Partner Engineering GenAI - US

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 Gen

AI - 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., Py Torch 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, Py Torch)
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 Whats App 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.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $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.

Equal Employment Opportunity:

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
Apply for this job
Take the first step toward a rewarding career at Meta.
Recruiters can view your conversations with AI. Using AI is optional and does not impact the outcome of your application process.Learn more about AI usage and settings.
Sign up
to ask follow-up questions