8 days ago
Base Salary
$219k - $301k/yr
Responsibilities
- Maintain reinforcement learning black-box environment verticals for Muse, MetaAI, and other internal products.
- Build and maintain infrastructure supporting frontier evaluations, RL datasets, and experimentation for agents, coding, and related applications.
- Enable secure execution of challenging agentic evaluations and reinforcement learning problems.
- Develop and connect research-stack infrastructure to product engineering through black-box RL infrastructure.
- Address security, development environments, virtual machine interactions, and the core RL infrastructure framework.
- Collaborate across research, product engineering, data, and infrastructure teams and provide technical leadership for complex multi-person projects.
Requirements
- Bachelor’s degree in computer science, computer engineering, or a relevant technical field, or equivalent practical experience.
- At least 6 years of industry experience in machine learning engineering, AI research, software engineering, or a related field.
- At least 4 years providing technical leadership for complex, multi-person projects.
- Experience with reinforcement learning infrastructure at scale, including PPO/GRPO-family algorithms, RLHF/RLAIF, or agentic RL with long-horizon, tool-using rollouts.
- Strong Python skills and proficiency in a systems language such as C++, Rust, or Go.
- Track record of solving ambiguous real-world problems and delivering measurable impact within defined timelines.
- Ability to work independently, lead across functions, and adapt to evolving evidence and priorities.
- Preferred: experience with sandboxed execution or environment infrastructure, research platforms, API and abstraction design, and open-source machine learning infrastructure.
Benefits
- Bonus, equity, and benefits are offered in addition to the stated base salary.
About Meta
Meta builds social platforms and communication apps—including Facebook, Instagram, WhatsApp, and Messenger—and develops AR/VR hardware and software such as Quest to power immersive computing. It monetizes primarily through advertising tools for businesses, with additional revenue from devices and services, and operates a massive global infrastructure. Founded in 2004 and headquartered in Menlo Park, California, Meta Platforms, Inc. is a public company traded on Nasdaq under the ticker META.