78 Posti di lavoro per Senior Scientist in Italia

Sealed Air designs and delivers packaging solutions that protect essential goods transported worldwide, preserve food, enable e-commerce and digital connectivity, and help create a global supply chain that is touchless, safer, less wasteful, and more resilient. We strive to foster a caring, high-performance growth culture that will deliver consistent, sustainable profitable growth and accelerate our performance – a culture where accountability is clear and aligned, and where we reward business outcomes and impact. In 2024, Sealed Air generated $5.4 billion in revenue and had approximately 16,400 employees distributing products and services to 117 countries / territories around the world. To learn more, visit

Position Purpose

As part of the EMEA R&D team, the Senior Scientist mission is to develop new packaging materials by designing new formulations and exploring new extrusion, converting and printing processes with the aim of fulfilling the critical customer requirements and the desired sustainability claims. The Senior Scientist will work within a team of 8 process engineers, will partner with a team of skilled technicians and will work side by side with the R&D Applications team and the R&D Analytical team.

Why do we need you?

• With your technical skills, your chemical and polymer knowledge and hands-on attitude you can innovate and design new packaging materials.
• Your expertise allows you to engage resin suppliers and select the newly released grades suitable for the process you are targeting for the next development.
• You run extrusion trials on our R&D pilot lines together with the technician team members.
• You are able to industrialize newly developed products on industrial extrusion lines placed across our European facilities partnering with the local process engineers.
• You can innovate and generate Intellectual Property opportunities on new formulations, new extrusion processes & technologies, new packaging concepts & methods.
• You make your contribution to delivering profitable growth across the relevant product lines generated by the new product launch.
• You are able to help the production facilities by debugging lines and solving manufacturing problems on existing products.
• You liaise with our internal engineering team.

You engage with sustainability experts with the aim of designing products compliant with the upcoming PPWR regulations.

Core Competencies & Values

Qualifications :

• University degree in Chemistry, Chemical Engineering, Material Engineering or Mechanical Engineering.
• 5+ years work experience in manufacturing companies preferably in the packaging sector or in the extrusion equipment sector.
• Fluent English, second language (French, German or Spanish) would be a plus
• Willingness to travel, mostly in Europe but also in USA / Asia
• Ability to work effectively on projects with cross-functional and cross-cultural teams
• Project Management skills and attitude
• Leadership skills and ability to coordinate a team

What are our core values?

• Integrity
• Determined
• Innovative
• Collaborative

Requisition id : 51788

Relocation : No

Sealed Air is committed to attracting, selecting, and developing talent that reflects the diversity of the communities and customers we serve. We take pride in our selection process to identify, infuse, and grow talent to align with our culture, values, and norms. Sealed Air prioritizes talent development, fostering a culture of continuous growth and career progression. The company is committed to providing equal employment opportunities to all applicants for employment and to all employees, without regard to race, color, religion, gender identity or expression, national origin, age, protected disability, veteran status, or any other protected status in accordance with applicable federal, state and local laws.

Please be cautious of fraudulent recruiting efforts using the Sealed Air name or logo. Sealed Air will never request private information during the application process, such as a Driver's License or Social Security Number. If you have any concerns about information received from SEE during the application process, please reach out to us directly at

About Translated

Translated is on a mission to allow everyone to understand and be understood, in their own language. We are a technology-powered professional translation provider. We partner with over 200 000 professional translators worldwide, in 200 languages. Our 310 000 clients range from the private person who needs their CV translated to the very big, like Uber and Airbnb.

Our progress is largely powered by our ability to leverage scientific progress and realize the best synergy between humans and machines. We invest heavily in R&D, such as LLMs applied to translation, expressive speech synthesis, and privacy-preserving training for translation. We operate as a science-driven startup, so that our scientific innovations quickly make it to production and make a measurable impact on our operations.

The ideal candidate should have a strong enthusiasm for contributing to the design and implementation of Large-scale Language Models for speech-related tasks. Additionally, they should be capable of coordinating technical, communication, and team activities for our Meetween project.

Translated has just been awarded a grant on Meetween , a 7M€, 4-year collaborative research project started in January 2024, which Translated leads. Meetween uses LLMs and multimodal foundation models to enhance human communication.

The project is related to the following research areas: Deep Learning, Large Language and Multimodal models, Machine Translation, Automatic Speech Recognition and Translation, Summarization, AI Digital Assistants. The project offers the opportunity to collaborate with leading speech processing teams from both academia and industry.

With Meetween, we want to "solve speech" : we will build foundation models to model all 3 modalities of speech (text, audio, video including lip movement, facial expression and gestures) in a single architecture. Thanks to transfer learning and conditioning, this is used to implement many speech-related downstream tasks: ASR, zero-shot TTS and voice cloning, speech-to-speech translation, lip reading and lip resync, audio/video mutual reconstruction/enhancement.

