Machine Learning Engineer, Factory Vision Systems

We are seeking a highly skilled Machine Learning Engineer to join our factory software machine learning and computer vision team. As a key member of the team, you will design, develop, and deploy production-grade ML models that power visual inspection, defect detection, and process monitoring across our factory and warehouse environments. You will take ambiguous operational challenges and build end-to-end solutions, leveraging cutting-edge techniques in computer vision, deep learning, and multi-modal data processing. What You’ll Do

• Design, develop, and implement computer vision and machine learning models for factory and warehouse applications, including defect detection, visual inspection, process monitoring, and quality assurance using techniques like object detection, segmentation, and anomaly detection
• Build end-to-end ML pipelines from data collection and labeling through training, evaluation, and deployment across diverse factory environments
• Work with diverse, heterogeneous datasets combining multiple modalities including images, multi-spectral sensor outputs, video, text, and tabular data to build scalable solutions
• Take ownership of production models, ensuring robust monitoring, drift detection, and alerting systems for rapid issue resolution
• Collaborate with cross-functional teams in production, process engineering, controls, and quality to translate ambiguous problem statements into actionable, end-to-end machine learning solutions
• Perform model validation and benchmarking to ensure models maintain high accuracy and reliability in real-world factory conditions
• Follow agile development practices and maintain high standards for clean, modular, and sustainable production-ready code

• In-depth knowledge of Python for high-performance, data-intensive applications
• Proficiency with at least one modern deep learning framework such as PyTorch, TensorFlow, or JAX
• Expertise in computer vision, including convolutional neural networks, object detection, segmentation, and image classification
• Experience processing and cleaning large-scale, multi-modal datasets (images, multi-spectral sensor data, video, tabular data)
• Foundational knowledge of statistics for model comparison, experiment design, and assessing solution feasibility and performance
• Real-world experience deploying and maintaining production machine learning systems, including monitoring and alerting
• Strong communication skills with the ability to translate technical results for non-technical stakeholders

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Medical plans > plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company paid Basic Life, AD&D
• Short-term and long-term disability insurance (90 day waiting period)
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program

Expected Compensation $140,000 - $210,000/annual salary + cash and stock awards + benefits