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Machine Learning Engineer

Job in Milpitas, Santa Clara County, California, 95035, USA
Listing for: UnitX
Full Time position
Listed on 2026-07-07
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 100000 - 150000 USD Yearly USD 100000.00 150000.00 YEAR
Job Description & How to Apply Below

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.

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
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