We have secured an ambitious computing budget on the Polish HPC infrastructure with hundreds of thousands of A100-hours, in addition to our in-house compute infrastructure of several hundreds of GPUs.

For maximum impact, all research outcomes of Meetween, such as trained models, datasets, evaluation benchmarks, will be open-sourced on HuggingFace .

You will be part of a team of researchers dedicated to Meetween within Translated's AI Research team, which works on several pieces of technology such as Large Language Models, Machine Translation, Speech Synthesis, privacy-preserving Machine Learning. The AI Research team collaborates closely with product and engineering teams and develops the technology to power Translated's next generation of products.

In this role, you will:

• work with data, compute and algorithms
• design of deep learning multimodal neural architectures
• design experiments, implement them in code, run them on large (GPU on HPC) compute, run evaluations
• monitor and benchmark the state of the art
• have the opportunity to give guidance to more junior team members such as PhD students and interns
• coordinate with our partners on our research roadmap
• adapt the project's pace to the rapid scientific development in our field
• organize publications and open-sourcing efforts

Requirements

• completed PhD or 4 years of industry research experience in a relevant field of deep learning, typically language modeling or speech recognition
• excellent programming skills: Pytorch
• familiarity with Docker and Unix OS, including running GPU experiments
• interest in carrying out experimental research
• relevant scientific publications, teaching and research experience
• experience in the industry of speech and language technology
• experience in coordinating a team of researchers
• excellent use of English
• you're strong in multi-GPU training, GPU training optimization
• you're a polyglot
• you have open-source contributions
• you have published at tier-1 ML/AI conferences such as NeurIPS, ICML, ICML, ICASSP, Interspeech, ACL, EMNLP

Translated is hosted at Pi Campus, a working environment immersed in nature where 6 luxury villas in Rome (Italy) have been converted into functional offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups.

Benefits and Perks

• Gym
• Swimming Pool
• Kickboxing
• Water aerobics
• Fitness
• Pilates
• Table Tennis and Football table
• Kitchen and snacks
• Bonuses and incentives for employees who quit smoking, ride a bicycle to work, or adopt a child.

At Translated, we proudly embrace and celebrate each individual's unique qualities to our team, regardless of race, sexual orientation, gender identity, or any other differences. We recognize that these diverse perspectives empower us to overcome challenges, foster innovation, and drive excellence. As an inclusive and equal-opportunity employer, we are committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential.

What was the hardest piece of work you produced using neural networks? Have you implemented algorithms from recent publications?*

What's an important chapter we ought to have in the DVPS textbook "Principles and Practice of Multimodal Foundation Models"?*

1 year ago Be among the first 25 applicants

About Translated

Translated is on a mission to allow everyone to understand and be understood, in their own language. We are a technology-powered professional translation provider. We partner with over 200 000 professional translators worldwide, in 200 languages. Our 310 000 clients range from the private person who needs their CV translated to the very big, like Uber and Airbnb.

About Translated

Translated is on a mission to allow everyone to understand and be understood, in their own language. We are a technology-powered professional translation provider. We partner with over 200 000 professional translators worldwide, in 200 languages. Our 310 000 clients range from the private person who needs their CV translated to the very big, like Uber and Airbnb.

Our progress is largely powered by our ability to leverage scientific progress and realize the best synergy between humans and machines. We invest heavily in R&D, such as LLMs applied to translation, expressive speech synthesis, and privacy-preserving training for translation. We operate as a science-driven startup, so that our scientific innovations quickly make it to production and make a measurable impact on our operations.

The ideal candidate should have a strong enthusiasm for contributing to the design and implementation of Large-scale Language Models for speech-related tasks. Additionally, they should be capable of coordinating technical, communication, and team activities for our Meetween project.

The project: Meetween

Translated has just been awarded a grant on Meetween, a 7M€, 4-year collaborative research project started in January 2024, which Translated leads. Meetween uses LLMs and multimodal foundation models to enhance human communication.

The project is related to the following research areas: Deep Learning, Large Language and Multimodal models, Machine Translation, Automatic Speech Recognition and Translation, Summarization, AI Digital Assistants. The project offers the opportunity to collaborate with leading speech processing teams from both academia and industry.

With Meetween, we want to "solve speech": we will build foundation models to model all 3 modalities of speech (text, audio, video including lip movement, facial expression and gestures) in a single architecture. Thanks to transfer learning and conditioning, this is used to implement many speech-related downstream tasks: ASR, zero-shot TTS and voice cloning, speech-to-speech translation, lip reading and lip resync, audio/video mutual reconstruction/enhancement.

