AI SCIENTIST

Mission In a world where machines—computers, smartphones, wearables—are increasingly capable of performing complex tasks autonomously, the ways we currently instruct them have become a bottleneck, limiting communication bandwidth and our efficiency in shaping the world around us. We are committed to playing a leading role in the next revolution in human-machine interfaces, building systems as transformative as the mouse and keyboard, the graphical user interface, and the touchscreen were before them.

Team

You will join an exceptionally talented and diverse team—collaborative, deeply experienced in the field, and driven to build products that make a real impact on society and that we can all be proud of.

Job Responsibilities

Your core responsibility will be the modeling and software side of developing a novel human-machine interface device that decodes intent from neural, bio-, and physiological non-invasive signals.

Concretely, you will:

- Stay current with recent scientific literature in neuroAI
- Implement and adapt existing models
- Design and implement state-of-the-art decoding (and encoding) models for neural and bio-signals, capable of translating text, actions, and more broadly "intents" into instructions for machines
- Reason from first principles to design novel solutions to open problems in human-machine interfaces, including new AI architectures and pipelines
- Quality-check data and aggregate diverse datasets, both public and private
- Preprocess neural data—multivariate time-series such as EMG, EEG, and invasive neural recordings—and standardize it into common formats
- Integrate (or support the integration of) developed models into proprietary data-acquisition pipelines and decoding systems
- Monitor and track experiments, and write documentation and scientific reports




- Communicate and collaborate closely with the team, brainstorming ideas and implementation paths

Experience

- MSc in computer science, computational neuroscience, bioengineering, physics, mathematics, or a related field (PhD preferred)
- A proven track record of designing, building, and shipping deep learning products—e.g., publications at top-tier venues (NeurIPS, ICLR, Nature-family journals, or similar) and/or the development and ideally deployment of AI models in real-world applications
- Strong proficiency in Python and AI-oriented libraries such as PyTorch, Lightning, Hugging Face, and scikit-learn
- A solid foundation in (bio-)signal processing, algorithms, and software engineering principles
- Excellent communication skills, fluency in English, rigor, and the ability to work effectively with an international team

Preferred:

- Experience with EEG, EMG, or invasive neural recordings, and with data-collection pipelines
- Experience designing, developing, or fine-tuning LLMs or ASR models
- Experience with self-supervised learning and multi-GPU large scale training of deep learning models

Premio:

- Basic web-app development skills, and a good understanding of and taste for design

Compensation

Gross annual salary (RAL) of €50k–€80k, determined by your job-related skills, experience, and relevant education or training.

For candidates based outside Italy, the engagement will be structured as an independent contractor relationship, and the gross compensation can be adjusted accordingly. In specific cases, this arrangement may also be considered for personnel based in Italy, though it is not the default.

Position

Full-time (40h/week), fully remote within Italy/Europe. Occasional on-site presence or travel is required—for integrating models into production systems and attending conferences and events.

📌 AI research scientist (Italia)
🏢 Silenzio
📍 Italia