Staff Applied Scientist, FLYR

• PhD in artificial intelligence, machine learning, computer science, or another related field, or MS and equivalent research experience
• 7+ years of experience building enterprise-grade deep learning applications
• Fluency in Python
• Fluency in at least one deep learning framework such as Tensorflow, Pytorch, or JAX
• Demonstrated ownership, bias for action and detail orientation through past experience
• Strong communication skills with both technical and non-technical audiences
• Ability to read AI research publications and implement the algorithms & architectures from scratch
• Experience working with cloud technologies like BigQuery, Google Cloud Storage, and Vertex AI
• Demonstrated ability to distill complex technical requirements into actionable work streams
• Strong analysis skills and willingness to dive deep into data to identify root causes and drivers
• Demonstrated ability to develop a solid understanding of the business domain and its relation to model/system performance
• Demonstrated ability to provide technical guidance to junior engineers and scientists
• We are looking for highly passionate and capable teammates who are force multipliers

Desirable

• In this role, you will work on deep learning pricing and forecasting models to improve the performance of FLYR’s revenue management product
• Airline revenue management is a complex field with many legacy applications and is in much need of disruption
• Successful outcomes will make a significant contribution to the state-of-the-art and empower airlines around the world to better compete
• Work with product and data science management to develop key results for given product objectives
• Lead technical efforts to improve the performance of deployed models and propose initiatives to shape the long-term scientific vision
• Apply state-of-the-art deep learning techniques to pricing and forecasting problems
• Own and actively contribute to the design and development of internal deep learning, pricing, forecasting, and optimization libraries
• Establish scalable and efficient practices for data mining, ML model development, validation and inference
• Stay up-to-date on the most recent advances in AI and machine learning