Tesla
Machine Learning Engineer, Global Supply Chain
What To Expect
Tesla is seeking a highly skilled Machine Learning Engineer to join the Supply Chain Engineering team. As a key member, 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.
What You'll Do
Design, develop, and implement machine learning models for supply chain forecasting, including demand prediction, inventory optimization, and risk assessment using 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, cost reduction, and mitigation of 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.
What You'll Bring
Proven experience scaling and optimizing inference for large ML models, particularly transformers or similar architectures.
Experience 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).
Benefits
Aetna PPO and HSA plans – 2 medical plan options with $0 payroll deduction.
Family‑building, fertility, adoption, and surrogacy benefits.
Dental (including orthodontic coverage) and vision plans, both with a $0 paycheck contribution.
Company‑paid HSA contribution when enrolled in the high deductible Aetna plan with HSA.
Healthcare and dependent care flexible spending accounts (FSA).
401(k) with employer match, E‑S‑P plans, and other financial benefits.
Company‑paid basic life, AD&D, short‑term and long‑term disability insurance.
Employee assistance program.
Sick and vacation time (flex time for salary positions) and paid holidays.
Backup childcare and parenting support resources.
Voluntary benefits: 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 $133,440 – $200,160 annual salary + cash and stock awards + benefits. Pay may vary based on market location, job‑related knowledge, skills, and experience. The total compensation package is subject to a variety of factors and other elements dependent on the position offered.
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Tesla is seeking a highly skilled Machine Learning Engineer to join the Supply Chain Engineering team. As a key member, 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.
What You'll Do
Design, develop, and implement machine learning models for supply chain forecasting, including demand prediction, inventory optimization, and risk assessment using 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, cost reduction, and mitigation of 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.
What You'll Bring
Proven experience scaling and optimizing inference for large ML models, particularly transformers or similar architectures.
Experience 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).
Benefits
Aetna PPO and HSA plans – 2 medical plan options with $0 payroll deduction.
Family‑building, fertility, adoption, and surrogacy benefits.
Dental (including orthodontic coverage) and vision plans, both with a $0 paycheck contribution.
Company‑paid HSA contribution when enrolled in the high deductible Aetna plan with HSA.
Healthcare and dependent care flexible spending accounts (FSA).
401(k) with employer match, E‑S‑P plans, and other financial benefits.
Company‑paid basic life, AD&D, short‑term and long‑term disability insurance.
Employee assistance program.
Sick and vacation time (flex time for salary positions) and paid holidays.
Backup childcare and parenting support resources.
Voluntary benefits: 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 $133,440 – $200,160 annual salary + cash and stock awards + benefits. Pay may vary based on market location, job‑related knowledge, skills, and experience. The total compensation package is subject to a variety of factors and other elements dependent on the position offered.
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