Tesla · 3 hours ago
Staff Machine Learning Engineer, Intelligent Scheduling Systems
Fremont, CA
Full-time
Onsite
Senior Level, Lead/Staff
$168K/yr - $300K/yr
5+ years expTesla is seeking a Machine Learning Engineer to join their cross-functional team focused on building and scaling intelligent scheduling systems that drive service operations across their global network. The role involves using AI tools to enhance and automate scheduling workflows, and requires collaboration with software engineering and data science teams to deliver scalable solutions.
AutomotiveElectric VehicleEnergyManufacturingRenewable EnergyTransportation
Responsibilities
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
Qualification
Required
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, HuggingFace, LangChain, LlamaIndex, 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
Exceptional communication and collaboration skills across disciplines
A strategic and proactive mindset — comfortable with ambiguity and ownership of end-to-end project delivery
Preferred
Experience with logistics, supply chain, or operations tech is a plus
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
Company
Tesla
Tesla is an electric vehicle and clean energy company that provides electric cars, solar, and renewable energy solutions.
10001+ employees
H1B Sponsorship
Tesla has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2796)
2024 (2113)
2023 (1304)
2022 (1227)
2021 (1102)
2020 (723)
Funding
Current Stage
Public CompanyTotal Funding
$20.12BKey Investors
Societe GeneraleEuropean UnionPennDOT
2024-10-05Post Ipo Debt· $783M
2023-09-13Grant· $159.6M
2023-08-15Grant· $0.23M
Leadership Team
Vaibhav Taneja
Chief Financial Officer
Tom Zhu
SVP of Automotive
Recent News
2026-01-14
2026-01-14
Company data provided by crunchbase