Senior Software Engineer, ML Infrastructure

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Airbnb

πŸ’΅ $191k-$225k
πŸ“Remote - United States

Summary

Join Airbnb and help build a suite of tools forming the foundation for ML & AI development. Contribute to a scalable platform accelerating ML design, development, and deployment of impactful ML use cases. Build scalable GenAI infrastructure supporting evolving needs using foundational language/vision models. Drive expansion of the ML platform to improve the productivity of 200+ ML engineers and data scientists. Create data foundations for data-driven product features by building scalable human & AI labeling infrastructure. Work with customer teams to deliver high-impact product wins. This US-remote eligible position requires 5+ years of experience and expertise in distributed systems, Python/Java coding, and ML platform building.

Requirements

  • 5+ years of industry experience (and/or relevant academic experience)
  • Solid understanding of engineering and infrastructure best practices
  • Strong coding skills in Python/Java or equivalent
  • Strong Experience and knowledge of distributed systems

Responsibilities

  • Build scalable GenAI infrastructure to support the fast evolving needs of Airbnb teams using foundational language / vision models to power next-gen product experiences
  • Drive expansions of our ML platform to improve the productivity of 200+ ML Engineers & Data Scientists who rely on us
  • Create solid data foundations to power the data-driven product features (e.g. Categories ) that are at the center of Airbnb’s product roadmap by creating scalable human & AI Labeling infrastructure
  • Use OSS technologies such as Ray, MLFlow, Tensorflow, PyTorch, LangChain, Airflow, Spark, Docker, Kubernetes, Jupyterhub, etc
  • Work side-by-side with customer teams including Customer Support, Search Relevance, Trust & Safety to deliver high-impact product wins

Preferred Qualifications

  • Industry experience building end-to-end Machine Learning Platforms
  • Experience developing and productionizing machine learning models
  • Experience with Kubernetes, Spark, Docker, Airflow

Benefits

  • Bonus
  • Equity
  • Benefits
  • Employee Travel Credits

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