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AirbnbAirbnb

Senior Manager, Machine Learning Engineering

Senior Manager leading ML, Data, and AI initiatives for Airbnb's Communication & Connectivity products. Responsibilities include setting multi-year AI roadmaps, partnering cross-functionally to ship ML solutions, owning metrics tied to business outcomes, and mentoring teams of ML and data engineers.

About the job

Responsibilities

  • Drive alignment across engineering, product, and leadership on AI investment priorities and set the multi-year technical roadmap.
  • Partner with Product, Design, and Data Science to take high-impact ML initiatives from concept to production.
  • Ensure high-quality, efficient data pipelines that support both business and AI needs.
  • Define and own success metrics that tie ML work directly to business outcomes.
  • Grow and mentor a team of ML/Data engineers, raising the technical bar across the org.
  • Lead and mentor a senior team of Managers and Engineers across Machine Learning, Data Engineering and Software Engineering.
  • Partner with senior leadership across Engineering, Data Science, Product, and Business to align stakeholders, define multi-year roadmaps, set and execute on iterative milestones.
  • Coach and develop team members, helping them grow their careers, technical expertise, and collaboration skills.

Requirements

  • 12+ years of overall engineering experience with 5+ years managing a team in a fast paced, high growth tech environment.
  • BS, MS or PhD in Computer Science or related field.
  • Experience building, leading, and architecting full-stack products and systems at enterprise scale with a great impact.
  • Experience in applying modern artificial intelligence technologies to products and development cycles.
  • Technical leadership: hands on experience leading project teams, setting technical direction and strategy, and working cross functionally with Product and Data Science teams.
  • Strong communication and collaboration skills. Examples of working across teams and organizations on technical initiatives.

Compensation

  • Base pay range: $248,000 - $310,000 USD.
  • This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Skills

Machine Learning, Data Engineering, Artificial Intelligence, Data Pipelines, Python, AWS, Kubernetes, TensorFlow, PyTorch, SQL, Leadership, Mentoring

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