Deep Learning Scientist

7 mesi fa

Roma, Italia Translated Srl A tempo pieno

**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 and frequently sponsor not only top-tier conferences, such as _NeurIPS_, _ICML_, _ICLR_, _ACL_ and _EMNLP_ but also open source implementations such as _Meta's Voicebox_. Our scientific innovations quickly make it to production and have a measurable impact on our operations._

**We’re looking for a Deep Learning Scientist **to join the Translated AI Research team in our HQ in Pi Campus, Rome.

**What You’ll Do**
Together with another Deep Learning Scientist and a PhD student, you will be working on the DataTools4Heart (DT4H) project, collaborating closely with clinical partners and other research groups across Europe to develop innovative machine learning solutions for cardiovascular healthcare.

**Context**

At Translated, we are committed to leveraging cutting-edge machine learning to advance cardiovascular healthcare through our involvement in the DataTools4Heart project. This European Commission funded initiative aims to improve the diagnosis and treatment of cardiological diseases by developing a privacy-preserving cardiology data toolbox. The project brings together sixteen research groups and clinical organizations across Europe, focusing on multilingual natural language processing, federated learning, and differential privacy.

**Our work on DT4H**: Our contributions to the DataTools4Heart project involve several challenging and impactful tasks, such as:

- Researching privacy-preserving methods for Large Language Models and generating realistic synthetic medical data to empower the development of medical AI models.
- Developing Machine Learning models to predict cardiovascular events by processing Electronic Health records (EHRs).
- Training and evaluating of (Large) Language and Machine Translation models specifically for the cardiovascular domain.

We aim to publish our findings in top machine-learning conferences and journals, contributing to the advancement of medical natural language processing and privacy-preserving techniques in healthcare.

In this role, you will be involved in the aforementioned tasks and:

- Conduct research to identify the right algorithms to solve these tasks
- Implement state-of-the-art Deep and Machine Learning algorithms
- Build robust training pipelines
- Design and run experiments
- Evaluate and benchmark your results
- Scrape and prepare the data for your models to learn
- Stay up to date with the latest Deep Learning advances
- Present your results to other team members, management and fellow researchers from the consortium
- Prepare and publish research findings in top machine-learning conferences and journals

**Qualifications Required**:

- Recent graduate from a master's or PhD program in relevant STEM discipline such as computer science, data science or mathematics
- Hands-on experience with Machine and Deep Learning projects including implementation
- Excellent programming skills in Python and familiarity with common Deep Learning libraries such as Pytorch, Huggingface and Scikit-Learn
- Familiarity with Docker and Unix OS, including running GPU experiments
- Interest in carrying out experimental research
- Proactive, goal-oriented self-starter with excellent time management skills

Bonus points if you...
- have experience in medical AI
- are strong in multi-GPU training, GPU training optimization
- are a polyglot
- have open-source contributions

**Headquarters**:
Translated is hosted at Pi Campus, a working environment immersed in nature where 5 luxury villas 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**:
Our working environment is both relaxed and intense. We are passionate about our mission, and our work is highly regarded in our industry.
- Competitive and exciting work environment. You will be surrounded by innovators and experts working at Pi Campus, a venture fund and startup ecosystem. A great environment to grow your skills.
- We host regular tech and entrepreneurship talks and events, in which you can take part as a Pi Citizen.
- Gym
- Swimming Pool
- Kickboxing
- Fitness
- Pilates classes
- Table Tennis
- Football table
- Kitchen and snacks

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