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Applied Machine Learning Scientist II; AI​/ML

Job in Seattle, King County, Washington, 98127, USA
Listing for: Blue Origin
Full Time position
Listed on 2025-12-28
Job specializations:
  • Engineering
    AI Engineer
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Position: Applied Machine Learning Scientist II (AI/ML)

Applied Machine Learning Scientist II (AI/ML)

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. Join us to develop innovative AI models for our Rocket Factory with a collaborative team. We are looking for someone with deep technical expertise that is interested in positively impacting safe human spaceflight. If you are a passionate and high‑agency individual (have energy to independently drive initiatives, fix problems and improve status quo), we would love to hear from you.

We encourage you to apply even if you do not believe you meet every single qualification. We are building an inclusive team and understand that learning curves exist for everyone.

Role And Responsibilities
  • Design experiments, hypotheses and rigorously benchmark solutions
  • Conduct literature review to identify relevant datasets, models and tools to prototype and improve AI systems in production
  • Develop techniques for data preprocessing, extraction, and synthetic generation
  • Deploy algorithms by creating docker images, spinning up containers, creating endpoints and microservices
  • Document your findings and present to stakeholders
Desired Background And Qualifications
  • Machine Learning
  • Masters or PhD with relevant coursework – Linear algebra, Statistics, NLP, and Computer Vision
  • 3+ years of experience in the industry working on real‑world data and building AI systems
  • 4+ years of experience coding – Python and AI frameworks (Tensor Flow/PyTorch)
  • Background in Deep Learning – vision‑language models (VLMs), transformers, training LoRA adapters, model distillation, and fine‑tuning
  • Strong mathematical foundations – linear algebra, calculus, statistics
  • Ability to curate large‑scale multimodal datasets – data preprocessing and generation of datasets (synthetic and human‑labeled)
  • Experience with ML libraries and tools – pandas, torch vision, NLTK, spaCy, diffusers, vllm, transformers, DSPy, Ray, Lang Graph, Deep Speed, etc.
  • Designing machine learning experiments – understanding and improving model behaviours and proposing solutions for generalisation/interpretability
  • Familiarity with reinforcement learning principles
  • Understanding of AI ethics and responsible AI development practices
  • Distributed Systems
  • Expertise with GPU optimisation and Cloud platforms (AWS, Azure)
  • Experience with container orchestration tools (Docker, Kubernetes)
  • CI/CD pipeline implementation and management
  • Systems architecture design for AI applications
Preferred Qualifications
  • Prompt and context engineering – experience with implementation of Retrieval‑Augmented Generation (RAG)
  • Proficiency in generative model architectures – GANs, VAEs, Diffusion Models
  • Experience with post‑training techniques – instruction tuning, preference modelling, or RLHF
  • Experience with 3D modelling and building multi‑agentic workflows
  • Demonstrated achievements from ML projects that involve building multimodal algorithms for tasks such as segmentation, object detection, classification, question answering and more
  • Interest or experience in test‑time/inference scaling
  • Research publications in machine learning conferences, journals and/or open‑source contributions

WA applicants are offered a compensation range of $ – $.

Export Control Regulations:
Applicants for employment at Blue Origin 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.

Background Check
  • Required for all positions:
    Blue’s…
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