Applied Scientist II, Alexa AI

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

Descrizione del lavoro

A leading tech firm is looking for a talented Applied Scientist to join their Alexa AI team. The role involves prototyping, optimizing, and deploying machine learning algorithms in Generative AI. Candidates should have a Master's or PhD in a relevant field, alongside 2-7 years of experience in deep learning and data science. Strong coding skills in Python and familiarity with Linux and AWS are preferred. The firm promotes an inclusive culture, providing opportunities for collaboration and professional growth.

Competenze

• 2–7 years of experience in deep learning, machine learning, and data science.
• Proficiency in coding and software development focused on machine learning frameworks.
• Understanding of relevant statistical measures and data sets.

Mansioni

• Research and build Proof Of Concepts in AI & ML.
• Collaborate on technically rigorous AI projects.
• Conduct thorough documentation for transparency and reproducibility.

Conoscenze

Deep learning

Machine learning

Data science

Python

Technical communication

Formazione

Master's or PhD in computer science, statistics, or a related field

Strumenti

Machine learning frameworks

Linux

AWS

Descrizione del lavoro

The Amazon Alexa AI team in India is seeking a talented, self-driven Applied Scientist to work on prototyping, optimizing, and deploying ML algorithms within the realm of Generative AI.

Responsibilities

• Research, experiment, and build Proof Of Concepts advancing the state of the art in AI & ML for GenAI.
• Collaborate with cross-functional teams to architect and execute technically rigorous AI projects.
• Thrive in dynamic environments, adapting quickly to evolving technical requirements and deadlines.
• Engage in effective technical communication (written & spoken) with coordination across teams.
• Conduct thorough documentation of algorithms, methodologies, and findings for transparency and reproducibility.
• Publish research papers in internal and external venues of repute.
• Support on‑call activities for critical issues.

Basic Qualifications

• Master’s or PhD in computer science, statistics, or a related field.
• 2–7 years experience in deep learning, machine learning, and data science.
• Proficiency in coding and software development, with a strong focus on machine learning frameworks.
• Experience in Python or another language; command line usage; familiarity with Linux and AWS ecosystems.
• Understanding of relevant statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc.
• Excellent communication skills (written & spoken) and ability to collaborate effectively in a distributed, cross‑functional team setting.
• Papers published in AI/ML venues of repute.

Preferred Qualifications

• Track record of diving into data to discover hidden patterns and conducting error/deviation analysis.
• Ability to develop experimental and analytic plans for data modeling processes, use of strong baselines, and accurately determine cause and effect relations.
• Motivation to achieve results in a fast‑paced environment.
• Exceptional level of organization and strong attention to detail.
• Comfortable working in a fast‑paced, highly collaborative, dynamic work environment.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.