Machine Learning Engineer

Job Title: Machine Learning Engineer

About Us

UnitX builds the world's leading physical AI systems to automate repetitive visual tasks in factories. UnitX is a fast-moving startup with a team from Stanford, MIT, Google, and beyond. Since inception, UnitX has deployed 1,000+ mission-critical systems across 190+ of the world's leading manufacturers' production lines.

Every year, $15B worth of products go through UnitX's 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

• Develop &
• Optimize Machine Learning Models:
• Design, train, and optimize deep learning models for defect detection and segmentation using high-resolution images and 3D sensor inputs. You will implement advanced computer vision techniques (including Stable Diffusion, Segment Anything Model (SAM), and transformer-based architectures) to ensure pixel-level precision and real-time inference. -
• Build Automated Pipelines:
• Develop and maintain automated pipelines for data preprocessing, augmentation, and model training to continuously optimize deployed solutions. -
• Deploy &
• Maintain Production-Ready Software:
• Develop scalable ML pipelines for deployment on both edge devices and cloud-based systems. You will optimize model inference for real-time decision-making, ensuring processing times remain under 20 milliseconds. -
• Collaborate Cross-Functionally:
• Work closely with software engineers, robotics specialists, and hardware teams to seamlessly integrate ML solutions into fully automated industrial workflows. -
• Monitor &
• Ensure Reliability:
• Implement automated monitoring and alerting systems to track model drift, identify failures, and ensure 24/7 fault tolerance in a manufacturing environment. -
• Develop Evaluation & Interpretability Tools:
• Create frameworks to assess model accuracy, precision, recall, and efficiency. You will design visualization dashboards, conduct A/B testing, and leverage explainable AI (XAI) to improve transparency in quality assurance. -
• Drive R&D & Cutting-Edge Solutions:
• Investigate emerging AI/CV techniques, including self-supervised learning, domain adaptation, and multimodal data fusion. You will develop novel architectures incorporating reinforcement learning and Generative AI, and contribute to academic publications, patents, and open-source projects. Who You Are: - Education:
• Bachelor's degree (or foreign equivalent) in Computer Science, Mathematics, Statistics, or a closely related discipline. -
• Experience: 3+ years of experience in the job offered or a related occupation. - Technical Expertise: Must possess at least 3 years of hands-on experience in the following areas: -
• Deep Learning & Neural Networks - Machine Learning Pipeline Development - Sensor Fusion & Signal Processing - Computer Vision & Real-Time Inference Optimization - Statistical Modeling & A/B Testing

Compensation & Benefits

Salary Range: $174,304 – $200,000 per year. (Final compensation is based on experience). - Full Medical, Dental, Vision, 401k - Unlimited PTO - Daily meals provided HOW TO APPLY Please send your resume and a cover letter to [email protected] and ensure you include Ref#MM0426 in the subject line.