Software Engineer Mid Level - AI & Emerging Tech

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 Enterprise Technology (ET), where we’re developing the digital infrastructure needed to build the road to space, with an emphasis on digital capabilities required to advance Blue Origin’s mission.

Enterprise Technology is the center of excellence for digital technology at Blue Origin, providing oversight and governance to align technology and business strategies.

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!

We are seeking a highly skilled Software Engineer (Artificial Intelligence) to join Artificial Intelligence and Emerging Technologies team. This role requires an individual with a deep understanding of software development, and a broad range of technical capabilities. The ideal candidate will be hands-on and ready to dive in.

Work Location:

The Software Engineer will work onsite in our Renton, WA office. This position is eligible for relocation. Please note that remote employment and alternate locations are not available for this role.

Responsibilities:

Software Engineers in this organization can expect to work across a range of responsibilities such as:

AI/ML Model Development

• Design, implement, and optimize complex AI and machine learning models

• Develop scalable and robust machine learning frameworks

• Create algorithms that generate content based on learned data patterns

Software Engineering

• Write high-quality, efficient, and maintainable code

• Implement and deploy AI models in production environments

• Develop and maintain scalable AI systems, agents, and applications

Data Management

• Collaborate with data scientists to preprocess, analyze, and interpret large datasets

• Collect and prepare data for training and evaluation of AI models

Research and Innovation

• Stay up-to-date with the latest advancements in AI/ML technologies and practices

• Contribute to the development of new AI techniques and methodologies

Cross-functional Collaboration

• Work closely with cross-functional teams to integrate AI/ML solutions into products

• Communicate complex technical concepts to non-technical stakeholders

Leadership and Mentorship

• Provide technical guidance and mentorship to junior team members

• Lead AI/ML projects and initiatives

Performance Optimization

• Conduct model testing, validation, and optimization

• Improve the efficiency, accuracy, and scalability of AI systems

Infrastructure and Deployment

• Work with cloud platforms and services (e.g., AWS, Google Cloud, Azure)

• Implement containerization and orchestration technologies (e.g., Docker, Kubernetes)

Documentation and Best Practices

• Maintain comprehensive documentation of models, processes, and experiments

• Implement and promote software engineering best practices in AI development

Minimum Qualifications:

• Able to work onsite in Renton, WA.

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

• 5+ years of professional software development experience focusing on backend development using languages such as Java,
  
  C.

• Proficiency in languages commonly used in AI development, such as Python, R, or Julia.

• Strong knowledge of database management systems, both SQL (e.g., Postgre
  
  SQL, MySQL) and No
  
  SQL (e.g., Mongo
  
  DB, Cassandra).

• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud, and their AI-related services.

• Familiarity with principles of software engineering focused on availability, reliability, and scalability.

• Strong analytical and problem-solving skills with attention to detail.

• Excellent written and verbal communication skills for clear documentation and cross-team collaboration.

• Ability to innovate and adapt to rapidly changing AI technologies…