Machine Learning Engineer

Machine Learning Engineer

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