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
Why Join UnitXThis 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.
