Machine Learning Engineer, Factory Vision Systems

Responsibilities

• Create and deploy computer vision and ML models for factory and warehouse use, covering defect detection, visual inspection, process monitoring, and quality assurance with object detection, segmentation, and anomaly detection techniques
• Develop end-to-end ML pipelines from data collection and labeling to training, evaluation, and deployment across varied manufacturing environments
• Handle diverse, multi-modal data, including images, multi-spectral sensor outputs, video, text, and tabular data, to deliver scalable factory solutions
• Own production models with robust monitoring, drift detection, and alerting to enable rapid issue resolution
• Collaborate with production, process engineering, controls, and quality teams to turn ambiguous problems into complete ML solutions
• Validate and benchmark models to ensure accuracy and reliability under real-world factory conditions
• Adhere to agile practices and produce clean, modular, production-ready code with sustainable maintainability

Requirements

• Strong Python expertise for high-performance, data-intensive applications
• Experience with at least one modern deep learning framework such as PyTorch, TensorFlow, or JAX
• Deep knowledge of computer vision, including CNNs, object detection, segmentation, and image classification
• Experience preprocessing and cleaning large-scale, multi-modal datasets (images, multi-spectral sensor data, video, tabular data)
• Foundational statistics for model comparison, experimental design, feasibility considerations, and performance assessment
• Hands-on experience deploying and maintaining production ML systems, including monitoring and alerting
• Excellent communication skills for conveying technical results to non-technical stakeholders

Technologies

• Python
• PyTorch
• TensorFlow
• JAX

Benefits

• Medical plans with multiple options and zero payroll deduction
• Family-building, fertility, adoption, and surrogacy benefits
• Dental and vision plans including orthodontic coverage with zero payroll contribution
• Company paid Health Savings Account contributions when enrolled in a high-deductible plan
• Healthcare and Dependent Care Flexible Spending Accounts
• 401(k) with employer match, Employee Stock Purchase Plan, and other financial benefits
• Company paid Basic Life and AD&D insurance
• Short-term and long-term disability coverage
• Employee Assistance Program
• Sick and vacation time, flexible time for salaried roles, accrued hours for hourly roles, and paid holidays
• Back-up childcare and parenting support resources
• Voluntary benefits including critical illness, hospital indemnity, accident insurance, theft and legal services, and pet insurance
• Weight loss and tobacco cessation programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program

What to Expect

Join a factory software machine learning and computer vision team to design, develop, and deploy production-grade models that power visual inspection, defect detection, and process monitoring across factory and warehouse environments. You will translate operational challenges into end-to-end ML solutions using advanced computer vision, deep learning, and multi-modal data.

Expected Compensation

Salary range is USD 140,000 to 210,000 per year, plus additional cash and stock awards and benefits. Final compensation may vary based on location, job-related knowledge, skills, and experience, and may include other elements associated with the offered role. Details of benefit participation will be provided with an offer.