59 applicants

Company

Original Job Post

United Airlines · 2 days ago

Senior Engineer - Machine Learning

Chicago, IL

Full-time

Onsite

Mid Level

2+ years exp

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Responsibilities

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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Machine LearningPythonJavaRTensorFlowPytorchKerasScikit-LearnSpark MLibLangchainData StructuresData ModelingSoftware ArchitectureAgile MethodologiesProblem-SolvingCollaborationCommunicationInnovationLeadershipReliabilityComputer EngineeringAdvertising TechnologyAd TargetingOptimizationGenerative AILarge Language Models

Required

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

Preferred

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.