Partner Engineer, Generative AI

About the role

Meta is seeking a Partner Engineer to join Meta’s AI Partner Engineering team, a technical team that works with strategic partners, machine learning organizations across the industry and all major cloud service providers for building and launching new Generative AI product services and experiences, and taking Large Language Models (LLMs) from research to production. In this role, you will engage with strategic partner companies and work closely with our Llama engineering and AI research teams. You will also represent Meta at developer conferences and events. You will be required to develop technical accelerators, case studies, white papers, blogs, reference architectures, and/or presentations to evangelize Meta’s AI design patterns and best practices.

Responsibilities

Apply relevant AI and machine learning techniques to build and launch generative AI solutions using Meta’s Llama and other state of the art LLMs Understand Meta’s AI, Llama architecture, frameworks, products and their underlying implementation Define and execute on a strategy to drive adoption of Llama and other Meta’s AI/ML platform offerings Work closely with cloud providers (e.g. AWS, Azure, GCP) and Meta’s strategic partners on deep learning & Llama integrations Serve as a technical point of contact for partners and internal teams at Meta, providing guidance on AI architecture and integration patterns Evangelize Llama & Gen AI services and share best practices through forums such as medium blogs, whitepapers, reference architectures and public engagement events Develop reference architectures, samples and other materials to share with the broader Meta developer community Work with key partners and Llama developer community to optimize existing generative AI models for improved performance, scalability, and efficiency Lead technical strategy and roadmap for long-term strategic partners with high level of autonomy to own and navigate long-term technical relationships with partners Proactively communicate feedback, updates, status to direct team as well as relevant cross-functional teams Create clear and concise documentation, including technical specifications, best practices guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders internally and externally

Minimum Qualifications

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 2+ years of experience as a software engineer, technical consultant or partner/sales engineer 2+ years of experience in one or more of the following areas: Deep Learning, LLMs, NLP, Speech, Conversational AI, AI infrastructure, Fine-tuning and optimizations of PyTorch models Software development experience in languages like Python, Java, Go, Rust, C/C++. (at least one) Experience with at least one LLM such as Llama, GPT, Claude, Falcon, etc Experience with at least one deep learning framework such as PyTorch and/or JAX Experience communicating and presenting to technical and business audiences