| Location | Fremont, CA |
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.
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
Benefits
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
401k 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
140000 - 210000annual salary cash and stock awards benefits
Pay 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.