Sr. Autonomous Manufacturing Systems Engineer

blueorigin; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Job summary

Blue Origin is seeking a Software Engineer (AI/ML Ops) to join our Automation Team in San Francisco. You will embed value-added AI into manufacturing systems, partnering with automation engineers to deploy scalable models.

You will work with data scientists and software engineers to deliver robust, secure ML solutions, monitor performance, and continuously improve deployment processes for safe, high-quality spaceflight manufacturing.

Qualifications

• Experience deploying ML models into production environments.
• Ability to design and manage scalable ML pipelines.
• Collaborate with data scientists and software engineers.

Responsibilities

• Develop and implement strategies for seamless deployment of ML models into automation products.
• Complete operational aspects of AI/ML projects ensuring robust deployment.
• Build and maintain infrastructure for data processing, model training, and inference at scale.
• Set up monitoring to ensure performance, reliability, and scalability of ML models in production.
• Automate end-to-end ML pipeline including data collection, preprocessing, training, deployment, and monitoring.
• Collaborate with data scientists, data engineers, and software engineers to streamline development to production.
• Ensure AI/ML systems comply with security standards and data privacy practices.
• Perform performance tuning and troubleshooting to reduce latency.

Skills

AI/ML Ops

Machine Learning

Data processing

Model deployment

Monitoring

Security best practices

Education

Bachelor's degree in CS/Engineering

Tools

MLflow

Kubeflow

TensorFlow Extended

Job description

Application close date:

Applications will be accepted on an ongoing basis until the requisition is closed.

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 a world leading Manufacturing Automation organization that is revolutionizing manufacturing at Blue Origin. By blending proven and cutting edge manufacturing technologies with a relentless drive to develop, deploy and support high quality systems, we are enabling Blue Origin to realize our vision of millions of people living and working in space for the benefit of Earth.

Our team is looking for outstanding, highly motivated Software Engineers (AI/ML Ops) to join our Automation Team. This role requires an individual with a deep understanding of software development as well as automated manufacturing processes and systems, including industrial automation hardware and software. AI will unlock the true potential of manufacturing automation, you will join our team of automation development engineers, working directly with them to embed value-add AI in systems we create.

We are looking for someone to apply their technical expertise, leadership skills, and commitment to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!

Responsibilities include but are not limited to:

• 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.




• Conduct performance tuning, troubleshooting, and optimization of AI and ML models to improve efficiency and reduce latency.




• Evaluate, select, and integrate appropriate tools and frameworks for model training, deployment, and monitoring (e.g., MLflow, Kubeflow, TensorFlow Extended).




• Maintain comprehensive documentation of processes, configurations, and performance metrics of deployed AI/ML models.




• Foster a culture of continual improvement by staying updated with the latest advancements in AI/ML Ops and implementing best practices.




• Develop and implement incident response plans to address and mitigate issues with deployed models promptly.