Machine Learning Engineer

Atlas Navigation

United States

United States

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Über

Company Description Atlas is a travel technology company that helps users optimize their airport experience with real-time TSA wait time predictions. Powered by live airport sensor data and crowdsourced traveler reports, the app provides insights tailored to specific checkpoints and lane types. Serving over 100 U.S. airports, Atlas is dedicated to making travel stress-free and efficient. Founded in Austin, TX, the company brings innovation to travelers nationwide. Role Description This is a part-time, remote opportunity for a Machine Learning Engineer. The Engineer will be responsible for developing, testing, and implementing machine learning models focused on TSA wait time predictions. Daily tasks will include designing algorithms, analyzing data sets, and enhancing pattern recognition systems. Collaboration with cross-functional teams and ensuring scalability and accuracy of machine learning systems are key components of the role. Qualifications Experience in Pattern Recognition and Neural Networks Strong foundation in Computer Science principles and Algorithms Proficiency in Statistics and related data analysis techniques Ability to implement scalable and efficient machine learning models Experience with cloud technologies and deployment of ML models is a plus Problem-solving skills and ability to work independently Bachelor's or Master's degree in Computer Science, Data Science, or a related field

United States

Sprachkenntnisse

English

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