Partner Engineering GenAI - US

Socket.dev; Menlo Park (CA); On-site; USD 212,000 - 250,000; Full time

Job summary

Meta is seeking a GenAI Product Partner Engineer to collaborate with strategic partners, understand requirements, and ship integrated AI solutions across our platforms. You will work with partners to deliver scalable, production-ready generative AI capabilities and influence product direction.

You will mentor peers, contribute to technical content, and help grow the developer ecosystem while driving data-centered engagements and ensuring high-impact outcomes.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 5+ years in Software Eng, AI, ML or related field.
• 3+ years in Deep Learning, fine-tuning, inference optimization or distributed systems.
• Hands-on with modern foundational AI architectures beyond API interactions.
• Proficient reading/contributing to large-scale inference codebases (PyTorch/JAX).

Responsibilities

• Drive technical engagements with GenAI partners to understand requirements and deliver solutions.
• Design, build, and integrate end-to-end generative AI systems and launch-plan strategies.
• Develop content, tools, and documentation to empower developers and partners.
• Lead cross-functional technical initiatives and communicate with internal/external partners.
• Influence product roadmap based on partner feedback and business needs.
• Ship production level code and participate in code reviews.
• Mentor peers and participate in interviewing new team members.
• Contribute to the Meta AI developer ecosystem with case studies and courses.

Skills

Software Engineering

Artificial Intelligence

Machine Learning

Cross-functional leadership

Partner engagement

Systems design

Education

Bachelor's degree in CS or related field

Master's or PhD preferred

Tools

PyTorch

JAX

Transformers

LLMs tool stack

Weights/Tokenizers

Job description

We are seeking a Partner Engineer to join Meta's GenAI Product Partners team, focused on enabling strategic partners to succeed with our generative AI products and platforms. As a GenAI Product Partner Engineer, you bring in-depth experience in generative AI and associated tool stack, and will work closely with external partners to understand their technical requirements, design and ship solutions, and ensure seamless integration with our products. You will be responsible for driving technical engagements, inventing new generative AI assets, building relationships with partners, and identifying opportunities to grow partnerships.

Responsibilities

• Drive technical engagements with strategic GenAI partners to understand requirements and deliver solutions to complex problems
• Design, build, and integrate end-to-end generative AI systems and launch-plan strategies to meet partner needs
• Use broad range of technical and soft skills to build productive relationships with partners, and independently resolve complex technical and business needs
• Use expertise and product insight to deliver high-quality project/integration/partner engagements
• Work closely with product teams, guide workflow changes, and gain consensus from stakeholders while influencing product roadmap to meet the business needs
• Build and manage working relationships with partner technical counterparts and internal cross-functional teams
• Ship production level code, code reviews, and provide constructive feedback while quickly actioning feedback from code reviews conducted of your code
• Create technical content, tools, and documentation to empower developers and partners
• Contribute to the Meta AI developer ecosystem, including case studies, online courses, and best practices
• Influence decision-making through presentation and dissemination of data-centric analyses
• Bring in-depth experience in generative AI and associated tool stack, and provide consultation on domain-level projects
• Mentor peers, share knowledge, and promote collaboration, respect, and a positive team environment
• Participate in interviewing and onboarding of new team members

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience
• 5+ years of experience in one or more of the following areas: Software Engineering, Artificial Intelligence, Machine Learning, or a related field
• 3+ years of experience in Deep Learning, Model Fine-tuning, Inference Optimization, or Distributed Systems
• Direct experience working with modern foundational AI architectures (e.g., Transformers, Mixture-of-Experts, or hybrid/multimodal architectures) beyond API interactions (e.g., hands-on experience with weights, tokenizers, kernels, and model internals)
• Solid understanding of at least one Deep Learning framework (e.g., PyTorch or JAX) and the ability to read, translate, and contribute to large-scale inference codebases
• Experience leading complex cross-functional (XFN) technical initiatives and communicating technical concepts to internal and external partners
• Development experience in languages like Python, Java, Go, Rust, C/C++. (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

Preferred Qualifications

• 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, PyTorch)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Direct experience enabling the use of agentic frameworks or AI coding tools
• Master's or Ph.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 code

$212,000/year to $250,000/year + bonus + equity + benefits