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# Machine Learning Engineer, Battery Manufacturing Development

- **Company:** Tesla Motors
- **Location:** Austin, TX, United States
- **Contract:** Permanent contract
- **Skills:** Amazon S3, Data Cleansing, Data Visualization, Data Warehousing, R (Programming Language), Python (Programming Language), Machine Learning, Software Systems, SQL Databases, Tableau (Software), Data Processing, Large Language Models, Data Lakes, Plotly, Vertica
- **Published:** September 12, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88242854/1

## About the Role

* Strong experience with Python and SQL database queries

 * Proficiency with large volume data preprocessing and data wrangling

 * Strong mathematical/ statistical knowledge relevant to process control and monitoring

 * Experience with data warehouse and data lake technologies such as Clickhouse, S3

 * Experience with modern machine learning concepts and ML lifecycles

 * Proficiency with data visualization techniques and tools using Tableau, R Shiny, Python Dash, Plotly, etc.

 * Degree in quantitative fields such as Statistics, Data Science, Applied Mathematics, or equivalent experience

## Description

Tesla is lookingto hire a Machine Learning Engineerto contribute to thedevelopment of the data factory and manufacturing software services for our cutting-edge battery products. This position will help drive technological advancement by delivering data and software solutions to solvehigh-volumemanufacturing problems.Battery development isatthe heart of Tesla's mission, and thisis an exciting opportunity toaddress thecentral challengesin scalingelectric vehiclemanufacturing while seeing thephysical impact of your work.Tesla is a demanding and fast-paced environment where you will work with a highly motivated team on extremely challenging projects.
What You'll Do

 * Leverage large-scale manufacturing data systems to extract key improvement insights and facilitate engineering investigations

 * Develop robust and scalable algorithms/ predictive models to improve manufacturing process and quality control capabilities

 * Collaborate with Software Engineers and Controls Engineers to seamlessly integrate models, algorithms, and LLM-based workflows into production processes

 * Develop and experiment with data acquisition and processing workflows to extract, clean, and store manufacturing process knowledge from structured and unstructured sources (e.g., logs, work instructions, failure reports) as high-quality context for RAG and LLM applications

 * Build self-serve data tools to empower data-driven manufacturing

 * Clearly convey analyses and findings for cross-functional stakeholders


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