Applied Machine Learning Scientist II (AI/ML)

Applied Machine Learning Scientist II (AI/ML) Blue Origin LLC

• Seattle, WA Posted:

  3/13/2026

•

Expires:

6/11/2026

Job ID:

293276031 Job Description 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. 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:

As part of the core AI team within the Enterprise Technology group, you will be instrumental in improving the manufacturing processes of space crafts. By helping build novel AI systems that harnesses multimodal information from disparate sources and automatically transforming them, your work will assist manufacturing engineers in our factories, and make them more efficient, reduce latency, and increase velocity of launches. Here are a few common tasks that are expected to be completed as part of your role: 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 course work

• 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 (TensorFlow/ 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, torchvision, NLTK, spaCy, diffusers, vllm, transformers, DSPy, Ray, LangGraph, DeepSpeed etc.) Designing machine learning experiments
• understanding and improving model behaviors and proposing solutions for generalization/interpretability Familiarity with reinforcement learning principles.

Understanding of AI ethics and responsible AI development practices Distributed Systems Expertise with GPU optimization 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 modeling, or RLHF Experience with 3D modeling and building multi-agentic workflows Demonstrate concrete achievements from ML projects that involve building multimodal algorithms for some of the following tasks: segmentation, object detection, classification, question and answering and so on Interest or experience in test-time/inference scaling Research publications in machine learning conferences, journals and/or open-source contributions Compensation Range for: WA applicants is $134,961.

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• $188,945.

40 Other site ranges may differ Culture Statement Don't meet all desired requirements? Studies have shown that some people are less likely to apply to jobs unless they meet every single desired qualification. At Blue Origin, we are dedicated to building an authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every desired qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Export Control Regulations Applicants for employment at Blue Origin must be a U.S. citizen or national, U.S. permanent resident (i.e. 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 Standard Background Check Required for

Certain Job Profiles:

Defense Biometric Identification System (DBIDS) background check if at any time the role requires one to be on a military installation Required for

Certain Job Profiles:

Drivers who operate Commercial Motor Vehicles with a Gross Vehicle Weight (GVW), Gross Vehicle Weight Rating (GVWR) or combination of power unit and trailer that meets or exceeds 10,001 lbs. and/or transports placardable amounts of hazardous materials by ground in any vehicle on a public road while in commerce, may be subject to additional Federal Motor Carrier Safety Regulations including: Driver Qualification Files, Medical Certification (obtained before onboarding), Road Test, Hours of Service, Drug and Alcohol Testing (CDL drivers only), vehicle inspection requirements, CDL requirements (if applicable) and hazardous materials transportation/shipping training. Required for certain

Job Profiles:

Ability to obtain and maintain Merchant Mariner Credential, which includes pre-employment and random drug testing as well as DOT physical Benefits Benefits include: 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%, and an 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. Dependent on role type and job level, employees may be eligible for benefits and bonuses based on the company's intent to reward individual contributions and enable them to share in the company's results, or other factors at the company's sole discretion. Bonus amounts and eligibility are not guaranteed and subject to change and cancellation. Please check with your recruiter for more details.