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