Meta is seeking principal 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 assess 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 leading 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 (Technical Leadership) Responsibilities:

Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
Effectively communicate complex features and systems in detail
Understand industry & company-wide trends to help assess & develop new technologies
Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas
Lead long term technical direction and roadmap for large cross-company efforts
Suggest, collect and synthesize requirements and create an effective feature roadmap
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt

Minimum Qualifications:

Experience mentoring/influencing engineers across organizations
Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
Experience communicating and working across functions to drive solutions
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
Experience driving large cross-functional/industry-wide engineering efforts
Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term goals
12+ years of programming experience in a relevant language OR 8+ years experience with a PhD

Preferred Qualifications:

Experience applying ML Models in a revenue (Ads or E-Commerce) or user facing product environment at scale (Matching or Demand Supply)
Experience with relevant algorithms such as Learning to Rank, Gradient Boosting Machines, Random Forests, Deep Learning and similar algorithms
Expertise in Recommender Systems, Ranking, Relevance, Personalization or adjacent fields of ML
Masters degree or PhD in Computer Science or a related technical field
Grasp of data structures and algorithms, including graph theory and optimization techniques
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

About Meta:

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.