As a Machine Learning Engineer on the Infrastructure DesignX team, you will develop and scale the Machine Learning Platform that optimizes infrastructure planning and construction. Your focus will be on applying deep learning techniques to train neural networks using large-scale datasets. The role involves creating user-friendly products and driving scalability improvements across the platform. You will work closely with software engineers to integrate machine learning models into reliable systems.

• 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.
• Experience designing model architectures and building training workflows, evaluation tools, data pipelines, or inference optimizations.
• Experience developing computer vision models, 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 models.
• Experience with post-training or RL methods is a strong plus.
• Ability to solve open-ended technical problems with little guidance and possess excellent interpersonal skills.

• Design, develop, train, and deploy machine learning solutions leveraging generative AI technologies.
• Develop computer vision models for object detection, segmentation, and classification.
• Build models that extract structured information from technical documents, drawings, and diagrams.
• Develop forecasting and predictive models using large-scale operational data.
• Combine multiple data sources to develop and train end-to-end models.
• Analyze and improve the accuracy, efficiency, and scalability of AI models through data-driven experimentation.
• Work closely with software engineers to productionize machine learning models.
• Build and optimize model training, deployment, and monitoring workflows.

• Employees at Tesla are often offered day-one coverage with multiple medical options (some at $0 paycheck cost), dental/vision, company HSA contributions, a 401(k) match, and equity programs. Most roles also include paid time off and holidays, family-building support, employee assistance, commuter and childcare benefits, and access to discounts and wellness programs.