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Machine Learning Engineer, Scheduling Systems

Job in Fremont, Alameda County, California, 94537, USA
Listing for: Tesla
Full Time position
Listed on 2025-12-02
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: Staff Machine Learning Engineer, Intelligent Scheduling Systems

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What To Expect
Tesla is seeking a Machine Learning Engineer to join our cross-functional team of ML and software engineers focused on building and scaling intelligent scheduling systems that drive service operations across our global network. This includes solving complex, high-impact problems such as vehicle routing, resource allocation, demand forecasting, and operational optimization.

In this role, your primary focus will be using and integrating state-of-the-art AI tools — including large language models (LLMs) and autonomous agents — to build intelligent systems that enhance and automate scheduling workflows. You'll be responsible for bringing AI capabilities into production through robust engineering, experimentation, and continuous improvement.

You’ll collaborate with a team that blends software engineering, data science, and applied ML to deliver scalable solutions that operate in real-world environments.

What You'll Do

  • Design, build, and maintain production-grade intelligent scheduling systems powered by AI tools like large language models and agentic frameworks
  • Own the full lifecycle of ML and optimization models — from exploration and prototyping to deployment, monitoring, and continuous improvement
  • Develop workflows that leverage AI to improve decision-making, automate planning, and adapt to real-time operational constraints
  • Implement prompt engineering and orchestration techniques to improve performance, reliability, and user alignment
  • Conduct exploratory data analysis (EDA) to uncover insights, guide modeling decisions, and inform product direction
  • Contribute to system architecture and design, especially where AI, automation, and operational scale intersect
  • Collaborate cross-functionally to ensure solutions align with system design, operational needs, and end-user impact
  • Apply software engineering best practices — including version control, testing, CI/CD, and containerization — to ML and data pipelines
  • What You'll Bring

  • Degree in Computer Science, Artificial Intelligence, Data Science, Operations Research, Applied Math, or a related field (MS/PhD a plus), or related field, or equivalent experience
  • 5+ years of work experience in training and maintaining production ML models and data pipelines for real world applications
  • Expertise with large language models, AI agents, prompt engineering, and AI platforms (e.g. OpenAI, Hugging Face, Lang Chain, Llama Index, etc.)
  • Strong foundation in statistics, probability, ML, and optimization
  • Proficiency in Python data tools (e.g., SQL, pandas, numpy, Jupyter, matplotlib)
  • Familiarity with Golang or a willingness to learn it quickly
  • Proven history of delivering data-driven projects from inception through deployment
  • Experience with logistics, supply chain, or operations tech is a plus
  • Exceptional communication and collaboration skills across disciplines
  • A strategic and proactive mindset — comfortable with ambiguity and ownership of end-to-end project delivery
  • Benefits
    Compensation and Benefits
    Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:
  • 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 &…
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