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Airbnb Senior Data Scientist – Listing Understanding 
United States 
945430866

27.06.2024

The Community You Will Join:

  • A team of dedicated data scientists working on exciting new technologies to extract and structure information from rich Airbnb listings
  • A platform team with expertise on Computer Vision and Multimodality, and focus on nascent CV/Multi-modality technologies and how they can be applied into the product to server hosts and guests

The Difference You Will Make:

  • For this role, we’re seeking a deep learning expert to join the Listing Understanding Data Science team. The position will have a direct opportunity to contribute, influence, and lead by designing scalable scientific solutions for problems such as:

    • Leverage large scale unstructured data using computer vision and multi-modality techniques
    • Identify unique salient traits for each listing that can be used for search and personalization
    • Reason about a listing across multiple modalities to make better stay recommendations

A Typical Day:

  • Identify high impact business opportunities through literature review and model prototype, translate business problem into scientific formulations
  • Work collaboratively with cross functional partners including software engineers, product managers, operations and research, to refine requirements for machine learning models, drive scientific decisions, and quantify impact
  • Hands-on develop, productionize, and operate machine learning models and pipelines at scale, including both batch and real-time use cases, structured and unstructured data
  • Build reusable, high-performing, scalable machine learning models with internal paved path tooling, incorporating third-party information and state-of-the-art innovations
  • Regularly present work internally at monthly meetings to technical, engineering and product stakeholders to iterate and generate excitement on roadmap progress
  • Publish externally and engage with the scientific community to advance Airbnb’s standing

Your Expertise:

  • 5+ years of relevant industry experience (e.g. ML scientist, tech lead, junior faculty) and a Master’s degree or PhD in relevant fields
  • Expertise in Deep Learning and its framework (PyTorch preferred) and Transformers architectures
  • Hands-on ‘builder’ experience with Compute Vision and Multimodality problems. Also a plus, proficiency with LLMs and/or related AI, NLP, including deep learning, information retrieval, or knowledge extraction.
  • Strong fluency in Python and SQL
  • Deep understanding of Machine Learning lifecycle best practices (eg. training/serving, feature engineering, feature/model selection, labeling, A/B test), algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization) and domains (eg. natural language processing, computer vision, personalization and recommendation)
  • Proven ability to communicate clearly and effectively to audiences of varying technical levels, observation causal inference skill is a plus
  • Proven mix of strong intellectual curiosity with high level of pragmatism and engagement with the technical community. Publications or presentations in recognized journals/conferences is a plus
  • Ability to take a product-oriented mindset in using conceptual and innovative thinking to develop and apply solutions taking into consideration the user experience

How We'll Take Care of You:

Pay Range
$213,500 USD