Blue Origin · 6 hours ago
Machine Learning Engineer/Scientist I - Early Career 2025 University Grad
Greater Seattle Area
Full-time
Onsite
Entry Level
$111K/yr - $155K/yr
2+ years expBlue Origin is dedicated to developing reusable, safe, and low-cost space vehicles and systems. The Machine Learning Engineer/Scientist I role involves creating innovative AI models to improve manufacturing processes for space crafts, directly contributing to the company's goals of enhancing space exploration.
AerospaceManufacturingNational SecurityRenewable Energy
No H1B
U.S. Citizen Only
Responsibilities
Based upon your desired career path, projects may include 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. Specific duties are subject to our business unit objectives. Some examples include:
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
Qualification
Required
Able to start working full-time by the end of 2025
BS in Computer Science or relevant (earned within the last year or by Fall 2025)
Machine Learning
Bachelors or Masters with relevant course work - Linear algebra, Statistics, NLP, and Computer Vision
2+ 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 a variety 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
Ability to earn trust, maintain positive and professional relationships, and contribute to a culture of inclusion
Ability to work independently and as part of a team on rapid development programs
Relevant internship/co-op and academic project experience that demonstrate development of both technical skills as well as leadership qualities
Self-driven with the ability to seek out requirements with minimal direction
Strong written, verbal, communication, and interpersonal skills
Passion for Blue's Mission with a strong desire to continuously learn and improve
Preferred
Advanced degree (MS or higher) in Computer Science, Software Engineering, or a related field
1+ years of experience in the industry working on real-world data and building AI systems
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 contribution
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.
Company
Blue Origin
Blue Origin is an aerospace company that focuses on lowering the cost of spaceflight and helping to explore the solar system.
10001+ employees
Funding
Current Stage
Late StageTotal Funding
$185.35MKey Investors
NASAUnited States Space Force
2024-02-20Secondary Market
2024-01-24Undisclosed· $18M
2021-12-03Grant· $130M
Leadership Team
David Limp
Chief Executive Officer
Tim Collins
Vice President, Global Supply Chain
Recent News
2026-01-25
2026-01-24
Company data provided by crunchbase