Meta is seeking talented 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.
Software Engineer, Machine Learning 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
Requirements: Minimum Qualifications
Programming experience in a relevant language
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Demonstrated experience driving change within an organization and leading complex technical projects
Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
Preferred Qualifications
Masters degree or PhD in Computer Science or a related technical field
Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
Understanding of information retrieval concepts, such as indexing, querying, and ranking
Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques
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