Machine Learning Engineer

About the role

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 james@unitxlabs.com and ensure you include Ref#MM0426 in the subject line.

Posted Nov 6, 2026