Software Engineer (Leadership)

Meta

$130K — $180K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or relevant technical field
  • Experience in cross-functional collaboration for solution driving
  • Proven capability in managing large, cross-industry engineering projects
  • Demonstrated success in planning multi-year roadmaps with aligned shorter-term projects
  • Leadership experience in projects with broad impact across the industry
  • Specialized knowledge in ML systems areas including AI infrastructure and deep learning
  • Proficient in developing AI algorithms or infrastructure using C/C++ or Python

Responsibilities

  • Drive machine learning techniques to enhance Meta's intelligent systems
  • Communicate complex systems and advocate for product quality
  • Assist in setting project impact and AI system design goals
  • Develop unique architectures and benchmarks for evaluating methods
  • Apply knowledge of machine learning systems and their interactions
  • Stay updated on technology trends affecting ML systems roadmap
  • Guide technical direction to improve organizational efficiency

Benefits

  • Work on cutting-edge technology that shapes future digital experiences
  • Opportunity to collaborate with talented professionals across various fields
  • Develop and implement solutions with wide-reaching impact
  • Access to varied career growth opportunities within a large organization
  • Contribute to a mission that enhances social connectivity and immersive experiences
Full Job Description
Meta is seeking an AI Research Specialist to join our teams. The ideal candidate will have industry experience working on AI related topics. The position will involve taking these skills and applying them to solve for some of the most crucial and exciting problems that exist on the web. We are hiring in multiple locations.

Responsibilities

Drive the organization's goal towards relevant machine learning techniques to build & optimize our intelligent systems that improve Meta's products and experiences
• Effectively communicate complex features and systems in detail while advocating for higher product quality and engineering efficiency
• Assist in goal setting related to project impact, AI system design, and ML capabilities
• Develop custom/novel architectures, define use cases, and develop methodology & benchmarks to evaluate different approaches
• Apply in depth knowledge of how the machine learning system interacts with the other systems around it
• Understand industry and Meta wide technology trends in computing technology to help assess & develop new technologies within the ML Systems roadmap
• Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
• Partner & collaborate with organizational leaders to help improve the level of performance of the team & organization

Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Vast experience communicating and working across functions to drive solutions
• Experience in driving large cross-functional/industry-wide engineering efforts
• Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term-vision
• Experience leading projects with industry-wide impact
• Specialized experience in one or more of the following machine learning/deep learning domains: ML systems: AI infrastructure, machine learning accelerators, high performance computing, machine learning compilers, GPU architecture, machine learning frameworks, on-device optimization
• Experience developing AI algorithms or AI-System infrastructure in C/C++ or Python

Preferred Qualifications
• Experience with distributed systems or on-device algorithm development

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.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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