About the job
Meta is seeking talented experienced engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
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
Qualifications
Minimum
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
8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
Preferred
Masters degree or PhD in Computer Science or a related technical field
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