Machine Learning Engineer

Job description

**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