Job Information
Meta Partner Engineer, Generative AI in Bangalore, India
Summary:
Meta is seeking a Partner Engineer to join Meta’s AI Partner Engineering team, a highly technical team that works with partners, machine learning leaders across the industry and all major cloud service providers for building and launching new Generative AI product services and experience and taking Large Language Models (LLMs) from research to production. In this role, you will engage with some of the world's most influential companies and work closely with our Llama engineering and AI research teams. You will have industry experience working with PyTorch on a range of deep learning, machine learning, natural language processing, large language models, generative AI, conversational AI, reinforcement learning (RLHF) problems. 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.
Required Skills:
Partner Engineer, Generative AI 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
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 partners on deep learning & Llama integrations
Be a subject matter technical expert, and have strategic influence on partners and internal teams at Meta
Provide thought leadership, evangelize Llama & Generative AI services and share best practices through forums such as medium blogs, whitepapers, reference architectures and public-speaking 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.
Leads technical strategy and roadmap for long-term strategic partners with high level of autonomy / Able to own and navigate long term technical relationship with partners
Has understanding of Responsible AI, proactively identifies risk to Meta and partners and drives involvement from the necessary cross functional partners
Effectively plan, lead and execute on projects with minimal direction & oversight from leadership
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:
Minimum Qualifications:
Understand Meta’s AI, Llama architecture, frameworks, products and their underlying implementation
3+ 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 building cloud solutions on any cloud. Experience with Open Source cloud stacks like Kubernetes, Kubeflow, Docker containers.
Experience presenting to technical and business audiences
Preferred Qualifications:
Preferred Qualifications:
BS, MS or Ph.D. degree in Computer Science or related quantitative field
Solid understanding of at least one Deep Learning framework (PyTorch, Tensorflow or MXNet)
Experience building Deep Learning - Computer Vision or Natural Language Processing or Recommender Systems models using the frameworks.
Apply relevant AI and machine learning techniques to build
Experience working with and build mindshare convincingly with any audience.
Experience working with internal and external partners
Data science background and experience manipulating/transforming data, model selection, model training, model optimization and deployment at scale.
Experience deploying production-grade machine learning solutions on public cloud platforms (like AWS)
Experience of launching a product / service or application into market is a plus
Contributed to an Open Source project, submitted PRs for features/ fixed bugs and/or created sample applications in OSS or participated in Kaggle competitions
Industry: Internet