D. degree in Computer Science, Machine Learning, or a related technical field Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Deep, up-to-date knowledge of cutting-edge AI research papers and the ability to rapidly translate novel architectural concepts (e.g., test-time computation, speculative decoding, linear attention) into functional deployment codeMeta builds technologies that help people connect, find communities, and grow businesses. (at least one) Experience with generative AI tool stacks including LLMs such as LLaMA, GPT, Claude, etc Experience working with external partners, customers, or stakeholders to understand their technical requirements and deliver solutions Experience with cloud-based technologies, APIs, and data integration Experience executing end-to-end launch day operations for major AI releases, technical blogs, and developer repositories Active contributor to major open-source AI projects or experience managing public model release artifacts (e.g., SGLang, vLLM, llama.cpp,