4 months ago
Base Salary
$200k - $235k/yr
Responsibilities
- Work with large scale structured and unstructured data to build and improve machine learning models.
- Develop query understanding capabilities such as autocomplete, query tagging, and intent modeling.
- Collaborate with cross-functional partners to identify business impact opportunities and refine model requirements.
- Hands-on develop, productionize, and operate machine learning models and pipelines at scale.
- Leverage machine learning tools and infrastructure for fast model development and low-latency serving.
- Engage in projects like smart compose, LLM-based sequence taggers, and intent classification.
Requirements
- 5+ years of industry experience in applied machine learning with an MS or PhD in relevant fields.
- Strong programming skills in Scala, Python, Java, C++, or equivalent.
- Deep understanding of machine learning best practices and algorithms.
- Experience with technologies like Tensorflow, PyTorch, Kubernetes, and Spark.
- Industry experience building end-to-end machine learning models.
- Familiarity with large language models and modern NLP techniques.
Benefits
- Remote eligible position with occasional office work or offsite attendance.
- Base pay range of $200,000—$235,000 USD, subject to change.
- Potential eligibility for bonus, equity, benefits, and Employee Travel Credits.
Tech Stack
Categories
Data Science
About Airbnb
Airbnb operates a global online marketplace that connects hosts offering homes, rooms, and unique properties with travelers seeking short-term stays and experiences. The company earns revenue primarily through service fees on bookings; founded in 2007 and headquartered in San Francisco, it is a public company on NASDAQ (ABNB) with over 5 million hosts and guest arrivals recorded in nearly every country.