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) 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 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) In-depth knowledge of system frameworks (e.g., Kubeflow, MLflow) Participation in software competitions and well-organized public code repositories are a plus

For more details, please refer to the company website.