Staff Data Scientist, Listing Understanding

Details

Listing Understanding Data Science develops a holistic understanding of listing attributes to enable better product experiences for guests and hosts. The team focuses on using Computer Vision (CV) to understand the rich information available in photos and incorporating photos in a multimodal approach to listing understanding. You will work cross-functionally with tech, product, and design organizations to develop and execute a roadmap for how photos are managed by hosts and enrich the guest experience.

Responsibilities

• Size business opportunities and develop the roadmap for investments in CV and multimodal listing understanding and integration into product experiences.
• Leverage photos and related structured and unstructured data to build and continuously improve listing understanding.
• Build causal models to understand how photos impact guest search and drive bookings and trip quality.
• Stay up to date with state-of-the-art models and prototype machine learning product features and iterate with engineering, product, and design.
• Develop and implement assessment frameworks for CV and multimodal modeling improvements to ensure that they are safe and effective.
• Measure the business value of work through experimentation and causal analysis (A/B testing, causal inference).

Requirements

• 9+ years of industry experience in applied Machine Learning, with experience in Computer Vision (preferably including CLIP and ViT). (6+ with PhD)
• Causal inference expertise, preferably with marketplace experience.
• Advanced degree in Computer Science, Statistics, Econometrics, or a related field.
• Expert in at least one programming language for data analysis (Python or R) with familiarity in SQL. Comfort with developing proof-of-concept prototypes.
• Deep understanding of Machine Learning best practices (training/serving skew minimization, A/B tests, feature engineering, feature/model selection) and algorithms (gradient boosted trees, neural networks/deep learning, optimization).
• Experience with technologies such as TensorFlow, PyTorch, Kubernetes, Airflow (or equivalent), Kafka (or equivalent).
• Strong cross-functional (XFN) communication with product, engineering, and design partners.
• Proven ability to succeed in both collaborative and independent work environments and demonstrated engagement with the technical community.
• Passionate about AI with a learner’s mindset towards LLMs and dynamic systems.

Location

• US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites. You must live in a state where Airbnb, Inc. has a registered entity (see Airbnb careers for excluded states).

Compensation

• Base pay range: $194,000—$240,000 USD. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits. Actual base pay depends on factors such as experience, skills, and market demands.

Inclusion & Accessibility

• Airbnb is committed to inclusion and belonging and encourages all qualified individuals to apply. Reasonable accommodation in the application and interview process is available; contact [email protected] if needed.