Tesla

Makes electric cars, robotaxis and grid batteries

Software Engineer - Full stack Machine Learning Platform, Manufacturing Quality

Full-Stack EngineeringUpdated on Nov 9

Full-timeFremont, CA, USANo salary listedIn-person

About the Job

Requirements

A bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience.
Expert knowledge and experience writing Python and Go APIs using REST and gRPC standards.
Strong attention to detail and diligent unit- and integration-testing practices.
Experience with SQL and NoSQL databases and query optimization, including MySQL, Microsoft SQL, MongoDB, Elasticsearch, and Kafka.
Experience with web technologies and frameworks, including React.

Responsibilities

Design, develop, and maintain internal machine learning platforms, incorporating model tracking features such as experiment logging and lineage, model version control systems, and large language model evaluation frameworks to assess accuracy, bias, and efficiency.
Architect systems, databases, and integrations tailored to machine learning workflows, including real-time monitoring of development and production model performance metrics such as drift detection, latency, and inference accuracy.
Integrate with back-end APIs and iterate on payloads and responses in collaboration with back-end developers, while incorporating tools for tracking parameter-tuning versions and A/B testing performance to compare model variants.
Develop interactive front ends using React for visualization, configuration, execution, and monitoring of machine learning models, including dashboards for real-time performance insights, evaluation results, and experiment comparisons.
Write reliable and scalable Python and Go APIs using REST and gRPC standards to interact with machine learning systems, databases, and evaluation frameworks.
Design and develop real-time software systems using Kafka for streaming data pipelines that support model monitoring, A/B testing, and performance tracking.
Collaborate with machine learning engineers to deploy interactive machine learning solutions to production through rapid iteration, ensuring robust evaluation and monitoring mechanisms, and applying software engineering practices such as code reviews and design documentation.

Category	Manufacturing
Location	Fremont, California
Requisition ID	270058
Type	Full-time

Job Description

<div class="MSWordContent"><p>The Manufacturing Quality Data Engineering team specializes in predicting safety critical issues before they occur, protecting our customers. As part of Tesla's Vehicle Engineering organization, you'll have access to the data gold mine of design, manufacturing, and vehicle data sources, enabling you to design, develop, and deploy innovative generative SI and machine learning platforms globally. In this role, you will focus on UI and API development for global machine learning platforms.</div>

Job Responsibilities

Design, develop, and maintain Tesla's internal Machine Learning (ML) platforms, incorporating features for model tracking (e.g., experiment logging and lineage), model version control systems, and LLM evaluation frameworks to assess accuracy, bias, and efficiency
Architect new systems, databases, and integrations tailored to ML workflows, including real-time monitoring of development and production model performance metrics (e.g., drift detection, latency, and inference accuracy)
Integrate with back-end APIs, iterating on payloads and responses in collaboration with back-end developers, while incorporating tools for tracking parameter tuning versions and A/B testing performance to compare model variants
Develop interactive front ends using React for visualization, configuration, execution, and monitoring of ML models, including dashboards for real-time performance insights, evaluation results, and experiment comparisons
Write elegant, reliable, and scalable Python/Go APIs using REST/gRPC standards to interact with ML systems, databases, and evaluation frameworks
Design and develop real-time software systems using Kafka for streaming data pipelines that support model monitoring, A/B testing, and performance tracking
Collaborate with machine learning engineers to deploy interactive ML solutions to production through rapid iteration, ensuring robust evaluation, monitoring mechanisms, and best software engineering practices like code reviews and design documentation

Job Requirements

Bachelor's Degree in Computer Science, Information Technology, or a related field, or equivalent experience
Expert knowledge and experience in writing Python/Go APIs with REST/gRPC standard
Strong attention to details and diligent in unit testing and integration testing practices
Experience with SQL and NOSQL database and good knowledge in query optimization, such as MySQL, MicrosoftSQL, MongoDB, Elasticsearch, Kafka
Experience with web technologies and web frameworks (React)

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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