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.

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.

This role will be a critical part of building the enterprise machine learning infrastructure and bringing machine learning services to production. The Senior Machine Learning Engineer will collaborate with data scientists, data engineers, IT teams, and business stakeholders to participate in the technical design and development of machine learning applications and integrations with production systems. Additionally, this role will ensure that applications and data pipelines meet production standards and performance expectations. This is an amazing opportunity for continuous learning then applying emerging and evolving innovation best practices to keep United Airlines at the cutting edge of technology.

Candidates local/commutable to Chicago or Houston areas (or willing to relocate) will be considered first/as priority. This is a hybrid role a to be onsite as needed/ on occasion.

Responsibilities

Architect and build core components of the Machine Learning Platform infrastructure
Work cross-functionally with data scientists, data engineers, IT teams, and business stakeholders to design, develop, deploy, and integrate high-performance machine learning solutions and data intensive workflows
Partner with data scientists and data engineers to build high-performance, efficient feature pipelines from backend data sources to train models and serve features to machine learning applications
Partner with data platform and operations teams to solve complex data ingestion, pipeline, and governance problems for machine learning solutions
Take ownership of production systems with a focus on delivery, continuous integration, and automation of machine learning workloads
Provide technical mentorship, guidance, and quality-focused code review to data scientists and ML engineers

Qualifications
Technical education in Computer Science, Data Science, Engineering, or equivalent experience (Master’s degree or higher preferred)
5+ years of software engineering experience (ML-focused highly preferred)
1+ years of experience developing cloud-native solutions (AWS preferred)
Familiarity with the practical aspects of machine learning and experience with common technologies and frameworks such as pandas, NumPy, PyTorch, TensorFlow, Spark, scikit-learn, MxNet
Experience working as a Machine Learning Engineer or Data Scientist
Strong experience with C, C++, Java, R, Python or other structured programming language
Strong desire to learn new technologies and stay aligned with the latest developments in the machine learning engineering community
AWS Certified Solution Architect (Associate or Professional) a bonus
Experience building real-time stream processing solutions with technologies such as Kafka, Flink, and Spark a bonus
Experience with Kubernetes a bonus
Must be legally authorized to work in the United States for any employer without sponsorship

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.