4 days ago
London, United KingdomSenior
Responsibilities
- Collaborate with product, design, operations, and infrastructure teams to build application experiences.
- 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.
- Work across programming languages and technologies.
- Own components, features, or systems with expert end-to-end understanding.
- Identify model capability gaps and build agentic pipelines, reinforcement learning environments, evaluations, and training-signal systems.
- Design automated pipelines for synthetic training data and evaluation tasks, with quality controls for AI training data.
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 driving organizational change and leading complex technical projects.
- Experience using data and analysis to explain technical problems and provide detailed feedback and solutions.
- Preferred: Master’s degree or PhD in Computer Science or a related technical field.
- Preferred: experience with TensorFlow, PyTorch, or Scikit-learn.
- Preferred: knowledge of information retrieval, NLP, data structures, algorithms, graph theory, and optimization.
- Preferred: experience with AI workflow improvements, responsible AI practices, prompt/context engineering, and agent orchestration.
- Preferred: experience designing synthetic-data and evaluation pipelines, 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.