Senior Deep Learning Scientist- DVPS

Pi School; Roma; In loco; EUR 45.000 - 65.000; Tempo pieno

Vantaggi offerti da questo lavoro

Fresh fruit and snacks

Access to pool and Turkish bath

Sports activities: gym and pilates

Free time between tasks for personal projects

Access to Pi Campus parties

Descrizione del lavoro

Pi School in Rome is seeking a Senior Deep Learning Scientist to lead research in multimodal models for a €29M project starting in July 2025. The role involves designing experiments, implementing deep learning architectures, and collaborating with partners.

Candidates should have a PhD or significant industry experience, along with strong programming skills in Python and proficiency in deep learning frameworks like PyTorch or TensorFlow. Benefits include a competitive salary and access to collaborative workspaces.

Competenze

• Experience guiding junior researchers.
• Ability to design and run experiments methodically.
• Strong communication skills and proficiency in English.

Mansioni

• Work with data, compute, and algorithms.
• Design deep learning multimodal neural architectures.
• Guide more junior team members.

Conoscenze

Deep learning

Machine learning

Python programming

HPC management

Formazione

PhD in relevant field

4 years of industry research experience

Strumenti

PyTorch

TensorFlow

Linux/Unix

Git

Descrizione del lavoro

About Pi School

Pi School is on a mission to empower businesses and professionals to leverage AI’s transformative capabilities. We believe technology should be an enabler, not a barrier, and it should empower individuals and businesses to grow, innovate, and stay connected. We strive for a world where AI and human potential coexist harmoniously, reshaping the way we work, learn, and prosper. Born in 2017 from the expertise of Translated, an industry pioneer with over two decades of leadership in AI + human translation, Pi School has helped over 100 companies integrate AI solutions to improve their operations, enhance decision-making, and achieve sustainable growth.

Pi School remains at the forefront of the ever‑evolving AI landscape and collaborates with prominent research centres and organisations worldwide, such as the European Space Agency (ESA) and the European Commission, to harness AI for both cutting‑edge research and practical solutions, driving progress in science and beyond. Our approach is founded on purposeful, impactful work, leveraging technology as a force for good.

Learn more about our company: https://picampus-school.com/.

Senior Deep Learning Scientist – Rome

We are looking for a Senior Deep Learning Scientist to work in our office in Rome. Pi School has just been awarded a grant on DVPS, a 29M€, 4‑year collaborative research project starting in July 2025. DVPS develops the science of multimodal foundation models and deploys them on problems in Earth observation, language and cardiology. The project is endowed with computing resources matching its ambition, estimated to run on 30M GPU‑hours provided by EuroHPC on major Exascale and Petascale compute infrastructure in Europe. All research outcomes of DVPS, such as trained models, datasets, and evaluation benchmarks, will be open‑sourced on HuggingFace.

Responsibilities

• Work with data, compute and algorithms
• Design deep learning multimodal neural architectures
• Design experiments, implement them in code, run them on large (GPU on HPC) compute, and run evaluations
• Monitor and benchmark the state of the art
• Guide more junior team members such as PhD students and interns
• Coordinate with partners on the research roadmap
• Adapt the project's pace to rapid scientific development in the field
• Organize publications and open‑sourcing efforts

Requirements

• Completed PhD or 4 years of industry research experience in a relevant field of deep learning, machine learning, or applied domains (preferably language, clinical medicine, robotics, vision, audio)
• Experience guiding junior researchers, defining a research project and conducting experiments
• Ability to design and run experiments methodically, analyse results, and iterate quickly
• Strong communication skills and proficiency in English
• Experience documenting technical work and research findings

Technical Skills

• Excellent programming skills in Python
• Proficiency in deep learning frameworks (PyTorch or Tensorflow)
• Experience in Linux/Unix environments
• Hands‑on experience with transformer architectures and the HuggingFace ecosystem
• Experience training and fine‑tuning language models using libraries like Axolotl, Unsloth, or similar
• Familiarity with at least one modality deeply (language, vision, or audio)
• Ability to translate AI research papers into practical implementations
• Experience using version control (Git) and experiment tracking tools (e.g. MLflow)
• Hands‑on experience running GPU experiments (HPC or cloud: AWS, GCP, RunPod, Lambda Labs)

Bonus Points

• Strong in GPU training and inference optimisation
• Polyglot
• Open‑source contributions
• Published at tier‑1 ML/AI conferences such as NeurIPS, ICML, ICLR, ACL, EMNLP, CVPR, ICCV

Our Office

Pi School is hosted at Pi Campus, a working environment immersed in nature. Six 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.

Compensation and Benefits

Based on a standard level of experience, the offered salary typically ranges between €45,000.00 and €65,000.00. The actual package depends on factors such as location, scope of responsibilities, and performance. Compensation generally grows quickly as experience leads to greater contributions. Exceptionally strong candidates may be offered salaries above this range to acknowledge their higher potential impact.

• Fresh fruit and snacks
• Access to the pool and Turkish bath
• Sports activities: gym and pilates
• Free time between tasks to work on personal projects
• Access to Pi Campus parties and gatherings

Diversity

At Pi School, we proudly embrace and celebrate each individual’s unique qualities in our team, regardless of race, sexual orientation, gender identity, or other differences. We recognise 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.