Description

FlightAware has built the world’s leading aviation software platform, processing over 180 million incoming messages an hour from over 30,000 feeds—over 150 gigabytes a day and growing—to provide the best, most complete, and most accurate real-time flight tracking services in the industry. We are proud to have built a wide variety of successful products on this foundation that have become central to the aviation industry at large.

Regardless of role, we expect excellent interpersonal and communication skills across all hires at FlightAware. We look for candidates who will thrive here, meaning they demonstrate clear communication, embrace open feedback, trust their colleagues, and are driven to execute, deliver, and complete projects independently and efficiently.

FlightAware's Predict crew builds state-of-the-art machine learning systems that leverage years of historical data and hundreds of millions of examples in order to build models for computing runway landing times, gate arrival times, and more. The results of these models power the FlightAware Foresight product suite, which streams live predictive aviation data to major customers in industry.

As Machine Learning engineer on our Predict crew, you will be building our next generation of Machine Learning models that will become new Foresight products, improving our existing models, and through this work, improving the operational efficiency of the world’s largest airlines and airports.

This is a full-time role. Our team is headquartered in Houston, Texas, but we work as a distributed team and accept remote applicants.

Requirements

• At least six years of Machine Learning experience (including education)
• Strong knowledge of Python.
• Experience with tree ensemble models: LightGBM, XGBoost, CatBoost, etc.
• Experience with deep learning models: Tensorflow/Keras or PyTorch
• Preferred: Experience with Docker, Kubernetes, AWS, and GPU acceleration.

Nice to have: You are a private pilot or are you looking to pursue your private pilot license.

Responsibilities

You will:

• Build new predictive models and bring them all the way to production.
• Provide ideas on how to improve existing products, and build ML models to compare to existing ones.
• Participate in our internal research lab, pushing the envelope of what’s possible in the aviation ML space.
• Develop you general software engineering skills in an environment that encourage development
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Work Location

• Remote (work from home)
• Applicants must live in the United States
• Must have current work authorization for any employer in the US and not require sponsorship now or in the future

Education

• A master’s, or doctoral degree in statistics, mathematics, computer science, software engineering, or equivalent experience.

Compensation

• Salary varies based on experience and background
• Matching 401(k)
• Company-paid employee medical, dental and basic life/AD&D insurance