- 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
- 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.
- Experience in Reinforcement Learning, Geometric Deep Learning, or Representation Learning
- Experience with time-series data and forecasting.
- Exposure to pricing algorithms and revenue management.
- Equity in Series C startup with high growth potential
- Comprehensive healthcare plans (Choice of PPO & HMO available)
- Generous PTO policy and flexible working arrangements
- 401K with company match
- Free breakfast/Lunch (in-office)
- 100% paid Parental Leave for 12 weeks
- Annual educational fund
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Principal Applied Scientist - San Francisco, United States - FLYR Inc.
Description
Our VisionFLYR is focused on the relentless application of advanced and intuitive technologies that help transportation leaders unlock their ultimate potential.
FLYR is a technology company that is purpose-built for the travel industry. Leveraging deep learning, an advanced form of AI, FLYR is helping airlines, cargo, and hospitality businesses around the globe elevate their results. With FLYR, businesses are able to improve revenue performance and modernize the e-commerce experience through accurate forecasting, automation, and analytics.
Flight Itinerary (About The Role)
FLYR is on a mission to build the modern AI-enabled operating system for airlines. An important part of this mission is to develop a context-aware and data-driven revenue optimization system.
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.
We are a customer-centric and product-focused data science organization. We value ownership, technical excellence, bias towards action and delivering results to our customers. We are looking for highly passionate and capable teammates who are force multipliers.
This position is located in the U.S. and the ideal candidate will be able to join us in our San Francisco office.
Come onboard and lead FLYR to new heights with us
What Your Journey Will Look Like (Responsibilities)
$192,000-$269,000 USD
Our Commitment to Equality
Here at FLYR, we're committed to growing with intention, having our teams better reflect the world around us. We strive to create an environment of inclusion and even more importantly, belonging, where psychological safety, empathy, and human connection are at the center of our leadership principles. Not only does this enable us to create better products and have a better work environment, it's good for the bottom line and it's the right thing to do.
FLYR provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, gender identity, sex, sexual orientation, national origin, age, physical or mental disability, genetics, marital or veteran status. In addition to federal law requirements, FLYR complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company operates.
Privacy Policy
All applicants, including those based in California or the EU, are encouraged to review our Privacy and Cookie Policy.
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