9 annunci per il ruolo di java - torino, pie (recruiting in corso)

Senior Applied Scientist, Alexa AI
Amazon Development Centre Italy SRL —Torino, Piemonte
- 104.500 € all'anno
- Tempo pieno
- Dottorato di ricerca
- Java
- Laurea magistrale
- Partecipazione azionaria
SENIOR Solution Expert
Italgas —Torino, Piemonte
- 50.000 € - 60.000 € all'anno
- Oracle
- Salesforce
- Inglese
- Lavoro da casa
- Partecipazione azionaria
Data Engineer - GCP
M.C. Engineering Srl —Torino, Piemonte
- 25.000 € - 40.000 € al mese
- Tempo pieno
- Remoto
- Java
- SQL
- Competenze analitiche
Candidatura rapida
Angular Developer Senior
Beasy4BIZ —Torino, Piemonte
- DevOps
- Inglese
- Java
- Lavoro da casa
Candidatura rapida
Senior Software Engineer, Core Experiences - Turin, Italy
Speechify —Torino, Piemonte
- 30.000 € - 80.000 € all'anno
- Remoto
- Java
1 giorno
Delivery Engineer
Tesisquare Spa —Torino, Piemonte
- Da 35.000 € all'anno
- Remoto
- Oracle
- Inglese
- Microsoft Office
Candidatura rapida
Tesi - Progettazione di una piattaforma grafica per l’addestramento di modello AI per l’analisi di dati prova aeronautici
Leonardo SpA —Caselle Torinese, Piemonte
- Inglese
- Java
- Laurea magistrale
Candidatura rapida
Software Senior Engineer
JUG Torino —Torino, Piemonte
- Tempo pieno
- Java
- AWS
- Recruiting
SENIOR Integration Expert
Italgas —Torino, Piemonte
- 50.000 € - 60.000 € all'anno
- Azure
- Salesforce
- Inglese
- Lavoro da casa
- Partecipazione azionaria

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Senior Applied Scientist, Alexa AI

Amazon Development Centre Italy SRL -
Torino, Piemonte

Candidati adesso

Dettagli della posizione

Tempo pieno
104.500 € all'anno

Benefit

Partecipazione azionaria

Qualifiche

Dottorato di ricerca
Java
Laurea magistrale
C++
Machine learning
Deep learning
Natural language processing
Recruiting
Python

Descrizione completa della posizione

DESCRIPTION

As a Senior Applied Scientist in the Alexa AI team, you will define and drive the science roadmap for state-of-the-art conversational AI systems powered by large language models, directly impacting how millions of customers interact with Alexa daily. You'll lead the design of LLM fine-tuning, alignment, and agentic architectures that operate reliably at scale across many languages and devices, owning delivery from research formulation through production deployment.

Working at the intersection of research and production, you'll translate the latest advances into customer-facing features. Your work will span the full ML lifecycle: developing novel evaluation frameworks, building automated training pipelines, and conducting rigorous experimentation across diverse devices and endpoints.

Collaborating with engineering, product, and cross-functional science teams across Amazon, you'll tackle the team's most complex technical challenges while maintaining practical focus on customer value. This role offers the opportunity to publish at top-tier conferences, generate intellectual property, and see your innovations scale to one of the world's most popular voice assistants.

Key job responsibilities
As a Senior Applied Scientist in the Alexa AI team:

Define and drive the science roadmap for conversational AI capabilities powered by large language models
Design, implement, and evaluate novel approaches to LLM fine-tuning, alignment (RLHF, DPO, RLVR), and distillation for production deployment
Architect agentic systems (multi-step reasoning, tool use, planning, and orchestration) that work reliably at scale
Develop evaluation frameworks and methodologies that go beyond standard benchmarks to capture real-world conversational quality
Translate research advances into customer-facing products, working closely with engineering, product, and cross-functional science teams
Own end-to-end delivery of complex, ambiguous research initiatives from problem formulation through experimentation to production deployment, with minimal guidance
Tackle the team's hardest technical problems while maintaining practical focus on customer value and solution generalizability
Advance the team's scientific reputation through high-impact publications and presentations at top-tier internal and external venues, and generate intellectual property through patents

The applicable collective agreement for this role is CBA for employees of Telecommunication Sector. The position is classified at level 6 or above, depending on the candidate’s skills, competences and experience.

The minimum gross annual base salary for this position is listed below. The base salary listed corresponds to working on a full-time basis. For part-time hours, the salary will be pro-rated.

Amazon reserves the right to offer a higher salary and/or level, depending on the candidate's skills, competencies, and experience. Amazon's package may include a sign on payment. In addition, the candidate may be eligible to participate in a restricted stock unit scheme operated independently by Amazon.com Inc. in USA.

Your recruiting team will share final salary and any restricted stock unit scheme if applicable, depending on skills and requirements.

In addition to statutory benefits, and those applicable to the relevant CBA, company supplementary benefits may apply subject to further terms.

Italy- EUR104,500 gross annually.

A day in the life
As a Senior Applied Scientist in the Alexa AI team, your day will involve leading cross-functional collaborations with engineering, product, and science teams to define the technical direction for our conversational assistant. You'll design experiments and review model results that shape the science roadmap, mentor junior scientists, and make high-judgment calls on architecture and deployment trade-offs. Working in a fast-paced, ambiguous environment, you'll own delivery of complex initiatives: from formulating novel research problems to presenting strategic recommendations to senior leadership. Your ability to influence across organizational boundaries will drive measurable customer impact while raising the bar for the experience of millions of customers.

About the team
Alexa AI is building the science and technology behind Alexa+, Amazon's next-generation conversational assistant. Our team works at the intersection of large language models, reinforcement learning from human feedback and verifiable rewards, agentic architectures, and multilingual/multimodal understanding. We operate at massive scale: our models serve customers across dozens of languages and device types. If you want to push the frontier of conversational AI and see your work used by people every day, come join us.

BASIC QUALIFICATIONS

Several years of building machine learning models for business application experience
PhD, or Master's degree
Experience programming in Java, C++, Python or related language
Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

Experience in building large language models for business application
Experience in building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects)
Usage of Generative AI tools to enhance workflow efficiency, with a willingness to learn effective agentic prompting and evaluation practices

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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DESCRIPTION

BASIC QUALIFICATIONS

PREFERRED QUALIFICATIONS

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