Senior Deep Learning Scientist- DVPS

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78bzqi

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)

Premio 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.

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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/78bzqi