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# Machine Learning Engineer, DesignX

- **Company:** Tesla Motors
- **Location:** Palo Alto, CA, United States
- **Salary:** $140,000.0 - $258,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computer Vision, High-Level Architecture, Python (Programming Language), Machine Learning, NumPy, Object Detection, Operational Data Store, Tensorflow, Pytorch, Large Language Models, Generative AI, Information Technology, Data Pipelines
- **Published:** August 15, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88044963/1

## About the Role

* Degree in computer science, or exceptional technical ability with practical machine learning experience
 * Proven experience in applying machine learning and AI techniques to solve real-world problems, particularly with generative AI and LLMs
 * Strong proficiency writing production-quality code with Python-based machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, JAX, TGI/vLLM, NumPy)
 * Experiencedesigning model architectures and/orbuilding training workflows, evaluation tools, data pipelines, or inference optimizations
 * Experience developing computer vision models, such as object detection, segmentation, or classification, including extracting structured information from documents, drawings, or diagrams
 * Experience building forecasting or predictive models on large-scale or time-series data
 * Background in agentic systems and/or multimodal (vision + language) models
 * Experience with post-training or RL methods (PPO, GRPO, RLHF) is a strong plus
 * Ability to solve open-ended and difficult technical problems with little guidance, with excellent interpersonal, communication, and collaboration skills

## Description

The Machine Learning Platform empowers our engineers to design, build, and manage infrastructure across the nation faster and more efficiently. As infrastructure buildouts, power demands, and construction costs grow more than ever, we're looking for an exceptional machine learning engineer to drive scalability improvements and new capabilities across the platform.
What You'll Do

 * Design, develop, train, and deploy machine learning solutions that leverage generative AI technologies, such as Large Language Models (LLMs)
 * Develop computer vision models for object detection, segmentation, and classification to identify infrastructure components and site conditions
 * Build models that extract structured information from technical documents, drawings, and diagrams
 * Develop forecasting and predictive models that turn large-scale operational data into reliable predictions
 * Combine multiple data sources, including image, audio, thermal, mechanical, weather, and other sensors, to develop and train end-to-end models
 * Analyze and improve the accuracy, efficiency, and scalability of AI models through rigorous data-driven experimentation, evaluation, and iterative training
 * Work closely with software engineers to productionize machine learning models and integrate them into scalable, reliable systems
 * Build and optimize model training, deployment, and monitoring workflows to enable high-performance AI applications in production


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