Airbnb Senior Data Scientist – Listing Understanding 

United States 

945430866

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