Tesla

Makes electric cars, robotaxis and grid batteries

Machine Learning Engineer - Factory Vision Systems

Computer VisionConfirmed live in the last 24 hours

Full-timeFremont, CA, USANo salary listedIn-person

About the Job

Requirements

In-depth knowledge of Python for high-performance, data-intensive applications.
Proficiency with at least one modern deep learning framework, such as PyTorch, TensorFlow, or JAX.
Expertise in computer vision, including convolutional neural networks, object detection, segmentation, and image classification.
Experience processing and cleaning large-scale, multi-modal datasets, including images, multi-spectral sensor data, video, and tabular data.
Foundational knowledge of statistics for model comparison, experiment design, and assessing solution feasibility and performance.
Real-world experience deploying and maintaining production machine learning systems, including monitoring and alerting.
Ability to translate technical results for non-technical stakeholders.

Responsibilities

Design, develop, and implement computer vision and machine learning models for factory and warehouse applications, including defect detection, visual inspection, process monitoring, and quality assurance, using techniques such as object detection, segmentation, and anomaly detection.
Build end-to-end machine-learning pipelines from data collection and labeling through training, evaluation, and deployment across diverse factory environments.
Work with heterogeneous, multi-modal datasets that combine images, multi-spectral sensor outputs, video, text, and tabular data to build scalable solutions.
Take ownership of production models, ensuring robust monitoring, drift detection, and alerting systems for rapid issue resolution.
Collaborate with teams in production, process engineering, controls, and quality to translate ambiguous problem statements into actionable, end-to-end machine-learning solutions.
Perform model validation and benchmarking to ensure models maintain high accuracy and reliability in real-world factory conditions.
Follow agile development practices and maintain clean, modular, sustainable, production-ready code.

Category	Engineering & Information Technology
Location	Fremont, California
Requisition ID	265269
Type	Full-time

Job Description

<div class="MSWordContent"><p>We are seeking a highly skilled Machine Learning Engineer to join our factory software machine learning and computer vision team. As a key member of the team, you will design, develop, and deploy production-grade ML models that power visual inspection, defect detection, and process monitoring across our factory and warehouse environments. You will take ambiguous operational challenges and build end-to-end solutions, leveraging cutting-edge techniques in computer vision, deep learning, and multi-modal data processing.</div>

Job Responsibilities

Design, develop, and implement computer vision and machine learning models for factory and warehouse applications, including defect detection, visual inspection, process monitoring, and quality assurance using techniques like object detection, segmentation, and anomaly detection
Build end-to-end ML pipelines from data collection and labeling through training, evaluation, and deployment across diverse factory environments
Work with diverse, heterogeneous datasets combining multiple modalities including images, multi-spectral sensor outputs, video, text, and tabular data to build scalable solutions
Take ownership of production models, ensuring robust monitoring, drift detection, and alerting systems for rapid issue resolution
Collaborate with cross-functional teams in production, process engineering, controls, and quality to translate ambiguous problem statements into actionable, end-to-end machine learning solutions
Perform model validation and benchmarking to ensure models maintain high accuracy and reliability in real-world factory conditions
Follow agile development practices and maintain high standards for clean, modular, and sustainable production-ready code

Job Requirements

In-depth knowledge of Python for high-performance, data-intensive applications
Proficiency with at least one modern deep learning framework such as PyTorch, TensorFlow, or JAX
Expertise in computer vision, including convolutional neural networks, object detection, segmentation, and image classification
Experience processing and cleaning large-scale, multi-modal datasets (images, multi-spectral sensor data, video, tabular data)
Foundational knowledge of statistics for model comparison, experiment design, and assessing solution feasibility and performance
Real-world experience deploying and maintaining production machine learning systems, including monitoring and alerting
Strong communication skills with the ability to translate technical results for non-technical stakeholders

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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