Machine Learning Engineer

Department: Software

Location: HQ

Compensation: $160K – $180K • Offers Equity

Employment Type: FullTime

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