at United Airlines in Chicago, Illinois, United States
Job Description
Description
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
Job overview and responsibilities
Exciting opportunity to be a part of a brand-new best-in-class data science & analytics team to support the advertising and technology needs for the world’s best and largest airline. An entrepreneurial and meticulous data engineer who builds underlying supporting data for measurement and reporting across United’s digital platforms.
+ Innovate in Ad Tech: Leverage Ad Tech environment to design and implement ML systems that improve advertising effectiveness and user engagement within the digital landscape.
+ Develop ML and DL Systems: Design, build, and iterate on machine learning and deep learning systems, ensuring they align with our strategic goals.
+ Experimentation and Collaboration: 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.
+ Optimize Data Pipelines: Architect and refine data pipelines, ensuring efficient data flow and processing for optimal ML model performance.
+ Continuous Learning and Improvement: 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.
+ Design and develop machine learning and deep learning systems to support United’s digital products
+ 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
United values diverse experiences, perspectives, and we encourage everyone who meets the minimum qualifications to apply. While having the “desired” qualifications make for a stronger candidate, we encourage applicants who may not feel they check ALL of those boxes! We are always looking for individuals who will bring something new to the table!
Qualifications
What’s needed to succeed (Minimum Qualifications):
+ 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
What will help you propel from the pack (Preferred Qualifications):
+ 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.
United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact JobAccommodations@united.com to request accommodation.
Equal Opportunity Employer – Minorities/Women/Veterans/Disabled/LGBT