Partner Engineering GenAI - US

Meta; Menlo Park (CA); On-site; USD 179,000 - 250,000; Full time

Job summary

Meta is seeking a Partner Engineer for the GenAI Product Partners team in the US. You will enable strategic partners to succeed with generative AI products and platforms, crafting solutions, and ensuring tight integration with Meta's offerings.

You will drive technical engagements, build assets, and foster collaboration with internal teams and external partners, influencing product direction and delivering production-grade code.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.
• 5+ years in Software Engineering, AI/ML, or related field.
• 3+ years in Deep Learning, Model Fine-tuning, Inference Optimization, or Distributed Systems.
• Hands-on experience with modern foundational AI architectures beyond API interactions.
• Proficiency in at least one DL framework (PyTorch or JAX).
• Experience leading cross-functional technical initiatives and communicating with partners.
• Proficient in Python, Java, Go, Rust, or C/C++.
• Experience with generative AI tool stacks (LLMs) and external partners.

Responsibilities

• Drive technical engagements with GenAI partners to understand requirements and deliver solutions.
• Design and integrate end-to-end generative AI systems and launch plans.
• Build relationships with partners and internal teams, resolving complex needs.
• Deliver high-quality project/integration engagements using product insight.
• Guide product roadmap decisions by aligning with partner needs.
• Create technical content, tools, and documentation for developers.
• Contribute to Meta AI developer ecosystem through case studies and courses.
• Mentor peers and participate in onboarding of new team members.

Skills

Generative AI

PyTorch or JAX

Python

Distributed Systems

MLOps

Model fine-tuning

Cloud APIs

Cross-functional leadership

Education

Bachelor's degree in CS/related field

Master's or PhD (preferred)

Tools

PyTorch

JAX

LLMs (LLaMA, GPT, Claude)

Kernels/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.

Partner Engineering GenAI - US 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

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today - beyond the constraints of screens, the limits of distance, and even the rules of physics.

Meta is proud to be an Equal Employment Opportunity and affirmative action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].

Individual compensation:

$179,000/year to $250,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.