Senior ML Software Engineer, Applied AI & Frontier Models

Meta; Greater London; On-site; GBP 120,000 - 160,000; Full time

Job summary

Meta is seeking exceptional engineers to advance personal superintelligence for everyone. As an engineer in the Applied AI Engineering (AAI) org, you will apply deep domain expertise to build frontier LLM systems, agentic pipelines, and robust evaluations that generate high-quality training signals.

You will collaborate with cross-functional teams, implement innovative interfaces, and optimize code for performance while mentoring peers and leading major initiatives in a fast, AI-native

Qualifications

• 8+ years of programming experience in a relevant language or 4+ years with a PhD.
• Experience driving change within an organization and leading complex technical projects.
• Bachelor's degree in Computer Science, Computer Engineering, or related technical field.

Responsibilities

• Collaborate with cross-functional teams to build innovative application experiences.
• Implement custom user interfaces using latest programming techniques and technologies.
• Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews.
• Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members.
• Architect efficient and scalable systems that drive complex applications.
• Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt.
• Work on a variety of coding languages and technologies.
• Establish ownership of components, features, or systems with expert end-to-end understanding.

Skills

Programming experience

Leadership

AI fluency

Problem solving

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Scikit-learn

Job description

Meta is seeking exceptional engineers to advance personal superintelligence for everyone. As an engineer in the Applied AI Engineering (AAI) org, you will apply deep domain expertise to build frontier LLM systems, agentic pipelines, and robust evaluations that generate high-quality training signals.

You will collaborate with cross-functional teams, implement innovative interfaces, and optimize code for performance while mentoring peers and leading major initiatives in a fast, AI-native