Senior Engineer - Machine Learning

United Airlines - Chicago, IL

Full-time - Mid Level

Chicago, IL

Air Transportation

About the position

There's never been a more exciting time to join United Airlines. We're on a path towards becoming the best airline in the history of aviation. Our shared purpose - Connecting People, Uniting the World - is about more than getting people from one place to another. It also means that as a global company that operates in hundreds of locations around the world with millions of customers and tens of thousands of employees, we have a unique responsibility to uplift and provide opportunities in the places where we work, live and fly, and we can only do that with a truly diverse and inclusive workforce. And we're growing - in the years ahead, we'll hire tens of thousands of people across every area of the airline. Our careers include a competitive benefits package aimed at keeping you happy, healthy and well-traveled. From employee-run "Business Resource Group" communities to world-class benefits like parental leave, 401k and privileges like space available travel, United is truly a one-of-a-kind place to work. Are you ready to travel the world? We believe that inclusion propels innovation and is the foundation of all that we do. United's Digital Technology team spans the globe and is made up of diverse individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.

Responsibilities

• Leverage Ad Tech environment to design and implement ML systems that improve advertising effectiveness and user engagement within the digital landscape.
• Design, build, and iterate on machine learning and deep learning systems, ensuring they align with our strategic goals.
• Conduct rigorous ML experiments and tests, synthesizing findings to inform development.
• Work closely with data scientists, analysts, and stakeholders across functions to capture and translate machine learning needs into robust solutions.
• Architect and refine data pipelines, ensuring efficient data flow and processing for optimal ML model performance.
• Commit to ongoing enhancement of ML models, incorporating retraining and monitoring, and stay abreast of emerging trends in machine learning, ad tech, and generative AI.
• Run machine learning tests and experiments, documenting findings and results.
• Collaborate with data scientists, analysts, and other stakeholders to understand machine learning needs and requirements.
• Construct optimized data pipelines to feed machine learning models.
• Continuously improve machine learning models, training, retraining, and monitoring systems and models as needed.
• Stay up to date with new technologies and best practices in machine learning.

Requirements

• Bachelor's degree in Computer Science, Engineering or a related field
• 2-5 years hands-on industry experience in ML Engineering (or equivalent quantitative job title)
• Deep technical knowledge of machine learning
• Ability to write code in Python, Java, and R
• Familiarity with machine learning frameworks and libraries (TensorFlow, Pytorch, Keras, Scikit-Learn, Spark MLib, Langchain etc.)
• Understanding of data structures, data modeling, and software architecture
• Strong collaborator with cross-functional teams from tech, design, and business and experience leading teams in an agile setting
• Ability to communicate and explain data and its implications to various stakeholders
• Ability to evaluate different options proactively and to tackle problems in an innovative way, developing new solutions or combining existing methods to build new approaches
• Must be legally authorized to work in the United States for any employer without sponsorship
• Successful completion of interview required to meet job qualification
• Reliable, punctual attendance is an essential function of the position.

Nice-to-haves

• Advanced Computer Engineering degree
• Experience with advertising technology (AdTech), particularly in designing solutions that enhance ad targeting, measurement, and optimization.
• Familiarity or hands-on experience with generative AI and large language models, understanding their potential impact on machine learning and ad tech innovations.

Benefits

• Parental leave
• 401k
• Space available travel privileges