ML Engineering Lead - Communication & Connectivity

Airbnb

United States

On-site

USD 248,000 - 310,000

Full time

14 days+

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Job summary

Airbnb is seeking a senior leader for the Machine Learning, Data and AI applications within the Guest & Host organization. You will drive multi-year AI roadmaps, partner with Product, Design and Data Science to move high-impact ML initiatives from concept to production, and shape data pipelines that power business and AI needs.

You will mentor a team of ML/Data engineers and engineers across ML, Data Engineering and Software Engineering, raising the technical bar while collaborating across

Qualifications

  • 12+ years of engineering experience with 5+ years leading a team.
  • BS/MS/PhD in Computer Science or related field.
  • Experience building, leading, and architecting full-stack products at enterprise scale.
  • Experience applying modern AI technologies to products and development cycles.
  • Technical leadership: leading project teams and setting technical direction.
  • Strong communication and collaboration across teams.

Responsibilities

  • Drive alignment on AI priorities and set the multi-year technical roadmap.
  • Partner with Product, Design, and Data Science to take ML initiatives from concept to production.
  • Ensure high-quality data pipelines that support business and AI needs.
  • Grow and mentor a team of ML/Data engineers, raising the technical bar across the org.

Skills

Technical leadership
Cross-functional collaboration
Mentoring
Strategic thinking

Education

CS degree (BS/MS/PhD)

Job description

Airbnb is seeking a senior leader for the Machine Learning, Data and AI applications within the Guest & Host organization. You will drive multi-year AI roadmaps, partner with Product, Design and Data Science to move high-impact ML initiatives from concept to production, and shape data pipelines that power business and AI needs.

You will mentor a team of ML/Data engineers and engineers across ML, Data Engineering and Software Engineering, raising the technical bar while collaborating across

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