Research Scientist, Ssg Science...

Amazon; Pisa; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading technology company in Italy seeks exceptional early-career research scientists for its Applied Science team. This role focuses on developing and optimizing edge models for consumer products, including tasks such as contributing to model compression techniques and co-authoring research papers. Candidates should possess a Bachelor's degree in a relevant quantitative field, experience with deep learning frameworks, and programming skills in Java, C++, or Python. This position promises a collaborative environment to gain exposure to cutting-edge technologies and contribute to significant research projects.

Competenze

• Bachelor's degree or higher in a quantitative field.
• PhD or Master's with experience in deep learning frameworks.
• Experience in developing deep learning algorithms.

Mansioni

• Contribute to model compression techniques.
• Optimize Gen AI models using Amazon's Neural Edge Engine.
• Co-author research papers for top conferences.

Conoscenze

Deep learning algorithms

Model optimization

Computer vision

Programming in Java

Programming in C++

Programming in Python

Formazione

Bachelor's degree in a quantitative field

PhD or Master's degree

Strumenti

MXNet

TensorFlow

Descrizione del lavoro

Amazon Devices is an inventive research and development company that designs and engineers high‑profile devices such as the Kindle family, Fire Tablets, Fire TV, Health Wellness, Amazon Echo & Astro products. This is an exciting opportunity to join Amazon in developing state‑of‑the‑art techniques that bring Gen AI to edge for our consumer products. We are looking for exceptional early‑career research scientists to join our Applied Science team and help develop the next generation of edge models, optimize them, and co‑design with custom ML hardware based on a revolutionary architecture.

Key Responsibilities

• Understand and contribute to model compression techniques (quantization, pruning, distillation, etc.) while developing a theoretical understanding of information theory and deep learning fundamentals.
• Work with senior researchers to optimize Gen AI models for edge platforms using Amazon's Neural Edge Engine.
• Study and apply first principles of information theory, scientific computing, and non‑equilibrium thermodynamics to model optimization problems.
• Assist in research projects involving custom Gen AI model development, aiming to improve state‑of‑the‑art under mentorship.
• Co‑author research papers for top‑tier conferences (NeurIPS, ICLR, MLSys) and present at internal research meetings.
• Collaborate with compiler engineers, Applied Scientists, and Hardware Architects while learning about production ML systems.
• Participate in reading groups and research discussions to build expertise in efficient AI and edge computing.

Basic Qualifications

• Bachelor's degree or above in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or an equivalent quantitative field.
• PhD, or a Master's degree and experience with popular deep learning frameworks such as MXNet and TensorFlow.
• Experience developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms.
• Experience in Java, C++, Python, or a related language.
• 1+ years of industry or academic research experience.

Preferred Qualifications

• Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics, or an equivalent quantitative field.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience with training and deploying machine learning systems to solve large‑scale optimizations, or experience in software development.
• Experience in patents or publications at top‑tier peer‑reviewed conferences or journals.

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