Applied AI Scientist — GenAI & ML Innovator

Amazon Science

Bellevue (WA)

Vor Ort

USD 143.000 - 193.000

Vollzeit

Vor 5 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Health insurance (medical, dental, and
401(k) matching
Paid time off
Parental leave
RSUs

Zusammenfassung

Amazon Science is seeking builders to design, develop, and evaluate innovative ML models that solve diverse challenges across industries. You will drive end-to-end ML and GenAI projects with ambiguity at scale, build models, run PoCs, and deploy them into production while collaborating with scientists and software engineers to deliver production-ready solutions.

You will establish scalable automated data analysis and model validation processes, and lead AI/ML initiatives across teams,

Qualifikationen

  • 3+ years of building models for business application experience.
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
  • Experience programming in Java, C++, Python or related language.
  • Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Aufgaben

  • Design, develop, and evaluate innovative ML models to solve diverse challenges and opportunities across industries.
  • Drive end-to-end Machine Learning and GenAI projects that have a high degree of ambiguity, scale, complexity.
  • Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.
  • Work with scientists and software engineers to deliver machine-learning and science solutions to production.
  • Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
  • Be the technical practitioner in AI/ML; lead efforts within this team and across other teams; research new and innovative science approaches.
  • Able to communicate scientific methodology clearly to audiences from diverse backgrounds

Kenntnisse

ML models
GenAI
Distributed computing
Python
Java
C++
Data mining

Ausbildung

CS/CE/ML degree

Tools

Unix/Linux
Software development

Jobbeschreibung

Amazon Science is seeking builders to design, develop, and evaluate innovative ML models that solve diverse challenges across industries. You will drive end-to-end ML and GenAI projects with ambiguity at scale, build models, run PoCs, and deploy them into production while collaborating with scientists and software engineers to deliver production-ready solutions.

You will establish scalable automated data analysis and model validation processes, and lead AI/ML initiatives across teams,

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