Sr. Machine Learning Engineer, AI Infrastructure
Description For Sr. Machine Learning Engineer, AI Infrastructure
Tesla's Bottle Rocket team is seeking a Senior Machine Learning Engineer to drive innovation in their generative AI platform. This role combines cutting-edge AI development with practical implementation, focusing on Large Language Models (LLMs) and advanced machine learning solutions. You'll be at the forefront of developing data-driven solutions that directly impact Tesla's ambitious technological goals.
Working in Tesla's dynamic environment, you'll collaborate with cross-functional teams to transform research concepts into scalable products. The role demands expertise in Python-based ML frameworks and the ability to optimize complex AI systems. You'll be responsible for designing, training, and deploying machine learning solutions while ensuring their scalability and reliability.
The position offers comprehensive benefits including competitive medical coverage, 401(k) with employer match, and stock purchase options. Tesla's commitment to innovation and sustainability makes this an ideal opportunity for those passionate about advancing AI technology in a meaningful way. The compensation package of $140,000-$300,000 reflects the senior nature of the role and Tesla's investment in top talent.
This role is perfect for candidates who combine technical expertise with a problem-solving mindset and want to contribute to Tesla's mission of accelerating the world's transition to sustainable energy. You'll be working in Palo Alto, at the heart of Silicon Valley, with some of the industry's brightest minds in AI and automotive technology.
Responsibilities For Sr. Machine Learning Engineer, AI Infrastructure
- Design, develop, train, and deploy machine learning solutions using generative AI 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 Sr. 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 Sr. Machine Learning Engineer, AI Infrastructure
- Aetna PPO and HSA plans with $0 payroll deduction
- Family-building, fertility, adoption and surrogacy benefits
- Dental and vision plans with $0 paycheck contribution
- Company Paid HSA Contribution
- Healthcare and Dependent Care FSA
- 401(k) with employer match
- Employee Stock Purchase Plans
- Company paid Basic Life, AD&D, disability insurance
- Employee Assistance Program
- Sick and Vacation time
- Back-up childcare and parenting support
- Voluntary benefits including critical illness, hospital indemnity
- Weight Loss and Tobacco Cessation Programs
- Tesla Babies program
- Commuter benefits
- Employee discounts and perks program
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