Machine Learning Engineer, Validation

FLYR

Los Angeles, CA, US
  • Job Type: Full-Time
  • Function: Data Science
  • Industry: Technology
  • Post Date: 10/12/2021
  • Email: lana@flyrlabs.com
  • Website: flyrlabs.com
  • Company Address: 22 Rausch St Suite 2, San Francisco, CA

About FLYR

FLYR's FusionRM platform helps some of the world's largest airlines produce a more intelligent way of forecasting price elasticity and demand for seats, ancillary products, and bundled offers. The end result? Continuously optimized, real-time pricing power.

Job Description

We are on a path to become the single largest provider of commercial intelligence and automation across the travel and transportation industry.
 
Starting with airlines, we provide the Cirrus Revenue Operating System™ that reshapes how travel and transportations businesses plan their commercial operation. We displace legacy data, forecasting, pricing, and reporting solutions with a single enterprise SaaS platform that leverages the latest advancements in deep learning, cloud computing, and user experience.
 
Our hyper-accurate contextual forecasts enable the most effective scheduling, marketing, and leadership decisions while directly managing the pricing for billions of dollars worth of product and revenue.
 
We are looking for an experienced Machine Learning Engineer to join our Machine Learning Performance team composed of everyone from deep-learning to econometrics experts. This position can be based at our Los Angeles Office, San Francisco office or remotely elsewhere in the United States. 
 
You are a highly curious, detail-oriented, independent data and analytics expert with the engineering skills and expertise to integrate Machine Learning models and data pipelines into production. You thrive on building data solutions and analytics tools, drawing actionable conclusions and digging deeper to uncover trends that will improve our machine learning systems. You are a highly competent communicator towards both technical and non-technical audiences. If you’re happiest learning new, challenging domains, then FLYR has what you are looking for. 
 
You will be joining a dedicated team of Data Scientists, Data Analysts and Data Engineers responsible for the development of ML and Deep Learning models and novel performance metrics, and the creation of data models and pipelines that fuel that effort. The primary objective of the team is producing innovative revenue metrics that distinguish great models from merely good ones. In addition, you will be creating new analytics tools to automate reporting and validation of results that will allow FLYR to decide where we should invest more time and attention in our algorithms.

What can you bring on this trip?

    • 5+ years of relevant experience in a Data Science or ML Engineering role Strong quantitative background (Computer Science, Engineering, Math, Economics, or other related fields) 
    • Experienced using Python and tools such as Apache Beam and Spark to build distributed data pipelines for training and evaluating ML models on cloud platforms 
    • Advanced in data manipulation (SQL, Pandas, Spark) and experienced with various ML tools in production (scikit-learn, TensorFlow, Keras, Kubeflow, XGBoost) 
    • Strong communicator and have experience collaborating across multiple teams and external partners 
    • Knowledge of airline industry and airline revenue management a plus 
About FLYR’s product
Cirrus™, our Revenue Operating System, is deployed by major commercial airlines both internationally and domestically. Cirrus leverages an extensive data- and deep learning infrastructure that was built from the ground up to solve airlines’ most complex commercial challenges.
 
Founder Alex Mans started FLYR in 2013, initially with the intent to remove inefficiencies in airline pricing for travelers. Since then, we've shifted focus to address the forecasting and pricing problems at the core of major airlines, and we have built a team with a wide range of experiences in enterprise technology, aviation, and entrepreneurship. We are a dynamic and fast-growing travel tech start-up headquartered in the SoMa neighborhood in San Francisco with a European development hub in Krakow, Poland.
 
Impact of COVID-19
While the effects of COVID-19 on commercial aviation (our primary client base) have been widely publicized, demand from airlines around the globe has exceeded all expectations. On the back of incredible outperformance compared to legacy incumbents in our space, we are on track for an exceptionally strong 2021 and beyond. While the road to travel recovery isn’t easy, you won't find any other industry as dedicated to continuous improvement and reinvention.
 
Our Commitment to Fairness
At FLYR, we are proud to be an equal opportunity workplace and embrace a commitment to have our teams better reflect the world around us as we scale the business.

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