Senior ML Scientist — AI for Startup Guidance

Amazon Inc.; Seattle, Northern (WA, KY); Hybrid; USD 167,000 - 226,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. is seeking a scientist to own ML capabilities for AWS Startup Advisor, spanning data foundation, model design, evaluation, and deployment to serve founders globally.

You will frame problems, define data strategies, build ML and retrieval/ranking solutions, and collaborate with product and engineering to deliver scalable offerings while balancing cost and latency. Mentorship and community contributions are encouraged.

Qualifications

• 3+ years of building machine learning models for business application experience.
• PhD, or Master’s degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

Responsibilities

• Own the science for problem areas end-to-end: frame the problem, define the data strategy, build and evaluate ML models for recommendation systems, startup segmentation, and fraud detection, and deploy them into production.
• Apply generative AI and large language models to personalize the technical guidance founders receive, including retrieval, ranking, and evaluation of LLM-powered experiences.
• Design and run experiments that keep model quality quantified and defensible, making clear trade-offs between accuracy, latency, and cost as you balance rapid iteration with production reliability.
• Partner with product, engineering, design, and go-to-market teams to translate science into scalable products, and communicate results clearly to both technical and non-technical leaders.
• Raise the scientific bar through design and code reviews, mentor other scientists and engineers, and contribute to the broader scientific community through publications or peer reviews.

Skills

ML model development

Deep learning

Java/C++/Python

Experimentation & evaluation

Education

PhD

Tools

Java

C++

Python

TensorFlow

scikit-learn

Spark MLLib

MxNet

Job description

Amazon Web Services, Inc. is seeking a scientist to own ML capabilities for AWS Startup Advisor, spanning data foundation, model design, evaluation, and deployment to serve founders globally.

You will frame problems, define data strategies, build ML and retrieval/ranking solutions, and collaborate with product and engineering to deliver scalable offerings while balancing cost and latency. Mentorship and community contributions are encouraged.