Content Engineer, Generative AI Full-time

The Generative AI team ships reliable, cutting-edge applications built on Tesla’s in-house platform to help solve a wide variety of far-reaching problems using modern AI- and ML-based techniques. The team is looking for a Content Engineer to focus on refining & optimizing content for Retrieval-Augmented Generation (RAG) workflows, ensuring high-quality data sources, and devising robust prompt engineering strategies. This role will collaborate closely with cross-functional teams to enhance content alignment, define technical writing requirements, establish content curation standards, and develop best practices for effective knowledge retrieval.

Responsibilities

• Gather requirements from stakeholders with wide-ranging business problems and help devise action plans towards utilizing AI platforms to add value
• Review and update existing content, and create new content, that is optimized for the latest language models that work to answer user queries
• Program-manage content-specific initiatives such as analyzing data sources, authoring platforms, content management systems, and recommending and leading content migrations as needed
• Improve and maintain the underlying components of the generative AI platform by staying closely looped into the latest technical upgrades and making content adjustments as needed
• Deep dive into technical topics within existing production systems in the infrastructure engineering space, and new industry research, to maximize efficiency in adapting to the latest technologies in the AI and ML spaces

Requirements

• Background in technical writing and content strategy, with proven experience in large-scale content systems and curation
• Experience working closely with engineers and other subject experts to not only document their expertise, but also to learn it and apply it to projects
• Proficiency in taking ideas from research prototypes and deploying them into productionized services
• A healthy respect for inherent complexity and a deep suspicion of accidental complexity
• Experience delivering real-world generative AI applications, especially ones based around Large Language Models (LLMs) is preferred
• Practical experience with the Python ML ecosystem (Tensorflow, PyTorch, JAX, LangChain, TGI/vLLM, etc.) is preferred
• Knowledge of Python internals for techniques necessary to scale to large numbers of concurrent users is preferred

Compensation and Benefits
Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Aetna PPO and HSA plans > 2 medical plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Company Paid (Health Savings Account) HSA Contribution when enrolled in the High Deductible Aetna medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• LGBTQ+ care concierge services
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company paid Basic Life, AD&D, short-term and long-term disability insurance
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions), and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program
Expected Compensation

$104,000 – $210,000/annual salary + cash and stock awards + benefits

Pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.