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Sr. Machine Learning Engineer, AI Infrastructure

Tesla
Palo Alto, CA Full-time 1/28/2026
Undergraduate Entry-Level
Approval 99.3%Total filings 1,102New hires 320
💎 Strong Sponsor
FY 2025

Job Description

As a Machine Learning Engineer on the Bottle Rocket team at Tesla, you will develop innovative, data-driven solutions using generative AI technologies. Your role involves leveraging machine learning models to solve complex problems, collaborating with cross-functional teams, and optimizing AI applications to drive impactful insights.

Requirements

  • Proven experience in applying machine learning and AI techniques to solve real-world problems, particularly with generative AI and LLMs
  • Strong proficiency with Python-based machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, JAX, TGI/vLLM, NumPy)
  • Demonstrated ability to take research prototypes and deploy them as scalable, production-grade systems
  • Expertise in working with and optimizing large datasets, data pipelines, and AI models
  • Experience building robust, reliable solutions that minimize downtime and maximize user impact
  • A problem-solving mindset, with strong attention to detail and a true follower of Occam's razor when designing and implementing solutions

Responsibilities

  • Design, develop, train, and deploy machine learning solutions that leverage generative AI technologies, such as Large Language Models (LLMs)
  • Analyze and improve the accuracy, efficiency, and scalability of AI models through rigorous data-driven experimentation, evaluation, and iterative model training processes
  • Work closely with software engineers to productionize machine learning models and integrate them into scalable, reliable systems
  • Optimize data pipelines and workflows to enable high-performance AI applications, leveraging specialized hardware when appropriate
  • Deliver robust, high-impact data products that inform decision-making and enhance the capabilities of the generative AI platform
  • Conduct research and remain up-to-date on the latest developments in AI/ML, with a special focus on generative AI, to rapidly test and prototype new ideas
  • Convert complex business requirements and research findings into actionable insights and data-driven solutions

Benefits

  • 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.