Machine Learning Engineer - Santa Clara California

Company: UnitX, Inc.
Location: Santa Clara, California
Posted On: 01/26/2025

Job Title:Machine Learning EngineerAbout Us:UnitX is building the world's best robotics product to accelerate human productivity in manufacturing. UnitX is a fast-moving startup with a team from Stanford and Google. Since inception, UnitX has deployed 500+ mission-critical systems across 95 of the world's leading manufacturers' production lines. Every year, $2.8B dollar worth of products go through UnitX 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 algorithmsCompensation & Benefits
      • $160,000 - 200,000 + equity
      • Full Medical, Dental, Vision, 401k
      • Unlimited PTO
      • Daily meals provided
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