Machine Learning Engineer — Safety & Integrity

Meta; City of Westminster; On-site; GBP 120,000 - 160,000; Full time

Job summary

Meta is seeking talented engineers to join our Central Integrity team, building scalable AI systems that help keep billions of people safe on Meta's platforms.

You will collaborate with product, design, and operations, implement advanced NLP and machine learning techniques, and lead initiatives to reduce risk while maintaining user trust.

The role offers a highly technical, impact-driven environment with opportunities to mentor peers and advance responsible AI practices at scale.

Qualifications

• Experience with large-scale AI systems and responsible AI practices.
• Strong foundation in algorithms, data structures, and optimization.
• Experience driving complex technical projects and change within an organization.
• Proficiency in multiple programming languages.

Responsibilities

• Collaborate with product, design, and operations to build innovative experiences.
• Implement and optimize ML models and user interfaces.
• Lead major initiatives and provide technical guidance to peers.
• Architect scalable systems for complex applications.
• Identify performance and scalability issues and reduce technical debt.
• Explain technical problems using data and provide solutions.

Skills

Collaboration across teams

Code quality optimization

Mentorship

Leadership of initiatives

System architecture

Performance optimization

Data-driven problem solving

End-to-end ownership

Effective debugging

Strong programming fundamentals

Education

Bachelor's degree in Computer Science or related field

Masters degree or PhD in Computer Science or related field

Tools

TensorFlow

PyTorch

Scikit-learn

NLP frameworks

Job description

Meta is seeking talented engineers to join our Central Integrity team, building scalable AI systems that help keep billions of people safe on Meta's platforms.

You will collaborate with product, design, and operations, implement advanced NLP and machine learning techniques, and lead initiatives to reduce risk while maintaining user trust.

The role offers a highly technical, impact-driven environment with opportunities to mentor peers and advance responsible AI practices at scale.