Software Engineer (Leadership) - Machine Learning
Indexed description
Software Engineer (Leadership) - Machine Learning 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 strategy 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
- Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission
- Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
- Experience driving large cross-functional/industry-wide engineering efforts
- Experience mentoring/influencing experienced engineers across organizations
- Experience communicating and working across functions to drive solutions
- Programming experience in a relevant language
- B.S. Computer Science or related technical field
- Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark
- Experience in shipping products to millions of customers or have started a new line of product
- 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
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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