Developing signals (e.g. embeddings, clustering) from LLMS and other sources that be be leveraged across multiple defenses
Effectively leveraging LLM technology to solve Airbnb business problems
Utilizing Deep Learning techniques for advanced feature engineering and model building, e.g., how to model for user behavior sequences,
Devising optimization models to make optimal business decisions while minimizing risk
Integrating causal modeling with ML models in order to improve performance of model-derived interventions.
Your Expertise:
PhD degree in a quantitative field, e.g. Computer Science, Operations Research, Mathematics, Physics
Proven ability to design analytical solutions to complex problems with real world applications
2+ years of experience of working or doing research in one or more ML / AI domains, e.g. LLMs, computer visions, recommendation systems etc. Open to recent PHD grad.
Strong programming (Python / Scala / Java / C++ or equivalent) skills
Experience with OSS ML technologies such as PyTorch, TensorFlow, Spark, Airflow
Versatility to communicate clearly with both technical and non-technical audiences.
Publications or presentations in recognized Machine Learning and Data Mining journals/conferences is a plus.