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Lead AI Engineer for Manufacturing Solutions

2 months ago


California, United States UnitX Full time

Job Title:

Senior Machine Learning Engineer

About the Role:

UnitX is at the forefront of the robotics sector, dedicated to enhancing operational efficiency in manufacturing environments. Our innovative team, comprised of industry leaders from prestigious institutions, has successfully implemented advanced AI systems across numerous production lines for top-tier manufacturers globally. Our AI-driven inspection technology, utilized by major players in the battery production industry, safeguards the quality of high-value products.

If you are enthusiastic about developing groundbreaking computer vision technologies that redefine industry standards and improve manufacturing processes, this position presents a remarkable opportunity.

Your Key Responsibilities:

  • Innovate and design sophisticated algorithms to interpret raw sensor data for defect identification and accurate localization in high-resolution images or 3D data.
  • Engineer software solutions for real-time application on production lines, ensuring algorithms execute with rapid response times of less than 20 milliseconds per decision.
  • Establish metrics and tools to evaluate model performance, fostering transparency and understanding of our AI systems.
  • Investigate and implement state-of-the-art technologies such as Stable Diffusion and SAM to transform the industry, developing applications for essential operations.

Qualifications:

  • A Bachelor's degree in Computer Science, Mathematics, Physics, or a related technical discipline; relevant practical experience is also valued. A solid grounding in applied mathematics is essential.
  • Over 5 years of professional experience, with a minimum of 2 years focused on creating machine learning models for computer vision in industrial settings.
  • Strong understanding of Deep Learning frameworks, particularly PyTorch or TensorFlow, alongside excellent Python programming skills for developing efficient solutions within large codebases.
  • Outstanding communication and decision-making skills, capable of articulating experimental decisions and balancing innovative exploration with practical implementation.
  • Ability to thrive in complex and challenging environments.

Preferred Skills:

  • Practical experience with image generation techniques using diffusion models and other generative methodologies.
  • Demonstrated success in optimizing model inference processes.
  • Familiarity with computer vision methodologies beyond traditional machine learning approaches.

Compensation & Benefits:

  • Attractive salary of $180,000 along with equity options.
  • Comprehensive benefits package, including full Medical, Dental, Vision, and 401k plans.
  • Unlimited paid time off to promote a healthy work-life balance.
  • Daily meals provided to enhance your productivity.