Applied Science Manager, Personalization

Amazon; Pisa; In loco; EUR 80.000 - 120.000; Tempo pieno

Descrizione del lavoro

A leading tech company in Pisa is seeking an Applied Science Manager to lead a team in LLM-based personalization research. The role involves setting technical vision, managing scientists, and collaborating with engineering and product teams for impactful solutions. Candidates should possess a PhD or Master's degree with extensive experience in applied research and team management. This opportunity allows you to influence the future of e-commerce through innovative technology at scale.

Competenze

• PhD, or Master's degree and 6+ years of applied research experience.
• 3+ years of scientists or AI/machine learning engineers management experience.
• 3+ years of experience leading teams that build and deploy ML models for business applications.

Mansioni

• Lead a team of scientists in LLM-based personalization.
• Set the technical vision and drive the research agenda.
• Partner with engineering and product teams to translate research into impact.

Conoscenze

Applied research

Machine learning management

Team leadership

Strategic thinking

Effective communication

Formazione

PhD or Master's degree

Descrizione del lavoro

Applied Science Manager, Personalization

Job ID: 3144872 | Amazon Development Center (Tel Aviv)

Are you a scientist interested in pushing the state of the art in Information Retrieval, Large Language Models and Recommendation Systems? Are you interested in innovating on behalf of millions of customers, helping them accomplish their every day goals? Do you wish you had access to large datasets and tremendous computational resources? Do you want to join a team of capable scientist and engineers, building the future of e-commerce? Answer yes to any of these questions, and you will be a great fit for our team at Amazon.

Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, generative AI, large-scale data systems, and user experience design to deliver the best shopping experiences for our customers. Our team is building next-generation personalization systems powered by Large Language Models. We are tackling novel research challenges to help customers discover products they'll love - at Amazon scale and latency requirements. We are a team uniquely placed within Amazon, to have a direct window of opportunity to influence how customers will think about their shopping journey in the future.

As an Applied Science Manager, you will lead a team of scientists working at the frontier of LLM-based personalization. You will set the technical vision, drive the research agenda, and ensure your team delivers production-ready solutions. You will hire, mentor, and develop world-class scientists while fostering a culture of innovation and scientific rigor. You will partner closely with engineering and product teams to translate ambitious research into customer-facing impact, and represent your team's work to senior leadership.

Please visit https://www.amazon.science for more information.

Basic Qualifications

• PhD, or Master's degree and 6+ years of applied research experience
• 3+ years of scientists or AI/machine learning engineers management experience
• 3+ years of experience leading teams that build and deploy ML models for business applications
• Experience leading applied research in one or more of: Recommendation Systems, Information Retrieval, NLP, or Large Language Models
• Demonstrated ability to think strategically, communicate effectively (written and verbal) with senior leadership, and drive cross-team collaboration

Preferred Qualifications

• Experience with LLM training, fine-tuning, or adaptation (e.g., tokenizer modification, domain adaptation)
• Experience with sequential recommendation, user intent/mission modeling, or behavioral modeling

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