Machine Learning Engineer, Global Supply Chain

What to Expect

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 work streams 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 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

What You’ll Bring

• 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, Tensor Flow, 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 (Tensor

RT, TVM, XLA)

Compensation and Benefits

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 have options with a $0 paycheck contribution

• Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna 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

• Employee Assistance Program

• Sick and Vacation time (Flex time for salary 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

$133,440 - $200,160/annual 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.

#JLjbffr