Machine Learning Engineer

Reposted One Month Ago
Headquarters, AZ, USA
In-Office
160K-180K Annually
Mid level
Artificial Intelligence • Computer Vision • Machine Learning • Automation • Manufacturing
Innovative deep learning inspection system for automated manufacturing.
The Role
Develop and implement machine learning algorithms for defect detection in high-resolution images. Optimize real-time performance and evaluate model efficiency.
Summary Generated by Built In

Job Title:

Machine Learning Engineer

About Us:

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.

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.

  • 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.

Preferred Qualifications:

  • Master’s degree in Computer Science, Mathematics, Physics, or a relevant technical field.

  • Experience with model inference optimization

  • Experience with non-ML CV algorithms

Compensation & Benefits

  • Competitive cash and equity

  • Full Medical, Dental, Vision, 401k

  • Unlimited PTO

  • Daily meals provided

Skills Required

  • Bachelor's degree in Computer Science, Mathematics, Physics or relevant field
  • 2+ years of experience in building machine learning models for computer vision
  • Strong theoretical background and practical experience in Deep Learning
  • Proficiency in PyTorch or TensorFlow and strong Python skills
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The Company
HQ: San Jose, CA
88 Employees
Year Founded: 2018

What We Do

UnitX was built in 2018 by a team of engineers from Stanford, MIT, and Google with deep respect for the manufacturing industry, UnitX is a robotics company automating repetitive visual tasks in manufacturing industries. We have made this physically demanding and unsafe job an innovative, precise, and easy-to-deploy process all while using deep learning and robotics. UnitX has deployed our product on production lines throughout the country where we have increased the defect inspection rate while simultaneously amplifying the cycle time far above that of a human inspector. We are building the world’s best team in robotics. Join us in building out an industry where we automate repetitive tasks and maximize human intellect! Visit to view our open positions.

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