About the position
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 Senior 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.
Responsibilities
- 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
- Write high-quality, efficient, and maintainable code
- Implement and deploy AI models in production environments
- Develop and maintain scalable AI systems, agents, and applications
- Collaborate with data scientists to preprocess, analyze, and interpret large datasets
- Collect and prepare data for training and evaluation of AI models
- Stay up-to-date with the latest advancements in AI/ML technologies and practices
- Contribute to the development of new AI techniques and methodologies
- Work closely with cross-functional teams to integrate AI/ML solutions into products
- Communicate complex technical concepts to non-technical stakeholders
- Provide technical guidance and mentorship to junior team members
- Lead AI/ML projects and initiatives
- Conduct model testing, validation, and optimization
- Improve the efficiency, accuracy, and scalability of AI systems
- Work with cloud platforms and services (e.g., AWS, Google Cloud, Azure)
- Implement containerization and orchestration technologies (e.g., Docker, Kubernetes)
- Maintain comprehensive documentation of models, processes, and experiments
- Implement and promote software engineering best practices in AI development
Requirements
- 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., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, 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 and environments.
- Proven track record of successfully delivering complex AI projects on time and within budget.
Nice-to-haves
- Proven experience with large language models (LLMs) and AI/ML application development.
- Advanced understanding of neural networks, deep learning, and generative AI models.
- Strong background in developing agent applications, including agent frameworks and autonomous systems.
- Extensive experience with AI and machine learning tools and frameworks, such as TensorFlow, PyTorch, or Scikit-learn.
- Experience with real-time analytics and real-time data processing pipelines.
- Strong background in network architecture, security protocols, and best practices for securing AI systems.
- Strong project management skills with the ability to manage multiple priorities.
- Demonstrated success in optimizing and scaling AI models and infrastructure to handle high traffic and large datasets.
- Strong understanding of real-time systems and their application in AI to deliver low-latency, high-throughput solutions.
- Ability to stay updated with the latest advancements in AI, machine learning, and related fields, and to adopt these advancements in practical applications.
Benefits
- Medical, dental, vision, basic and supplemental life insurance
- Paid parental leave
- Short and long-term disability
- 401(k) with a company match of up to 5%
- Education Support Program
- Paid Time Off: Up to four (4) weeks per year based on weekly scheduled hours, and up to 14 company-paid holidays
- Discretionary bonus designed to reward individual contributions as well as allow employees to share in company results
