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Jobs · Engineering · California

Internship, Charging Data Modeling, Machine Learning Engineer (Winter/Spring 2027)

Tesla · Palo Alto, CA · 1 mo ago
On-siteEngineering$50.06–$58.89/hrInternship

About the Team

As a member of the Charging Data Modeling team, you will develop models and algorithms that bridge the engineering, service, deployment, and operation of Tesla's charging infrastructure to enhance the customer charging experience worldwide. You will also design next-generation fleet orchestration algorithms (with charging as a core focus) and use Tesla's Robotaxi simulation environment to test and refine these strategies at scale. This work is highly impactful-shaping the charging experience for millions of customers today while laying the foundation for autonomous fleets tomorrow.

What You'll Do

  • Use statistical analysis and large-scale data to extract insights on fleet usage, charging trends, performance, and customer behavior
  • Improve data-driven decision making through rigorous analysis, machine learning modeling, and clear communication with stakeholders
  • Leverage insights to inform planning, siting, timing, and optimization of Tesla's EV charging infrastructure
  • Design, prototype, and help productionize algorithms that drive customer-facing UI features and pricing signals
  • Develop charging-aware fleet orchestration algorithms that help determine when, where, and how vehicles should charge
  • Contribute to Tesla's robotaxi simulation platform to evaluate charging strategies, stress-test algorithms, and validate results against real fleet data
  • Contribute to Tesla's vehicle algorithms to predict energy consumption and recommend optimal charging locations
  • Build reliable, fast, and dynamic data tools and pipelines that support modeling and decision systems at fleet scale
  • Collaborate cross-functionally to turn analytical insights into product, operational, and algorithmic decisions

What You'll Bring

  • Currently pursuing a Bachelor's, Master's, or PhD in a quantitative field (e.g., Math, Economics, Statistics, Computer Science, Operations Research, Engineering) with a graduation date between May 2027 and May 2028
  • Strong programming skills with a solid foundation in data structures and algorithms
  • Proficiency in data analysis and modeling in Python; experience with Golang and collaborative code development is a plus
  • Proficiency in SQL (relational databases) and/or NoSQL databases
  • Experience with statistical data analysis and machine learning
  • Ability to clearly communicate insights to cross-functional teams
  • Background in machine learning with experience using both supervised and unsupervised models
  • Experience with time-series or geospatial datasets
  • Experience with experiment design and causal inference methods
  • Experience with Spark, Hadoop, or streaming data
  • Background in optimization techniques applied to fleet, logistics, or energy problems
  • Quantitative projects available online (GitHub, blog posts, papers, etc.)
  • Experience applying ML or optimization approaches to real-world infrastructure, pricing, or simulation problems

Benefits

  • Medical plans with $0 payroll deduction options
  • Family-building, fertility, adoption and surrogacy benefits
  • Dental (including orthodontic coverage) and vision plans with $0 payroll contribution options
  • Company Paid HSA Contribution when enrolled in the High Deductible Medical Plan with HSA
  • Healthcare and Dependent Care Flexible Spending Accounts (FSA)
  • 401(k), Employee Stock Purchase Plans, and other financial benefits
  • Company Paid Basic Life, AD&D, and short-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 including critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
  • Commuter benefits
  • Employee discounts and perks program

Pay

$50.06 - $58.89 + 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.

This response is AI-generated, for reference only.

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