Software Engineer, Machine Learning

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 which exists to keep billions of people safe on Meta's platforms. We design and deploy systems that detect and disrupt harm at an unprecedented global scale, making this one of the largest deployments of AI for positive real-world impact anywhere in the industry. Our work safeguards critical areas including child and youth safety, fraud and scams, identity and authenticity and more while actively building defenses against novel frontier threats, such as autonomous AI agents and automated risk vectors. This represents some of the most technically demanding and high-stakes engineering and product at Meta, driven by a deeply mission-focused team. You'll combine strong engineering fundamentals with cutting-edge AI to build effective, adaptable solutions that stay ahead of evolving integrity and safety risks. If you are driven by hard technical challenges and want your work to deliver immediate, real-world impact, this is where you belong.

Required Skills:

Software Engineer, Machine Learning Responsibilities:

1. 1. Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
2. 2. Implement custom user interfaces using latest programming techniques and technologies
3. 3. Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
4. 4. Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
5. 5. Architect efficient and scalable systems that drive complex applications
6. 6. Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
7. 7. Work on a variety of coding languages and technologies
8. 8. Establish ownership of components, features, or systems with expert end-to-end understanding
9. 9. Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
10. 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
11. 11. Demonstrated experience driving change within an organization and leading complex technical projects
12. 12. Programming experience in a relevant language
13. 13. Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
14. 14. Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
15. 15. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
16. 16. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
17. 17. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
18. 18. Masters degree or PhD in Computer Science or a related technical field
19. 19. Understanding of information retrieval concepts, such as indexing, querying, and ranking
20. 20. Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques