Machine Learning Engineer
UnitX · Milpitas, CA · 3 mo ago
On-siteEngineering$160k–$180k/yrFull-time
What You'll Do
- 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 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.
Compensation Range
$160K - $180K