We have secured an ambitious computing budget on the Polish HPC infrastructure with hundreds of thousands of A100-hours, in addition to our in-house compute infrastructure of several hundreds of GPUs.

For maximum impact, all research outcomes of Meetween, such as trained models, datasets, evaluation benchmarks, will be open-sourced on HuggingFace.

What You’ll Do

You will be part of a team of researchers dedicated to Meetween within Translated's AI Research team, which works on several pieces of technology such as Large Language Models, Machine Translation, Speech Synthesis, privacy-preserving Machine Learning. The AI Research team collaborates closely with product and engineering teams and develops the technology to power Translated's next generation of products.

In This Role, You Will

• work with data, compute and algorithms
• design of deep learning multimodal neural architectures
• design experiments, implement them in code, run them on large (GPU on HPC) compute, run evaluations
• monitor and benchmark the state of the art
• have the opportunity to give guidance to more junior team members such as PhD students and interns
• coordinate with our partners on our research roadmap
• adapt the project's pace to the rapid scientific development in our field
• organize publications and open-sourcing efforts
  
  

• completed PhD or 4 years of industry research experience in a relevant field of deep learning, typically language modeling or speech recognition
• excellent programming skills: Pytorch
• familiarity with Docker and Unix OS, including running GPU experiments
• interest in carrying out experimental research
• relevant scientific publications, teaching and research experience
• experience in the industry of speech and language technology
• experience in coordinating a team of researchers
• excellent use of English
  
  

• you're strong in multi-GPU training, GPU training optimization
• you're a polyglot
• you have open-source contributions
• you have published at tier-1 ML/AI conferences such as NeurIPS, ICML, ICML, ICASSP, Interspeech, ACL, EMNLP
  
  

• Gym
• Swimming Pool
• Kickboxing
• Water aerobics
• Fitness
• Pilates
• Table Tennis and Football table
• Kitchen and snacks
• Bonuses and incentives for employees who quit smoking, ride a bicycle to work, or adopt a child.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Research, Analyst, and Information Technology
• Industries Translation and Localization

Referrals increase your chances of interviewing at Translated by 2x

Greater Rome Metropolitan Area 3 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Si cerca un AI Engineer esperto, con una solida conoscenza e comprovata esperienza in Machine Learning, Deep Learning e AI Generativa, con particolare enfasi sui Large Language Models (LLMs). Il ruolo prevede la progettazione, l'implementazione e l'ottimizzazione di modelli e sistemi AI complessi, inclusi i sistemi di Agentic AI (Agenti Autonomi). Sarà impegnata su progetti innovativi che spaziano dalla comprensione del linguaggio naturale alla generazione di contenuti e all'automazione avanzata.

Responsabilità:

• Progettare, sviluppare e implementare algoritmi e modelli di Machine Learning e Deep Learning.
• Sviluppare e implementare architetture di Agentic AI (Agenti Autonomi) basate su LLM per l'automazione di flussi di lavoro complessi e il problem solving.
• Lavorare con Large Language Models (LLMs) per applicazioni quali la generazione di testo, la sintesi, la traduzione e la comprensione del linguaggio naturale.
• Costruire e ottimizzare architetture di AI generativa per risolvere problemi aziendali complessi.
• Condurre ricerche e sperimentazioni per valutare nuove tecniche e tecnologie AI.
• Collaborare con team di prodotto, data scientists e altri ingegneri per integrare soluzioni AI nei nostri prodotti e servizi.
• Mantenere e migliorare i modelli AI esistenti, garantendo prestazioni e scalabilità.

Requisiti:

Il candidato ideale deve possedere una combinazione di solide competenze tecniche, esperienza pratica nello sviluppo di modelli e familiarità con l'ecosistema dell'AI moderna.

• Laurea Magistrale (o equivalente) in Informatica, Ingegneria Informatica, Intelligenza Artificiale, Data Science, Matematica o Fisica.
• Forte competenza teorica e pratica in Machine Learning e Deep Learning, con esperienza nello sviluppo e nella messa in produzione di modelli.
• Competenze di Elaborazione del Linguaggio Naturale (NLP)
• Comprovata padronanza di almeno un framework di Deep Learning (es. PyTorch, TensorFlow, o JAX).
• Esperienza pratica con Large Language Models (LLMs), incluse tecniche di pre-addestramento, fine-tuning (SFT) e ottimizzazione (es. Quantizzazione, Pruning).
• Agentic AI e MLOps:
• Conoscenza approfondita e/o esperienza di lavoro con i principi e i framework di Agentic AI (es. LangChain, AutoGen, RAG architectures) per la creazione di sistemi multi-agente e l'integrazione di strumenti esterni (tool calling).
• Esperienza con l'infrastruttura MLOps (es. Docker, Kubernetes, MLflow) per la gestione del ciclo di vita dei modelli e la garanzia di prestazioni e scalabilità.
• Eccellente competenza nella programmazione in Python e familiarità con librerie di data science (es. NumPy, Pandas, Scikit-learn).
• Familiarità con le piattaforme cloud (AWS, Azure o GCP, IBM Cloud) e con l'uso di acceleratori hardware (GPU/TPU).
• AI Generativa: Capacità di costruire e ottimizzare architetture di AI generativa

