Software Engineer (leadership) - Machine Learning

Meta Meta · Big Tech · Zurich, Switzerland +2 · Remote

Seeking a principal engineer to lead teams in building cutting-edge products, manage complex technical problems, and drive technical strategy and roadmap for large cross-company efforts. The role involves integrating AI tools to optimize workflows, implementing responsible AI practices, and staying current with emerging AI technologies.

What you'd actually do

  1. Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient
  2. Effectively communicate complex features and systems in detail
  3. Understand industry & company-wide trends to help assess & develop new technologies
  4. Partner & collaborate with organization leaders to help improve the level of performance of the team & organization
  5. Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas

Skills

Required

  • Planning multi-year roadmaps
  • Utilizing data and analysis to explain technical problems
  • Driving large cross-functional/industry-wide engineering efforts
  • Mentoring/influencing experienced engineers
  • Communicating and working across functions
  • Programming experience in a relevant language
  • Experience with Hadoop/HBase/Pig or MapReduce/Sawzall/Bigtable/Hive/Spark
  • Shipping products to millions of customers or starting a new line of product
  • Integrating AI tools to optimize/redesign workflows
  • Implementing responsible, ethical AI practices
  • Ongoing AI skill development (e.g., prompt/context engineering, agent orchestration)
  • Staying current with emerging AI technologies

Nice to have

  • prompt/context engineering
  • agent orchestration

What the JD emphasized

  • Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission
  • 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

Other signals

  • 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