Tesla · 9 hours ago
Machine Learning Engineer
Fremont, CA
Full-time
Onsite
Mid, Senior Level
$140K/yr - $210K/yrTesla is looking for a highly skilled and motivated Machine Learning Engineer to support and upscale their Service Supply Chain Distribution strategies. The role involves building and productionizing machine learning models to optimize inbound network design and collaborating with various teams to drive impactful business changes.
EnergyElectric VehicleTransportationManufacturingRenewable EnergyAutomotive
Responsibilities
Build and productionize ML models & AI agents that power inbound network design, including cost, transit-time prediction, mode/route selection, and consolidation strategies
Design and extend our Digital Twin, integrating inbound network constraints to mirror real-world designs and enable near real-time decision support
Build and run large-scale “what-if” simulations to evaluate new inbound strategies quantifying the impact on cost, service levels, and DC operations
Perform sensitivity and stress testing on existing inbound network designs to identify bottlenecks, failure modes, and resiliency gaps, and translate findings into concrete recommendations for improvements
Own the ML lifecycle for inbound use cases: data pipelines, feature engineering, model evaluation, AB-testing, monitoring, and continuous retraining based on realized performance versus modeled expectations
Collaborate closely with Material Planning, Logistics, Finance, and Warehouse Operations to turn analytical outputs into executable inbound pilots and long-term standards, tracking realized performance vs. modeled expectations
Build decision-support tools, APIs, and UIs that expose inbound simulations, recommendations, and KPIs directly in our internal Digital Twin, enabling self-serve analysis for cross-functional partners
Translate complex quantitative results into clear narratives and visualizations, enabling leadership to make informed tradeoffs between cost, service, and operational complexity in the inbound network
Qualification
Required
Degree in computer science, AI, Applied Math, Operations Research, or related field, or equivalent experience
Strong Mathematical fundamentals and algorithms skills
Excellent programming, debugging, performance analysis, and test design skills
Strong programming skills in SQL, Python (experience with libraries such as NumPy, pandas, scikit-learn, TensorFlow, or PyTorch)
Hands-on experience developing full-stack applications using Django (Python), Java-based services, and react, with a strong understanding of RESTful API design and integration
Knowledge of MLOps practices, including CI/CD pipelines, model monitoring, and experience with containerization and orchestration tools such as Docker and Kubernetes
Experience leveraging LLMs, multimodal unsupervised learning, and Generative AI to drive innovative supply chain optimization solutions
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.
Founded in 2003
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
Company data provided by crunchbase