Applied Scientist Torino

Applied Scientist
Torino
Piemonte, Torino

Job ID: 2890565 | Amazon Development Centre Italy SRL

The Devices team seeks an Applied Scientist with a strong background in machine and deep learning to spearhead the advancement and deployment of state-of-the-art ML/RAG systems.

As part of this team, you will collaborate with talented peers to create scalable solutions for an innovative conversational assistant, aiming to revolutionize user experiences for millions of Alexa customers.

Creating reliable, scalable, and high-performance products requires exceptional technical expertise and a sound understanding of the fundamentals of Machine Learning, NLP, LLM, and Problem solving.

This role requires working closely with business, engineering, and other scientists within the team and across Amazon to raise the bar in operational excellence, improving tools and automating workflows.

You will lead high visibility and high impact programs collaborating with various teams across Amazon.

The candidate is self-motivated, thrives in ambiguous and fast-paced environments, possesses the drive to tackle complex challenges, and excels at swiftly delivering impactful solutions while iterating based on user feedback.

Join us in our mission to redefine industry standards and provide unparalleled experiences for our customers.

Key job responsibilitiesAnalyze, understand, and model customer behavior and the customer experience based on large scale data. Build and measure novel online & offline metrics for personal digital assistants and customer scenarios, on diverse devices and endpoints. Create, innovate and deliver deep learning, policy-based learning, and/or machine learning based algorithms to deliver customer-impacting results. Build and deploy automated model training and evaluation pipelines. Perform model/data analysis and monitor metrics through online A/B testing. Research and implement novel machine learning and deep learning algorithms and models. Responsible for on-call duties during peak and non-peak hours, deploying fixes, and handling high-sev issues working with Software Developer Engineers. BASIC QUALIFICATIONSPhD, or a Master's degree and experience in Computer Science, Computer Engineering, Machine Learning or related field. Experience building machine learning models or developing algorithms for business application. Bar raising knowledge of programming languages such as Python or Java, with a strong focus on machine learning frameworks. Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. 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. Fluency in written and spoken English. PREFERRED QUALIFICATIONS5+ years of building machine learning models or developing algorithms for business application experience. Have publications at top-tier peer-reviewed conferences or journals. 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, ability to accurately determine cause and effect relations. Exceptional level of organization and strong attention to detail. Comfortable working in a fast-paced, highly collaborative, dynamic work environment.

#J-18808-Ljbffr