Sr. Applied Scientist, Ssg Science...

Amazon; Pisa; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

A leading global technology company in Pisa is looking for a Sr. Applied Scientist to develop cutting-edge Gen AI models for consumer products. The role involves collaborating with engineers to optimize machine learning solutions and contribute to innovative projects that enhance device performance. Ideal candidates will have extensive experience in machine learning and hold a relevant advanced degree. This position offers the opportunity to work in a fast-paced environment with a commitment to innovation and excellence.

Competenze

• 3+ years of building machine learning models for business applications.
• PhD or Master's degree and 6+ years of applied research experience.
• Experience programming in Java, C++, Python or related languages.

Mansioni

• Quantize, prune, distill, finetune Gen AI models for edge platforms.
• Analyze deep learning workloads and guide mapping to Neural Edge Engine.
• Collaborate with engineers and scientists to develop ML-centric solutions.

Conoscenze

Machine learning model building

Deep learning methods

Programming in Python

Collaborative skills

Formazione

PhD or Master's degree

Strumenti

R

Tensorflow

Spark MLLib

Descrizione del lavoro

Key job responsibilities

Sr. Applied Scientist, SSG Science... Amazon•Pisa, Toscana, IT

Amazon Devices is an inventive research and development company that designs and engineer high-profile devices like the Kindle family of products, 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 on edge for our consumer products. We are looking for exceptional scientists to join our Applied Science team and help develop the next generation of edge models, and optimize them while doing co‑designed with custom ML HW based on a revolutionary architecture. Work hard. Have Fun. Make History.

What will you do?

• Quantize, prune, distill, finetune Gen AI models to optimize for edge platforms
• Fundamentally understand Amazon’s underlying Neural Edge Engine to invent optimization techniques
• Analyze deep learning workloads and provide guidance to map them to Amazon’s Neural Edge Engine
• Use first principles of Information Theory, Scientific Computing, Deep Learning Theory, Non Equilibrium Thermodynamics
• Train custom Gen AI models that beat SOTA and pave path for developing production models
• Collaborate closely with compiler engineers, fellow Applied Scientists, Hardware Architects and product teams to build the best ML‑centric solutions for our devices
• Publish in open source and present on Amazon's behalf at key ML conferences - NeurIPS, ICLR, MLSys.

Basic 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

Preferred Qualifications

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.

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