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Responsibilities
Build high‑performance, cloud‑native machine learning infrastructure and services to enable rapid innovation across United.
Set up containers and Serverless platforms with cloud infrastructure.
Design and develop tools and apps to enable ML automation using the AWS ecosystem.
Build data pipelines to enable ML models for batch and real‑time data.
Hands‑on development expertise of Spark and Flink for both real‑time and batch applications.
Support large‑scale model training and serving pipelines in a distributed, scalable environment.
Stay aligned with the latest developments in cloud‑native and ML ops/engineering, and experiment with new technologies such as NumPy, data‑science packages (e.g., sci‑kit), and microservices architecture.
Optimize, fine‑tune generative AI/LLM models to improve performance and accuracy, and deploy them.
Evaluate the performance of LLM models and implement LLMOps processes to manage the end‑to‑end lifecycle of large language models.
Develop, optimize, and fine‑tune generative AI/LLM models to improve performance and accuracy, and deploy them.
Qualifications Minimum Qualifications
Bachelor's degree in Computer Science, Data Science, Generative AI, Engineering or a related discipline, or Mathematics experience required.
5+ years of software engineering experience with languages such as Python, Go, Java, or C/C++.
5+ years of experience in machine learning, deep learning, and natural language processing.
Strong software engineering experience with Python and at least one additional language such as Go, Java, or C/C++.
Strong technical leadership and familiarity with data‑science methodologies and frameworks (e.g., PyTorch, TensorFlow), and preferably building and deploying production ML pipelines.
Experience in ML model life‑cycle development and familiarity with common algorithms such as XGBoost, CatBoost, deep learning, etc.
Experience setting up and optimizing data stores (RDBMS/NoSQL) for production use in the ML app context.
Cloud‑native DevOps, CI/CD experience using tools such as Jenkins or AWS CodePipeline; preferably experience with GitOps tools such as ArgoCD, Flux, or Jenkins X.
Experience with generative models such as GANs, VAEs, and autoregressive models.
Prompt engineering: Ability to design and craft prompts that evoke desired responses from LLMs.
LLM evaluation: Ability to evaluate the performance of LLMs on a variety of tasks, including accuracy, fluency, creativity, and diversity.
LLM debugging: Ability to identify and fix errors in LLMs, such as bias, factual errors, and logical inconsistencies.
LLM deployment: Ability to deploy LLMs in production environments and ensure they are reliable and secure.
Experience with LLMOps (Large Language Model Operations) or AgenticOps (Agentic Operations) to manage the end‑to‑end lifecycle of large language models.
Experience with generative AI methods such as retrieval‑augmented generation (RAG) and instruction fine‑tuning.
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 Qualifications
Master's/PhD degree in Computer Science or a related STEM field.
5+ years of experience working in cloud environments (AWS preferred) – Kubernetes, Docker, ECS, and EKS.
5+ years of experience with Big Data technologies such as Spark, Flink, and SQL programming.
5+ years of experience with cloud‑native DevOps, CI/CD.
3–5+ years of relevant enterprise architecture experience.
1+ years of experience with Generative AI/LLMs.
Benefits and Compensation Base pay range: $147,060.00 to $191,516.00. Eligible for bonus and/or long‑term incentive compensation awards. Benefits include medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter benefits, paid holidays, paid time off, 401(k), and flight privileges.
United Airlines is an Equal Opportunity Employer. We recruit, employ, train, compensate, and promote without regard to race, color, religion, national origin, gender identity, sexual orientation, disability, age, veteran status, or any other protected category under applicable law. We provide reasonable accommodations for applicants and employees with disabilities. To request an accommodation, contact JobAccommodations@united.com.
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Sprachkenntnisse
- English
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