22 hours ago
London, United KingdomSenior
Responsibilities
- Collaborate with product, design, operations, and infrastructure teams to build innovative application experiences.
- Build complex systems, agentic pipelines, reinforcement learning environments, and evaluations that generate high-quality training signals.
- Implement custom user interfaces using modern programming techniques and technologies.
- Analyze and optimize code for quality, efficiency, and performance, and participate in code reviews.
- Set direction and goals, lead major initiatives, provide technical guidance and mentorship, and onboard team members.
- Architect efficient and scalable systems for complex applications.
- Identify and resolve performance and scalability issues and reduce technical debt.
- Establish end-to-end ownership of components, features, and systems.
Requirements
- 8+ years of programming experience in a relevant language, or 4+ years of experience with a PhD.
- Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
- Experience using data and analysis to explain technical problems and provide detailed feedback and solutions.
- Demonstrated experience driving organizational change and leading complex technical projects.
- Preferred: 6+ years of relevant experience building large-scale applications or similar experience.
- Preferred: experience with code reviews, testing, rollouts, monitoring, and proactive quality improvements.
- Preferred: proficiency in languages such as C, C++, Java, Swift, Kotlin, Python, JavaScript, or Hack.
- Preferred: experience integrating AI tools, applying responsible and ethical AI practices, and developing prompt/context engineering or agent orchestration skills.
- Preferred: experience designing automated pipelines for synthetic training data or evaluation tasks.
- Preferred: experience building verifiable AI training environments and quality controls, including test harnesses, automated graders, contamination detection, and taxonomy coverage.
Tech Stack
Categories
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.