Boeing
Aerospace · Aerospace
- HQ
- Chicago, US
- Founded
- 1916
- Size
- 170,000+
- Website
- boeing.com
Currently tracking 9 active AI roles, up 2453% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $95k–$235k (avg $168k).
Aerospace · Aerospace
| Title | Stage | AI score |
|---|---|---|
| AI/ML Researcher (Multimodal) Boeing Korea is seeking an AI/ML Researcher specializing in Multimodal AI. The role involves developing and integrating vision, language, and other modalities, with a focus on transferring research outcomes to stable, enterprise-grade production systems. Responsibilities include developing AI solutions, researching and implementing state-of-the-art models, building scalable AI pipelines, and translating research into production-ready systems. Requires strong Python, PyTorch/TensorFlow, and software engineering skills, with experience deploying models beyond notebooks. | Post-trainServe | 8 |
| Data Scientist (Data Science) Boeing Defense, Space & Security is seeking a Mid-Level Data Scientist with experience in AI, ML, and Generative AI to join their team. The role involves developing and optimizing GenAI models, contributing to AI-driven applications, and working with deep learning frameworks and GPU infrastructure. Responsibilities include fine-tuning, evaluation, prompt engineering, prototyping, and collaborating with MLOps teams. Experience in regulated industries and with container technologies is preferred. |
| Post-trainAgent |
| 7 |
| Senior Data Scientist Senior Data Scientist at Boeing specializing in Generative AI (GenAI), focusing on developing and optimizing advanced GenAI models, including LLMs and multi-modal systems. Responsibilities include fine-tuning, evaluation, prompt engineering, prototyping applications, assessing bias/fairness, collaborating with MLOps for scaling inference, and mentoring junior scientists. | Post-trainAgent | 7 |
| Mid-Level or Senior Engineering Data Scientist This role focuses on developing and deploying predictive models and data-driven tools to enhance aerospace safety by analyzing diverse aviation datasets. It involves model development, validation, ETL pipeline creation, and translating insights into actionable recommendations for stakeholders. | Post-trainServe | 5 |