Meta

Software Engineer (Machine Learning, Technical Leadership) - Meta Business Agent

Meta Menlo Park, California, United States · $271K–$347K/yr

Software Development · 10,001+ employees

3 d ago
machine-learning Principal (10+ yrs) Full-time United States
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About the role

Set technical direction and long-term roadmaps for large cross-company engineering efforts, while identifying opportunities and aligning priorities with organizational leaders. Resolve performance, scalability, and technical debt issues, and communicate complex systems and solutions across functions.

What they look for

Technical Leadership Programming Machine Learning Information Retrieval Indexing Querying Ranking Natural Language Processing Text Preprocessing Tokenization Sentiment Analysis Data Structures Algorithms Graph Theory Optimization TensorFlow

Requirements

Requires a bachelor's degree or equivalent practical experience and at least 12 years of relevant programming experience, or at least 8 years with a PhD. Candidates should have experience influencing executive stakeholders, using data to solve technical problems, planning multi-year roadmaps, and leading large cross-functional engineering efforts.

Benefits

Bonus Equity Benefits

Full description

Meta is seeking experienced engineers to join Meta Business Agents, the org building AI agents and messaging platforms that connect businesses with the people who want to hear from them. Every day, millions of businesses reach customers through WhatsApp, Messenger and Instagram Direct, and we build the systems that make those conversations work at that scale, from the messaging infrastructure itself to state-of-the-art AI business agents that can handle a sale, book an appointment or resolve a support question end to end. Our work spans scaled messaging infrastructure, data and agentic platforms, and products serving everyone from a single-person business to a global enterprise. We are defining what agentic commerce looks like, which means the engineering problems are genuinely unsolved. If you want to build AI systems that real businesses depend on from day one, this is the right team for you.

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 and company-wide trends to help assess and develop new technologies
  • Partner & collaborate with organization leaders to help improve the level of performance of the team and organization
  • Identify new opportunities for the larger organization and influence the appropriate people for staffing and prioritizing these new ideas
  • Lead long term technical vision 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

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

Preferred Qualifications

  • Masters degree or PhD in Computer Science or a related technical field
  • Understanding of information retrieval concepts, such as indexing, querying, and ranking
  • Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
  • Demonstrated experience with data structures and algorithms, including graph theory and optimization techniques
  • Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn

$271,000/year to $347,000/year + bonus + equity + benefits

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