What To ExpectWe 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 DoDesign, 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
What You'll BringIn-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
BenefitsCompensation and BenefitsAlong 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 + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment., Tesla
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Seniority level
Entry level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Motor Vehicle Manufacturing, Renewable Energy Semiconductor Manufacturing, and Utilities