Applied Scientist: Global Compliance & Safety ML

Amazon Inc.

Asti

Ibrido

EUR 17.000 - 25.000

Tempo pieno

31 ore fa
Candidati tra i primi
Generatore di candidature

Una candidatura completa in un minuto — curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Descrizione del lavoro

Amazon is seeking an Applied Scientist for the Compliance and Safety Services team. You will research NLP, multimodal modeling, and large language models to enhance product safety and compliance globally, collaborating with engineers, program managers, and product managers to deploy ML solutions across the catalog.

The role focuses on designing new algorithms, evaluating state‑of‑the‑art methods, and publishing research while contributing to roadmaps and cross‑functional initiatives.

Competenze

  • Experience programming in Java, C++, Python.
  • Bachelor's degree or higher in Engineering, CS, ML, Stats or Physics.
  • Experience building ML models or algorithms for business use cases.

Mansioni

  • Research and evaluate state‑of‑the‑art NLP, multi‑modal modeling, and LLM techniques.
  • Design algorithms to improve safety and compliance with business impact.
  • Collaborate with engineers, PMs and product teams to deploy ML solutions.
  • Plan data collection, labeling, and auditing to improve models.
  • Communicate results to stakeholders and contribute to research roadmap.
  • Interface data pipelines with software and publish internal/external research.

Conoscenze

Java
C++
Python

Formazione

Bachelor's degree or higher

Strumenti

scikit-learn
PyTorch
numpy
scipy

Descrizione del lavoro

Amazon is seeking an Applied Scientist for the Compliance and Safety Services team. You will research NLP, multimodal modeling, and large language models to enhance product safety and compliance globally, collaborating with engineers, program managers, and product managers to deploy ML solutions across the catalog.

The role focuses on designing new algorithms, evaluating state‑of‑the‑art methods, and publishing research while contributing to roadmaps and cross‑functional initiatives.

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