Machine Learning Engineer

Machine Learning Engineer

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.

• 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.
• Engineer software that runs on the production line 24/7 to efficiently execute our algorithms in real time with each decision made under 20ms.
• Develop metrics and tools to evaluate various model performance and improve visibility and interpretation of our system.
• Explore new solutions and push the boundaries of the field including using Stable Diffusion, SAM and building applications for critical missions in the manufacture fields.

• 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.

• Master’s degree in Computer Science, Mathematics, Physics, or a relevant technical field.
• Experience with model inference optimization.
• Experience with non‑ML CV algorithms.

• Competitive cash and equity.
• Full Medical, Dental, Vision, 401k.
• Unlimited PTO.
• Daily meals provided.

Compensation Range: $160K - $180K