At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.

• Develop, deploy, and maintain ML pipelines, architectures, algorithms, and models • Build software verification systems that comply with aviation safety requirements • Work effectively within an international team using English communication

• Bachelor’s degree with 5 years’ related work experience or Master degree with 3 years’ related work experience or PhD in Engineering, Computer Science, or Mathematics • In-depth knowledge of machine learning, data science and engineering • Proficiency in multiple programming languages (e.g., Python, JavaScript, TypeScript, Golang) • In-depth knowledge of Front-end framework (e.g., React, NextJS) • In-depth knowledge of Back-end framework (e.g., FastAPI) • In-depth knowledge of model deployment on infrastructure-agnostic environment (e.g., Kubernetes, Docker) • In-depth experience with Cloud platform and service (e.g., AWS, Azure, GCP) • In-depth experience with CI/CD tools (e.g., GitLab CI, Argo CD, Jenkins) and monitoring tools (e.g., Grafana, Prometheus) • In-depth ML Model development (e.g., PyTorch, TensorFlow) and deployment experiences (e.g., ONNX) • Effective verbal and written English communication skill

• Master’s, Ph.D., or equivalent in Engineering, Computer Science, or Mathematics • In-depth experience with machine learning frameworks (e.g., TensorFlow, Keras, PyTorch) • In-depth knowledge of system frameworks (e.g., Kubeflow, MLflow) • Participation in software competitions and well-organized public code repositories are a plusApplicable and appropriate educational/certification credentials from an accredited institution and/or equivalent experience is required.

For more details, please refer to the company website.