
Staff Data Scientist, Listing Understanding
Airbnb
full-time
Posted on:
Location Type: Remote
Location: United States
Visit company websiteExplore more
Salary
💰 $194,000 - $240,000 per year
Job Level
About the role
- 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 SoT 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 our work through experimentation and causal analysis.
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 related field.
- Strong in XFN communication with partners in product, engineering, and design
- Expert in at least one programming language for data analysis (Python or R) with familiarity in SQL. Comfort with developing proof-of-concept prototypes. Passionate about AI and possessing a learner’s mindset towards LLMs and dynamic systems.
- Deep understanding of Machine Learning best practices (eg. training/serving skew minimization, A/B test, feature engineering, feature/model selection) and algorithms (eg. gradient boosted trees, neural networks/deep learning, optimization)
- Experience with technologies such as: Tensorflow, PyTorch, Kubernetes, Airflow (or equivalent), Kafka (or equivalent)
- Proven ability to succeed in both collaborative and independent work environments
- Demonstrated willingness and track record of engagement with the technical community.
Benefits
- Employee Travel Credits
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Machine LearningComputer VisionCausal InferenceData AnalysisFeature EngineeringGradient Boosted TreesNeural NetworksDeep LearningOptimizationA/B Testing
Soft skills
XFN CommunicationCollaborationIndependent WorkEngagement with Technical CommunityLearner's Mindset
Certifications
PhD in Computer SciencePhD in StatisticsPhD in Econometrics