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Software Engineer, Machine Learning Responsibilities:
- Collaborate with cross-functional teams (product, design, operations, infrastructure) to build creative 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 end-to-end understanding
- 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
- Masters degree or PhD in Computer Science or a related technical field
- Background in machine learning, especially applied to ranking, recommendation systems, or large-scale predictive modeling
- Experience in Reinforcement Learning, Causal Modeling or Sequence Modeling
- Experience in shipping new products or landing product iterations at scale
- Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques
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.
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