22 hours ago
London, United KingdomSenior
Responsibilities
- Collaborate with product, design, operations, and infrastructure teams to build application experiences.
- Implement custom user interfaces using current programming techniques and technologies.
- Analyze and optimize code for quality, efficiency, and performance, and provide peer feedback through 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 lead efforts to reduce technical debt.
- Build and maintain components, features, and systems with expert end-to-end ownership.
- Develop systems, agentic pipelines, reinforcement-learning environments, evaluations, synthetic training-data pipelines, and evaluation tasks for frontier AI capabilities.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
- At least 8 years of programming experience in a relevant language, or at least 4 years of experience with a PhD.
- Experience using data and analysis to explain technical problems and provide detailed feedback and solutions.
- Experience driving organizational change and leading complex technical projects.
- Preferred experience with prompt/context engineering, agent orchestration, and emerging AI technologies.
- Preferred experience with large-scale infrastructure applications or similar systems.
- Preferred experience building verifiable environments and quality controls for AI training data, including test harnesses, automated graders, contamination detection, and taxonomy coverage.
- Preferred programming experience with C, C++, Java, Python, JavaScript, or Hack.
- Preferred experience with code reviews, testing, rollouts, monitoring, and proactive quality improvements.
- Preferred experience integrating AI tools to optimize or redesign workflows and designing automated pipelines for synthetic training data or evaluation tasks.
- Preferred knowledge of responsible and ethical AI practices, including risk assessment, bias mitigation, and quality and accuracy reviews.
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.