Applied Scientist III, AWS Startups
Core
Build ML capabilities for AWS Startup Advisor, an AI-powered service providing proactive recommendations and personalized technical guidance to hundreds of thousands of startup founders.
Role type
Senior Applied Scientist (Generative AI & Recommendation Systems)
Builds
AWS Startup Advisor (AI-powered guidance service for startup founders)
Domain
Cloud computing / Startup ecosystem / Generative AI
Deliverable
production ML models
Required skills
Machine learning model development, Neural deep learning, Generative AI, Large language models (LLMs), Prompt engineering, Retrieval-augmented generation (RAG), Agentic architectures, Experiment design, Model evaluation, Production deployment
Preferred skills
Fine-tuning foundation models, Agentic architectures, Modeling tools (R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy) (via careerplan.io/jobs/10569747-applied-scientist-iii-aws-startups-at-amazon)
Responsibilities
Own end-to-end science problems including problem framing, data strategy, model design, evaluation, and production deployment; Design and run experiments to quantify model quality and balance accuracy, latency, and cost; Partner with product and engineering teams to translate science into scalable products; Mentor other scientists and engineers; Conduct code reviews and contribute to the scientific community
Seniority
Senior, hands-on IC