Si cerca un AI Engineer esperto, con una solida conoscenza e comprovata esperienza in Machine Learning, Deep Learning e AI Generativa, con particolare enfasi sui Large Language Models (LLMs). Il ruolo prevede la progettazione, l'implementazione e l'ottimizzazione di modelli e sistemi AI complessi, inclusi i sistemi di Agentic AI (Agenti Autonomi). Sarà impegnata su progetti innovativi che spaziano dalla comprensione del linguaggio naturale alla generazione di contenuti e all'automazione avanzata.

Responsabilità:

• Progettare, sviluppare e implementare algoritmi e modelli di Machine Learning e Deep Learning.
• Sviluppare e implementare architetture di Agentic AI (Agenti Autonomi) basate su LLM per l'automazione di flussi di lavoro complessi e il problem solving.
• Lavorare con Large Language Models (LLMs) per applicazioni quali la generazione di testo, la sintesi, la traduzione e la comprensione del linguaggio naturale.
• Costruire e ottimizzare architetture di AI generativa per risolvere problemi aziendali complessi.
• Condurre ricerche e sperimentazioni per valutare nuove tecniche e tecnologie AI.
• Collaborare con team di prodotto, data scientists e altri ingegneri per integrare soluzioni AI nei nostri prodotti e servizi.
• Mantenere e migliorare i modelli AI esistenti, garantendo prestazioni e scalabilità.

Requisiti:

Il candidato ideale deve possedere una combinazione di solide competenze tecniche, esperienza pratica nello sviluppo di modelli e familiarità con l'ecosistema dell'AI moderna.

• Laurea Magistrale (o equivalente) in Informatica, Ingegneria Informatica, Intelligenza Artificiale, Data Science, Matematica o Fisica.
• Forte competenza teorica e pratica in Machine Learning e Deep Learning, con esperienza nello sviluppo e nella messa in produzione di modelli.
• Competenze di Elaborazione del Linguaggio Naturale (NLP)
• Comprovata padronanza di almeno un framework di Deep Learning (es. PyTorch, TensorFlow, o JAX).
• Esperienza pratica con Large Language Models (LLMs), incluse tecniche di pre-addestramento, fine-tuning (SFT) e ottimizzazione (es. Quantizzazione, Pruning).
• Agentic AI e MLOps:
• Conoscenza approfondita e/o esperienza di lavoro con i principi e i framework di Agentic AI (es. LangChain, AutoGen, RAG architectures) per la creazione di sistemi multi-agente e l'integrazione di strumenti esterni (tool calling).
• Esperienza con l'infrastruttura MLOps (es. Docker, Kubernetes, MLflow) per la gestione del ciclo di vita dei modelli e la garanzia di prestazioni e scalabilità.
• Eccellente competenza nella programmazione in Python e familiarità con librerie di data science (es. NumPy, Pandas, Scikit-learn).
• Familiarità con le piattaforme cloud (AWS, Azure o GCP, IBM Cloud) e con l'uso di acceleratori hardware (GPU/TPU).
• AI Generativa: Capacità di costruire e ottimizzare architetture di AI generativa

Per conto di un nostro cliente attivo nel settore bancario, siamo alla ricerca di un Senior Data Scientist con consolidata esperienza nell’ambito della Generative AI .

La risorsa avrà un ruolo chiave nella definizione e implementazione di soluzioni avanzate di intelligenza artificiale, operando in un contesto complesso e strutturato. Si ricerca un professionista con visione architetturale, capacità di interlocuzione con il cliente e solida maturità professionale.

Principali responsabilità:

• Progettazione di architetture data-driven con focus su soluzioni di Generative AI
• Interazione diretta con il cliente per la raccolta dei requisiti e la definizione delle strategie progettuali
• Traduzione delle esigenze di business in soluzioni tecnologiche scalabili e sostenibili
• Supporto alla governance tecnica e metodologica dei progetti
• Esperienza significativa nel ruolo di Data Scientist in contesti enterprise
• Competenze avanzate in ambito Generative AI (modelli, framework, approcci)
• Capacità di progettazione architetturale e visione sistemica