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! 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 a diverse team of collaborators, doers, and problem-solvers who are relentlessly committed to a culture of safety. This position will directly impact the history of space exploration and will require your commitment and detailed attention towards safe and repeatable space flight. Join us in lowering the cost of access to space and enabling Blue Origin’s vision of millions of people living and working in space to benefit Earth. Develop innovative AI models for our Rocket Factory with a collaborative, skilled team. We are seeking someone to apply their technical expertise, leadership skills, and dedication to quality to positively impact safe human spaceflight. Passion for our mission and vision is required!
Responsibilities
- Develop innovative AI models for the Rocket Factory.
- Apply technical expertise and leadership skills to impact safe human spaceflight.
- Collaborate with a skilled team to advance Blue Origin's mission.
Requirements
- Proficiency with AI frameworks (TensorFlow, PyTorch, Keras).
- Experience with transformer architectures and language model design.
- Cloud platform expertise (AWS, Azure).
- Full stack development capabilities (front-end and back-end).
- Strong background in procedural generation techniques.
- Knowledge of computational engineering concepts.
- Expertise in programming languages: C#, C++, Python, and G-code.
- Prompt engineering experience along with LLM training & development.
- Familiarity with vector database management (e.g., Pinecone, Milvus, FAISS).
- Implementation of Retrieval-Augmented Generation (RAG) API development and integration.
- Experience with container orchestration tools (Docker, Kubernetes).
- Working knowledge of cloud platforms (AWS, Google Cloud, Azure).
- Competence in data preprocessing and cleaning techniques.
- Experience with game engines (Unreal Engine 5 or similar) for procedural content generation.
- Proficiency in generative model architectures (GANs, VAEs, Diffusion Models).
- CI/CD pipeline implementation and management.
- Expertise in embeddings generation and optimization.
- Experience with natural language processing libraries (NLTK, spaCy, Hugging Face).
- Systems architecture design for AI applications.
- Must be a U.S. citizen or national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum.
Nice-to-haves
- Deep understanding of machine learning algorithms and optimization techniques.
- Knowledge of computer vision and image processing methods.
- Strong mathematical foundation (linear algebra, calculus, statistics).
- Familiarity with reinforcement learning principles.
- Experience with 3D modeling and digital asset creation workflows.
- Knowledge of model fine-tuning and transfer learning techniques.
- Expertise in GPU optimization and distributed computing strategies.
- Familiarity with synthetic data generation techniques.
- Experience with model quantization and performance optimization.
- Understanding of AI ethics and responsible AI development practices.
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 and allow employees to share in company results.
