At Blue Origin, we envision millions of people living and working in space for the benefit of Earth. We're working to develop reusable, safe, and low-cost space vehicles and systems within a culture of safety, collaboration, and inclusion. Join our team of problem solvers as we add new chapters to the history of spaceflight! This role is part of Blue Origin Operations, which is comprised of Integrated Supply Chain, Test Operations, Safety, Quality, and Mission Assurance. This includes Manufacturing and Supply Chain support across all Blue Origin facilities. We are seeking a highly skilled Senior Data Scientist who can apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required! This role is on the S&OP team, where we’re creating digital infrastructure for the entire organization to organize and connect our sales through design and manufacturing to vehicle re-use. Our primary focus is on building scalable solutions that automate our business processes. You will bring your perspective to aerospace applications for Manufacturing, Supply Chain, and Engineering support across all Blue Origin’s facilities. The ideal candidate will be hands-on and ready to dive in.
Requirements
- 7+ years of relevant experience designing ML models and deploying them to a production environment
- Strong proficiency in languages used in ML development, such as Python or R
- Proven experience with large language models (LLMs), deep learning, and generative AL models
- Experience with real-time analytics and real-time data processing pipelines, as well as proven success in optimizing and scaling ML models and infrastructure to handle high traffic and large datasets
- Proficient in deployment / version control services like git
- Experience with cloud computing platforms such as AWS, Azure, or Google Cloud
Responsibilities
- Design, implement, and optimize sophisticated machine learning (ML) models, including the collection and preparation of data
- Create algorithms that generate content based on learned data patterns
- Collaborate with Software Engineers to implement and deploy ML models in production environments
- Conduct model testing, validation, and optimization, and improve the efficiency, accuracy, and scalability of software systems
- Lead AI/ML projects and initiatives
- Work with cloud platforms and services, such as AWS, Azure, and Google Cloud
- Implement containerization and orchestration technologies via services like git, Docker, and Kubernetes
Other
- Passion for our mission and vision is required!
- Excellent written and verbal communication skills for clear documentation and cross-team collaboration, with the ability to work with and communicate complex systems to a varied user base
- Strong project management skills with the ability to manage multiple priorities
- Relocation provided
- Interviews will include a technical assessment
