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Staff Software Engineer – ML Infrastructure 299 views

Airbnb was born in 2007 when two Hosts welcomed three guests to their San Francisco home, and has since grown to over 4 million Hosts who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Every day, Hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way.

The Community You Will Join

At Airbnb, their mission is to create a world where anyone can belong anywhere. They use Machine Learning extensively to create a more connected, empowered, and safer global community and enable an intelligent & worry-free travel experience.

The Difference You Will Make

You’ll help us build Airbnb’s end-to-end ML Platform – a scalable shared platform that accelerates the pace of Machine Learning design & development and the deployment of impactful, high-quality ML use cases company-wide.

A Typical Day

You’ll have the opportunity to work on a wide variety of projects that support the ML lifecycle from ideation to production, including:

  • Build scalable distributed training systems to power groundbreaking models, leveraging the latest algorithms, techniques and hardware available
  • Create robust and scalable real-time ML inference systems meeting demanding requirements for low-latency, efficiency, and workflow flexibility
  • Build ergonomic ML Workflows & Experimentation tracking tools to accelerate development / iteration productivity for ~200 ML Engineers & Data Scientists.
  • Ensure real-time detection of problems afflicting ML models via ML Observability tools
  • Build on top of OSS ML Platform technologies such as Kubeflow, ML Flow, and Tensorflow Serving
  • Work side by side with customer teams including Search Relevance, Trust & Safety, Customer Support to create a better product experience for Airbnb users.

Your Expertise

  • 8+ years of industry experience (and/or relevant academic experience)
  • Strong coding skills in Python/Java or equivalent
  • Solid understanding of engineering and infrastructure best practices
  • Experience developing and productionizing machine learning models is a plus
  • Experience with Docker, Kubernetes, Spark is a plus
  • Industry experience building end-to-end Machine Learning Platforms a big plus

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Here at the Open Data Science Conference we gather the attendees, presenters, and companies that are working on shaping the present and future of AI and data science. ODSC hosts one of the largest gatherings of professional data scientists with major conferences in the USA, Europe, and Asia.

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