Machine Learning Engineer, Global Supply Chain

Tesla•Fremont, CA

About The Position

We are seeking a highly skilled Machine Learning Engineer to join the Supply Chain Engineering team. As a key member of the team, you will design, develop and iterate on agentic solutions that solve for key internal workstreams built onto data from various data sources. You will be responsible for developing, maintaining and deploying forecasting, optimization, and recommendation algorithms. Design, develop, and implement machine learning models for supply chain forecasting, including demand prediction, inventory optimization and risk assessment using techniques like supervised learning, convolutional neural networks, and tools such as PyTorch and Pandas Collaborate with supply chain planners to integrate ML models into existing platforms, ensuring real-time decision making for supplier selection, warehouse allocation, reduce costs and mitigate part availability risks Perform model validation and performance monitoring to ensure models maintain high accuracy Take ownership of production models, ensuring robust alerting systems for rapid issue resolution Work with diverse, heterogeneous datasets (supply, demand, seasonal variation) to build scalable solutions Translate ambiguous problem statements into actionable, end-to-end machine learning models Follow agile development practices and maintain high standards for clean, modular, and sustainable code Proven experience in scaling and optimizing inference for large ML models, particularly transformers or similar architectures Familiarity with quantization-aware training, model compression, and distillation for edge and real-time inference Proficiency with Python and C++ and deep learning frameworks such as PyTorch, TensorFlow, or JAX Strong understanding of computer systems and architecture, with experience deploying ML models on GPUs, TPUs, or NPUs Hands-on expertise with CUDA programming, low-level performance profiling, and compiler-level optimization (TensorRT, TVM, XLA)

Requirements

Proven experience in scaling and optimizing inference for large ML models, particularly transformers or similar architectures
Familiarity with quantization-aware training, model compression, and distillation for edge and real-time inference
Proficiency with Python and C++ and deep learning frameworks such as PyTorch, TensorFlow, or JAX
Strong understanding of computer systems and architecture, with experience deploying ML models on GPUs, TPUs, or NPUs
Hands-on expertise with CUDA programming, low-level performance profiling, and compiler-level optimization (TensorRT, TVM, XLA)

Responsibilities

Design, develop and iterate on agentic solutions that solve for key internal workstreams built onto data from various data sources.
Developing, maintaining and deploying forecasting, optimization, and recommendation algorithms.
Design, develop, and implement machine learning models for supply chain forecasting, including demand prediction, inventory optimization and risk assessment using techniques like supervised learning, convolutional neural networks, and tools such as PyTorch and Pandas
Collaborate with supply chain planners to integrate ML models into existing platforms, ensuring real-time decision making for supplier selection, warehouse allocation, reduce costs and mitigate part availability risks
Perform model validation and performance monitoring to ensure models maintain high accuracy
Take ownership of production models, ensuring robust alerting systems for rapid issue resolution
Work with diverse, heterogeneous datasets (supply, demand, seasonal variation) to build scalable solutions
Translate ambiguous problem statements into actionable, end-to-end machine learning models
Follow agile development practices and maintain high standards for clean, modular, and sustainable code

Benefits

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