOpen 3 monthsWe first saw this posting 98 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 30, 202698 days ago
- Recorded sightings
- 46
- Last seen by us
- Nov 5, 2026
- Employer says posted
- Jul 27, 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 98
Up longer than most. Similar jobs usually come down between day 6 and day 70.
From 4,461 similar postings that came down. Coming down is not always a hire.
Tycho.AI is hiring
1 open job
- 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.
- C++
- Python
- PyTorch
- TensorFlow
Where the posting names them
- Profile and tune on-device inference pipelines for latency, throughput, and accuracy. - Write clean, efficient, and maintainable code across Python and/or C++. - Stay current on state-of-the-art ML techniques and efficient edge deployment research in autonomy and perception
- Proficiency with PyTorch or TensorFlow. - Strong coding skills in Python or C++ (ideally both). - Experience deploying ML models and building training pipelines.
- Hands-on experience applying ML to computer vision and/or robotics. - Proficiency with PyTorch or TensorFlow. - Strong coding skills in Python or C++ (ideally both).
Your next step
Complete your application on jobs.ashbyhq.com. The employer’s form will show what is required.
Applying through Ashby
- No account needed. “Autofill from resume” at the top of the form fills the key fields from your file.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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
About Tycho.AI
Tycho.AI is redefining the future of autonomous intelligence. Spun out of MIT and backed by DoD contracts, we are building breakthrough AI and autonomy solutions for unmanned systems operating in GPS-denied and contested environments. We are a fast-growing, dual-use technology company at the forefront of national security and commercial innovation, with a mission to push the boundaries of what autonomous systems can achieve.
Joining Tycho.AI means being part of a team shaping the next decade of autonomy from defense applications to commercial opportunities in areas like logistics, disaster response, and beyond. If you want to work at the cutting edge of AI/ML and robotics with a company that’s poised for major impact and growth, we want to hear from you.
Responsibilities
Design and optimize ML models for computer vision and robotics under tight compute and memory budgets.
Build robust training and fine-tuning pipelines for large-scale datasets.
Compress, accelerate, and deploy models (quantization, distillation) for embedded accelerators (NPU/TPU/GPU delegates).
Profile and tune on-device inference pipelines for latency, throughput, and accuracy.
Write clean, efficient, and maintainable code across Python and/or C++.
Stay current on state-of-the-art ML techniques and efficient edge deployment research in autonomy and perception
Requirements
Bachelor’s or advanced degree in Computer Science, Engineering, or related field.
Hands-on experience applying ML to computer vision and/or robotics.
Proficiency with PyTorch or TensorFlow.
Strong coding skills in Python or C++ (ideally both).
Experience deploying ML models and building training pipelines.
Familiarity with Git and collaborative software development practices.
Nice to Have:
CUDA kernel development and model optimization (quantization, pruning, distillation).
Experience with ONNX, TensorRT, or OpenVINO for deployment.
Robotics middleware (ROS2).
SLAM, 3D perception, or sensor fusion (LiDAR, IMU).
Real-time or low-latency inference pipelines.
Why Tycho.AI
Be part of a high calibre rapidly scaling startup defining the future of autonomous intelligence.
Make a difference, help create the software development culture and ecosystem you want to develop in.
Collaborative, high-trust culture that values innovation, execution, and continuous learning.
Competitive salary, meaningful equity, and generous benefits package.
Equal Employment Opportunity (EEO) Statement: Tycho AI is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or protected veteran status.
E-Verify and Right to Work: Tycho AI participates in E-Verify to confirm work authorization in the United States. Applicants must be authorized to work in the U.S. and may be subject to a government security clearance process.
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
Cambridge, Massachusetts, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Equal Employment Opportunity (EEO) Statement: Tycho AI is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, or protected veteran status. E-Verify and Right to Work: Tycho AI participates in E-Verify to confirm work authorization in the United States. Applicants must be authorized to work in the U.S. and may be subject to a government security clearance process.