Machine Learning Engineer
HQ · Milpitas, California, United States
- Pay
- Pay not listed
- 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
Software — team source
Department: Software
From the employer’s posting
What you’ll work on
Full postingDevelop algorithms that segment and locate defects in high-resolution or 3D images
Engineer software that runs on production lines 24/7 with decisions under 20ms
Build metrics and tools to evaluate model performance and interpret results
Explore new methods such as Stable Diffusion and SAM for manufacturing applications
From the employer’s posting
develop new algorithms that consume raw sensor data input to detect defect segmentation and location information on high-resolution images or 3D inputs, with pixel-level precision
engineer software that runs on the production line 24/7 to efficiently execute our algorithms in real time with each decision made under 20ms
develop metrics and tools to evaluate various model performance and improve visibility and interpretation of our system
explore new solutions and push the boundaries of the field including using Stable Diffusion, SAM and build applications for critical missions in the manufacture fields
What you’ll bring
All qualificationsCore experience
- 2+ years building production computer-vision machine learning models
- Deep learning experience with PyTorch or TensorFlow
- Excellent Python skills for large codebases
- Bachelor's degree in CS, math, physics, or a related field, or equivalent experience
- Solid applied math knowledge
Preferred experience
- Master’s degree in Computer Science, Mathematics, Physics, or a relevant technical field.
- Experience with model inference optimization
- Experience with non-ML CV algorithms
Qualification wording
2+ years of experience in building machine learning models for computer vision in production
Strong theoretical background and practical experience in Deep Learning, with proficiency in PyTorch or Tensorflow
Excellent Python skills for writing efficient and maintainable solutions in large code bases
Bachelor's degree in Computer Science, Mathematics, Physics, or a relevant technical field, or equivalent practical experience
Solid foundational and applied math knowledge
Master’s degree in Computer Science, Mathematics, Physics, or a relevant technical field.
Experience with model inference optimization
Experience with non-ML CV algorithms
Education & alternatives
Who You Are: - Bachelor's degree in Computer Science, Mathematics, Physics, or a relevant technical field, or equivalent practical experience. Solid foundational and applied math knowledge. - 2+ years of experience in building machine learning models for computer vision in production.
Preferred Qualifications: - Master’s degree in Computer Science, Mathematics, Physics, or a relevant technical field. - Experience with model inference optimization
Tools in this posting
- Python
- PyTorch
- TensorFlow
Source — Tool mentions in context
- 2+ years of experience in building machine learning models for computer vision in production. - Strong theoretical background and practical experience in Deep Learning, with proficiency in PyTorch or Tensorflow. Excellent Python skills for writing efficient and maintainable solutions in large code bases. - Strong communication and decision-making skills. Ability to explain the rationale behind experiments and make decisions to balance exploration and exploitation.
About UnitX
UnitX builds the world's leading physical AI systems to automate repetitive visual tasks in factories.
In the employer’s words · Read in context
Posting record
Report an errorOpen 4 monthsWe first saw this listing 144 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
- Jun 2, 2026 · 144 days ago
- Recorded sightings
- 65
- Last seen by us
- Oct 24, 2026
- Employer says posted
- Apr 27, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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Job description
UnitX builds the world's leading physical AI systems to automate repetitive visual tasks in factories. UnitX is a fast-moving startup with a team from Stanford, MIT, Google, and beyond. Since inception, UnitX has deployed 1,000+ mission-critical systems across 190+ of the world's leading manufacturers' production lines. Every year, $15B worth of products go through UnitX's AI inspection system to ensure quality.
Join us for the rare opportunity to work on computer-vision-driven products that go beyond the state of the art and that improve global manufacturing efficiency.
What You'll Do:You will develop new algorithms that consume raw sensor data input to detect defect segmentation and location information on high-resolution images or 3D inputs, with pixel-level precision.
You will engineer software that runs on the production line 24/7 to efficiently execute our algorithms in real time with each decision made under 20ms.
You will develop metrics and tools to evaluate various model performance and improve visibility and interpretation of our system.
You will explore new solutions and push the boundaries of the field including using Stable Diffusion, SAM and build applications for critical missions in the manufacture fields.
Bachelor's degree in Computer Science, Mathematics, Physics, or a relevant technical field, or equivalent practical experience. Solid foundational and applied math knowledge.
2+ years of experience in building machine learning models for computer vision in production.
Strong theoretical background and practical experience in Deep Learning, with proficiency in PyTorch or Tensorflow. Excellent Python skills for writing efficient and maintainable solutions in large code bases.
Strong communication and decision-making skills. Ability to explain the rationale behind experiments and make decisions to balance exploration and exploitation.
Resilience in uncertain and complex environments.
Master’s degree in Computer Science, Mathematics, Physics, or a relevant technical field.
Experience with model inference optimization
Experience with non-ML CV algorithms
This role offers the opportunity to accelerate human productivity through robotics in manufacturing. You get to define how a differentiated AI-vision platform enters some of the world’s fastest-growing and most strategically important manufacturing markets. You will work directly with company leadership, influence product and market strategy, and build relationships that can become significant global accounts.
UnitXis proud to be an Equal Opportunity Employer. We value diversity, inclusion, and respect, and are committed to building a workplace where everyone can thrive. We make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.
We are committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. If you require assistance, please contact Human Resources. Requests for accommodation will be treated confidentially and in accordance with applicable laws.
As a safety-sensitive, drug-free workplace, employment with UnitX is contingent upon successful completion of applicable pre-employment screening requirements.
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- Location & working pattern
Milpitas, California, United States
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