Machine Learning Engineer, Battery Manufacturing Development

Tesla Motors
Austin, TX, United States
15 days ago
Apply on jobs.localjobnetwork.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

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
+3 more
Data Lakes Plotly Vertica

Job 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

Requirements

  • 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

Benefits & conditions

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

  • 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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on jobs.localjobnetwork.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:28 min

Identifying root causes through global and local SHAP plots

Bernhard Bernhard +1 · World Congress 2025

3:43 min

The enduring legacy of the amazon S3 storage API

Chris Heilmann Chris Heilmann +3 · LIVE

1:33 min

Summary of machine learning capabilities and engineering opportunities

Jan Zawadzki · LIVE

4:38 min

Visualizing source data with the TensorFlow visualization component

Håkan Silfvernagel · LIVE

3:44 min

Automating storage savings with S3 intelligent tiering

Sébastien Stormacq · World Congress 2021

Videos

See all

Related articles

See all