Blue Origin - Seattle, WA
posted 6 days ago
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 diverse team of problem solvers as we add new chapters to the history of spaceflight! 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! This role is on the Artificial Intelligence and Emerging Technologies team (under the Enterprise Technology organization), where we're creating digital infrastructure needed to build the road to space. Our primary focus is on leveraging Artificial Intelligence 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.
Responsibilities
- Lead and manage the operational aspects of AI and machine learning projects, ensuring robust and scalable deployment.
- Develop and implement strategies for seamless deployment of machine learning models into production environments.
- 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 AIML Ops and implementing best practices.
- Develop and implement incident response plans to address and mitigate issues with deployed models promptly.
- Plan and implement strategies for scaling AI/ML models to handle increased demand and larger datasets.
- Proactively propose new solutions and enhancements leveraging AI/ML to address business challenges and improve operational efficiency.
- Work with cross-functional teams to incorporate AI/ML insights into broader business strategies and processes.
Requirements
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- 5+ years of professional software development experience, with a significant focus on AI/ML ops.
- Extensive experience with AI and machine learning tools and frameworks, such as TensorFlow, PyTorch, or similar.
- Advanced understanding of microservices architecture and best practices.
- Experience with serverless computing frameworks and technologies.
- Proficiency with hybrid and multi-cloud environments.
- Strong background in network architecture and security protocols.
- Experience with large-scale data processing frameworks.
- Familiarity with software development in agile and scrum environments.
- Experience with database management systems, both SQL and NoSQL (e.g., PostgreSQL, MongoDB).
- Advanced knowledge of cybersecurity best practices and compliance issues.
- Strong project management skills with the ability to manage multiple priorities.
- Demonstrated success in automating complex infrastructure and creating self-healing systems.
- 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 technologies and environment.
- 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.
Nice-to-haves
- Certifications such as AWS Certified DevOps Engineer, Google Cloud Professional DevOps Engineer, Certified Kubernetes Administrator (CKA), or similar.
- Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion.
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.
