Machine Learning Engineer, AI Infrastructure
Description For Machine Learning Engineer, AI Infrastructure
Tesla is seeking a Machine Learning Engineer to join their Bottle Rocket team, focusing on developing innovative solutions for their generative AI platform. This role combines cutting-edge AI technology with practical implementation, working specifically with Large Language Models (LLMs) and other generative AI technologies. The position offers an opportunity to work on transformative projects that directly impact Tesla's ambitious technological goals in the automotive and AI sectors.
The role demands expertise in Python-based machine learning frameworks and the ability to translate research concepts into production-ready systems. You'll be responsible for designing, developing, and deploying ML solutions while optimizing data pipelines and workflows for high-performance AI applications. The position requires a blend of technical expertise in AI/ML and practical problem-solving skills.
Working at Tesla means joining a company at the forefront of technological innovation, with a comprehensive benefits package including medical coverage, 401(k) matching, stock purchase options, and various family-friendly benefits. The compensation is highly competitive, ranging from $140,000 to $300,000 annually, plus additional cash and stock awards.
This is an ideal opportunity for an experienced ML engineer who wants to make a significant impact in the field of generative AI while working for a company that's revolutionizing both the automotive and artificial intelligence industries. The role offers the perfect blend of challenging technical work, innovative research, and practical implementation in a fast-paced, dynamic environment.
Responsibilities For Machine Learning Engineer, AI Infrastructure
- Design, develop, train, and deploy machine learning solutions using generative AI technologies and LLMs
- Analyze and improve AI models through experimentation and evaluation
- Work with software engineers to productionize machine learning models
- Optimize data pipelines and workflows for high-performance AI applications
- Deliver robust data products for the generative AI platform
- Conduct research in AI/ML with focus on generative AI
- Convert business requirements into data-driven solutions
Requirements For Machine Learning Engineer, AI Infrastructure
- Proven experience in applying machine learning and AI techniques, particularly with generative AI and LLMs
- Strong proficiency with Python-based ML frameworks (TensorFlow, PyTorch, JAX, TGI/vLLM, NumPy)
- Ability to deploy research prototypes as scalable production systems
- Expertise in working with large datasets, data pipelines, and AI models
- Experience building robust, reliable solutions
- Problem-solving mindset with strong attention to detail
Benefits For Machine Learning Engineer, AI Infrastructure
- Medical plans with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental and vision plans
- HSA with company contribution
- Healthcare and Dependent Care FSA
- LGBTQ+ care concierge services
- 401(k) with employer match
- Employee Stock Purchase Plans
- Life, AD&D, short-term and long-term disability insurance
- Employee Assistance Program
- Sick and Vacation time
- Back-up childcare
- Commuter benefits
- Employee discounts
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