Blue Origin is working to develop reusable, safe, and low-cost space vehicles and systems, and is looking for a Software Engineer (AI/ML Ops) to join their Automation Team to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight.
Requirements
- Extensive experience with AI and machine learning tools and frameworks, such as TensorFlow, PyTorch, or similar.
- Familiarity with manufacturing automation, including robotics, PLC's, automated NDT, and machine vision.
- Experience with AI edge deployments and integration into OT devices (e.g. Simatic NPU).
- Experience with serverless computing frameworks and technologies.
- Familiarity with software development in agile and scrum environments.
- Experience with database management systems, both SQL and NoSQL (e.g., PostgreSQL, MongoDB).
- Strong analytical and problem-solving skills with attention to detail.
Responsibilities
- Work directly with the automation engineering team to develop and implement strategies for seamless deployment of machine learning models into our automation products.
- Complete the operational aspects of AI and machine learning projects, ensuring robust and scalable deployment.
- Build and maintain the infrastructure required for efficient data processing, model training, and inference at scale.
- Set up and manage monitoring systems to ensure the performance, reliability, and scalability of AI/ML models in production.
- Automate the end-to-end machine learning pipeline, including data collection, preprocessing, model training, deployment, and monitoring.
- Work closely with data scientists, data engineers, and software engineers to streamline the workflow from development to production.
- Ensure that AI/ML systems comply with security standards and best practices, addressing data privacy and protection concerns.
Other
- Must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
- Bachelor’s or higher in Computer Science, Software Engineering, Mechanical Engineering or a related field.
- 15+ years of professional software development experience, with a significant focus on real world machine learning deployments using vision and/or time-series data.
- Ability to innovate and adapt to rapidly changing technologies and environment
- Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion.
