Software Engineer, Machine Learning, Applied AI

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 help deliver on one of the most ambitious goals in technology: personal superintelligence for everyone. As an engineer in the Applied AI Engineering (AAI) organization, you will apply your deep domain expertise, engineering skills, and sound judgment to make our frontier LLMs best-in-class on real-world tasks. You will identify gaps in current model capabilities and build the complex systems, agentic pipelines, reinforcement learning environments, and evaluations that generate high-quality training signals. Working closely with Meta Superintelligence Labs, AAI contributes to advancing Meta's frontier models and AI products. We deliberately operate like an early-stage company: a flat, AI-native organization with light processes, wide scope, and fast decisions. We are looking for engineers with strong technical foundations and AI fluency who are energized by ambiguity and by advancing Meta's frontier AI capabilities.

Software Engineer, Machine Learning, Applied AI Responsibilities:

• Collaborate with cross-functional teams (product, design, operations, infrastructure) 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

Minimum Qualifications:

• 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
• Demonstrated experience driving change within an organization and leading complex technical projects
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions

Preferred Qualifications:

• Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
• Understanding of information retrieval concepts, such as indexing, querying, and ranking
• Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques
• Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ability to solve ambiguous problems, and propose process and technical improvements in a dynamic, fast moving organization
• Experience designing automated pipelines that generate synthetic training data or evaluation tasks
• Experience building verifiable environments and quality controls for AI training data, including test harnesses, automated graders, contamination detection and taxonomy coverage

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.