Airbnb

Airbnb is a community based on connection and belonging.

Senior Staff Machine Learning Engineer, Relevance and Personalization

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 5,001-10,000Since 2007H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

12 days ago

Salary

$252K - $315K / year

Postgraduate Degree12 yrs expEnglishAirflowJavaKafkaKubernetesPythonPy TorchScalaSparkTensorflow

Job Description

• Join Airbnb’s Relevance and Personalization team, where you’ll have a unique opportunity to shape the discovery experience for over 150M global users! • Take the lead on projects that power search and recommendations across the entire Airbnb platform. • Design and deploy state-of-the-art ranking algorithms, deploying robust systems that optimize Airbnb’s most important business goals. • Our team pushes the boundaries of AI and machine learning throughout the search ranking stack, from data pipelines to feature engineering, model innovation, real-time serving, and large-scale experimentation. • Work collaboratively with cross-functional partners including software engineers, product managers, operations and data scientists.

Job Requirements

  • 12+ years of industry experience in applied ML/AI, inclusive MS or PhD in relevant fields.
  • Strong programming (Scala / Python / Java / C++ or equivalent) and data engineering skills.
  • Deep understanding of ML/AI best practices (e.g. training/serving skew minimization, A/B test, feature engineering, feature/model selection), algorithms (e.g. neural networks/deep learning, optimization) and domains (e.g. natural language processing, computer vision, personalization, search and recommendation, marketplace optimization, anomaly detection).
  • Experience with 3 or more of these technologies: Tensorflow, PyTorch, Kubernetes, Spark, Airflow (or equivalent), Kafka (or equivalent), data warehouse (e.g. Hive).
  • Industry experience building end-to-end ML/AI infrastructure and/or building and productionizing ML models.
  • Exposure to architectural patterns of a large, high-scale software applications (e.g., well-designed APIs, high volume data pipelines, efficient algorithms, models).
  • Experience with test driven development, familiar with A/B testing, incremental delivery and deployment.

Benefits

  • This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

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