United Airlines · 1 day ago
Senior Manager - Machine Learning
Chicago, IL
Full-time
Onsite
Senior Level
$143K/yr - $187K/yr
7+ years expUnited Airlines is a leading airline company seeking a strategic and technically strong Senior Manager, Machine Learning to lead their enterprise ML and GenAI platform. This role involves driving architecture, development, and operations of ML engineering and GenAI systems to enable scalable AI solutions across the business.
HospitalityIn-Flight EntertainmentService IndustryTransportationTravel
No H1B
Responsibilities
Define and execute the ML/GenAI platform strategy aligned with enterprise digital transformation objectives
Hands-on experience leading an ML Generative AI
Own the platform roadmap, architecture decisions, and budget planning to scale AI capabilities across the enterprise
Collaborate with CDO, CIO, and senior stakeholders to identify, prioritize, and fund impactful AI/GenAI investments
Represent the ML Center of Excellence (COE) in cross-functional meetings and strategic planning forums
Serve as the primary liaison between the COE and business units, effectively communicating technical capabilities and business impact
Lead initiatives around LLMs and foundation models (e.g., OpenAI, Anthropic, Hugging Face, Cohere)
Design and operationalize GenAI pipelines (e.g., RAG, prompt orchestration, fine-tuning, and safety guardrails)
Build and deploy secure, scalable GenAI applications with a strong emphasis on privacy, safety, and compliance
Integrate LLMs into enterprise workflows, such as copilots, document summarization, intelligent assistants, and domain-specific Q&A systems
Design, manage, and monitor the enterprise ML engineering platform, ensuring scalability, reliability, and automation
Take ownership of ML production systems with a focus on CI/CD, observability, and resilient architecture
Develop robust MLOps processes to monitor model performance, detect drift, and automate retraining and validation
Build and maintain tools and frameworks to govern ML models for compliance, bias, versioning, traceability, and auditability
Design and implement feature engineering and data pipelines to deliver high-quality training data and inference-ready datasets
Partner with data scientists and engineers to create reusable, production-grade feature stores and pipelines
Solve complex data ingestion, transformation, and governance challenges in collaboration with data platform and DataOps teams
Develop integrated ML/AI solutions on enterprise analytics platforms (e.g., Palantir Foundry, Databricks)
Hire, mentor, and grow a high-performing ML engineering team with a focus on innovation, execution, and impact
Provide technical mentorship and guidance to ML engineers and data scientists, ensuring high standards in design and implementation
Promote a culture of continuous learning, experimentation, and operational excellence
Building auto-scaling ML systems
Qualification
Required
Bachelor's degree in Computer Science, Data Science, Engineering or a relevant field
7+ years of relevant experience
Experience leading ML Ops teams
Gen AI technology experience
Understanding of architecture and relevant tools like PySpark, MLflow, LangChain, AWS, or etc
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
9+ years preferred
Experienced in platform and platform enablement. ML pipeline creation, management, feature engineering
5+ years of software development experience
2+ years of GenAI experience
Benefits
Medical
Dental
Vision
Life
Accident & disability
Parental leave
Employee assistance program
Commuter
Paid holidays
Paid time off
401(k)
Flight privileges
Company
United Airlines
United Airlines is an aviation company that provides information on reservations, bookings, and travel services online.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
unknown2006-01-25IPO
Leadership Team
Mike Leskinen
EVP, Chief Financial Officer
Deneen DeFiore
Vice President & Chief Information Security Officer
Recent News
2026-01-06
Business Insider
2026-01-06
Company data provided by crunchbase