Meta
Partner Engineering GenAI - US
$179K–$250K
Menlo Park, CA · Full-time · Posted Sep 16, 2026
- Experience
- 5+ years in one or more of Software Engineering, Artificial Intelligence, Machine Learning, or a related field; 3+ years in one or more of Deep Learning, Model Fine-tuning, Inference Optimization, or Distributed Systems.
- Education
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
About the job
Enables strategic partners to adopt Meta’s generative AI products by designing, building, and integrating solutions, leading technical engagements, and supporting launches.
What you'll do
- Lead partner technical engagements and deliver solutions to complex requirements.
- Design, build, and integrate end-to-end generative AI systems and launch plans; ship production code.
- Create developer tools, content, and documentation, and collaborate with product teams to influence roadmaps.
What they ask for
- Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experience.
- 5+ years of experience in 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.
- Hands-on experience with foundational AI architectures beyond API interactions; knowledge of a Deep Learning framework and large-scale inference codebases; programming experience in at least one listed language.
Nice to have
- Active contributor to major open-source AI projects or experience managing public model release artifacts.
- Master’s or Ph.D. degree in Computer Science, Machine Learning, or a related technical field.
Pay
$179,000/year to $250,000/year (base salary)
Tools
Transformers, Mixture-of-Experts, PyTorch, JAX, Python, Java, Go, Rust
AI focus
Partner-facing generative AI engineering, including building and integrating systems, model fine-tuning and inference optimization, enabling agentic frameworks and AI coding tools, and applying responsible AI practices.
Model-written summary · the original posting is authoritative