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Blue Origin · 3 weeks ago

Software Engineer III AI & Emerging Tech

Greater Seattle Area

Full-time

Onsite

Senior Level

$135K/yr - $189K/yr

5+ years exp

Blue Origin is a company focused on developing reusable, safe, and low-cost space vehicles and systems. They are seeking a highly skilled Software Engineer to join their Artificial Intelligence and Emerging Technologies team, where the main responsibilities include developing AI/ML models, writing maintainable code, and collaborating with cross-functional teams.

AerospaceManufacturingNational SecurityRenewable Energy

No H1B

U.S. Citizen Only

Responsibilities

Design, implement, and optimize complex AI and machine learning models

Develop scalable and robust machine learning frameworks

Create algorithms that generate content based on learned data patterns

Write high-quality, efficient, and maintainable code

Implement and deploy AI models in production environments

Develop and maintain scalable AI systems, agents, and applications

Collaborate with data scientists to preprocess, analyze, and interpret large datasets

Collect and prepare data for training and evaluation of AI models

Stay up-to-date with the latest advancements in AI/ML technologies and practices

Contribute to the development of new AI techniques and methodologies

Work closely with cross-functional teams to integrate AI/ML solutions into products

Communicate complex technical concepts to non-technical stakeholders

Provide technical guidance and mentorship to junior team members

Lead AI/ML projects and initiatives

Conduct model testing, validation, and optimization

Improve the efficiency, accuracy, and scalability of AI systems

Work with cloud platforms and services (e.g., AWS, Google Cloud, Azure)

Implement containerization and orchestration technologies (e.g., Docker, Kubernetes)

Maintain comprehensive documentation of models, processes, and experiments

Implement and promote software engineering best practices in AI development

Qualification

AI/ML Model DevelopmentCloud Computing AWSCloud Computing AzureSoftware Development JavaSoftware Development CMachine Learning FrameworksDatabase Management SQLDatabase Management NoSQLPythonNeural NetworksReal-time Data ProcessingProblem-solvingCommunication SkillsLeadershipMentorship

Required

Able to work onsite in Renton, WA

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field

5+ years of professional software development experience focusing on backend development using languages such as Java, C

Proficiency in languages commonly used in AI development, such as Python, R, or Julia

Strong knowledge of database management systems, both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra)

Experience with cloud computing platforms such as AWS, Azure, or Google Cloud, and their AI-related services

Familiarity with principles of software engineering focused on availability, reliability, and scalability

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 AI technologies and environments

Proven track record of successfully delivering complex AI projects on time and within budget

Preferred

Proven experience with large language models (LLMs) and AI/ML application development

Advanced understanding of neural networks, deep learning, and generative AI models

Strong background in developing agent applications, including agent frameworks and autonomous systems

Extensive experience with AI and machine learning tools and frameworks, such as TensorFlow, PyTorch, or Scikit-learn

Experience with real-time analytics and real-time data processing pipelines

Strong background in network architecture, security protocols, and best practices for securing AI systems

Strong project management skills with the ability to manage multiple priorities

Demonstrated success in optimizing and scaling AI models and infrastructure to handle high traffic and large datasets

Strong understanding of real-time systems and their application in AI to deliver low-latency, high-throughput solutions

Ability to stay updated with the latest advancements in AI, machine learning, and related fields, and to adopt these advancements in practical applications