Applied AI Scientist — Build Production ML/GenAI

Amazon Web Services (AWS); Bellevue (WA); Sur place; USD 143 000 - 193 000; Plein temps

Avantages offerts par ce poste

Health insurance

401(k) matching

Paid time off

Parental leave

Résumé du poste

Amazon Web Services (AWS) is seeking a talented ML/GenAI engineer to design, develop, and deploy production-ready models for diverse industries from our Bellevue, WA area. You will collaborate with scientists and software engineers to turn research into scalable solutions on the AWS platform.

You will lead end-to-end ML projects, evaluate novel techniques, and establish automated data pipelines and model validation processes to ensure reliable, high-impact results for customers.

Qualifications

• 3+ years of building models for business applications.
• PhD or Master’s with 4+ years in CS/CE/ML.
• Experience programming in Java, C++, Python.
• Experience in algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, HPC.

Responsabilités

• Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across industries.
• Drive end-to-end ML and GenAI projects with ambiguity, scale, and complexity.
• Build machine learning models, perform PoC, experiment, optimize, and deploy to production.
• Collaborate with scientists and software engineers to deliver ML solutions to production.
• Establish scalable, automated processes for large-scale data analysis, model development, validation, and serving.
• Be the technical practitioner in AI/ML; lead efforts within the team and across others; explore new science approaches.
• Communicate scientific methodology clearly to diverse audiences.

Connaissances

Java

C++

Python

ML algorithms

Distributed computing

Formation

PhD or Master's degree in CS/CE/ML

Outils

Unix/Linux

Description du poste

Amazon Web Services (AWS) is seeking a talented ML/GenAI engineer to design, develop, and deploy production-ready models for diverse industries from our Bellevue, WA area. You will collaborate with scientists and software engineers to turn research into scalable solutions on the AWS platform.

You will lead end-to-end ML projects, evaluate novel techniques, and establish automated data pipelines and model validation processes to ensure reliable, high-impact results for customers.