Senior Data Scientist, Computer Vision

Airbnb

  • USA
  • Permanent
  • Full-time
  • 28 days ago
The Community You Will Join:Travel is rewarding, but sometimes things don't go as expected. AirCover aims to provide a peace of mind for your whole trip from booking until you're back home. As a Data Scientist working on AirCover, you will have the opportunity to collaborate with a strong team of engineers, product managers, designers and operation specialists to build scalable and robust systems to detect, mediate, and solve issues across a wide spectrum.The Difference You Will Make:For this role, we're seeking a Computer Vision expert to join the AirCover Data Science team, and 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 document understanding techniques to gauge the quality, relevance and authenticity of evidence submitted for issues during trip
  • Incorporate multimodal signals to develop proactive, agile, and explainable fraud detection systems through embedding and deep learning
  • Determine fair value of the payment across image, receipt, and segmentation
  • Automate low complexity workflow with Agentic AI approach, and augment high complexity human decision with intelligent signals from above
  • Optimize presentation of AirCover products through designing thoughtful personalization
A Typical Day:
  • Identify high-impact business opportunities through data exploration 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 on paved path, including both batch and real-time use cases, structured and unstructured data
  • 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
Your Location:This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from.Our Commitment To Inclusion & Belonging:Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: . Please include your full name, the role you're applying for and the accommodation necessary to assist you with the recruiting process.We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

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