Staff Machine Learning Engineer, Foundation - Seattle
Core
Design and develop robust AI architectures, frameworks, and algorithms to support large-scale enterprise SaaS AI solutions and deploy ML systems in production.
Role type
Staff Machine Learning Engineer (Platform/Infrastructure)
Builds
Reusable ML platform components, tools, and services enabling ML adoption across multiple products
Domain
Enterprise SaaS, Experience Management, AI/ML Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, Java, C++, TensorFlow, PyTorch, Keras, AWS, Azure, Google Cloud, LLM optimization (DeepSpeed, Accelerate, FasterTransformer, Transformers-NeuronX), system design, code review
Preferred skills
Responsible AI practices, ethical AI considerations
Technologies
TensorFlow, PyTorch, Keras, AWS, Azure, Google Cloud, DeepSpeed, Accelerate, FasterTransformer, Transformers-NeuronX
Responsibilities
Design and develop robust AI architectures and frameworks; Evaluate and select appropriate AI technologies; Collaborate to guide the direction of machine learning across the company; Lead and document AI architectures and technical specifications; Work with research scientists to develop and deploy ML systems; Offer technical supervision to ML platform teams; Conduct code reviews and provide technical guidance
Seniority
Staff, hands-on IC with mentorship responsibilities
