---
title: 'Brain-computer Interface Scientist at Noïa Labs'
canonical: 'https://feeny.ai/job/brain-computer-interface-scientist-noia-labs-paris-tr16nzye2ef0'
type: 'job'
last_seen: '2026-09-09'
---

# Brain-computer Interface Scientist at Noïa Labs

- **Company:** Noïa Labs
- **Location:** Paris, France
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-08
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/noialabs/136a6845-6d54-4b5f-aaa9-b85c67e0229d

## Job description

## BCI SCIENTIST - NEURAL DECODING

## PARIS, HYBRID

Noïa Labs is an early-stage neurotechnology company building the next generation of human-AI interfaces.

We are working on one of the most ambitious problems in human-AI interaction: creating a more natural way for people to control, guide, and collaborate with AI systems by relying directly on brain activity. Our approach combines optimized non-invasive neural sensors with large-scale AI models trained across many users to decode human intent from brain signals, without surgery.

Noïa Labs was founded by the team behind NextMind (acquired by Snap) and is backed by tier-1 investors. We are at the beginning of the journey and are building a team of outstanding engineers and scientists where each person can have a major impact on the product and technology.

## ROLE SUMMARY

We are seeking a talented BCI Scientist to lead the neural decoding efforts behind our non-invasive neural interface. You will work on identifying the brain-state markers that are stable, generalizable, and decodable at scale, and turning neuroscience insight into practical ML-ready approaches.

This is a hands-on scientific role at the intersection of neuroscience and machine learning: you will design experiments, analyze neural and behavioral data, and own the decoding validation pipeline. The role spans experimental design, signal analysis, decoding metrics, user studies, and collaboration with ML and product teams.

## IN THIS ROLE, YOU WILL:

- Develop machine learning models for decoding neural and physiological time-series
- Design experiments, benchmarks, and ablations to evaluate performance, robustness, latency, and generalisation.
- Study how models adapt across users, sessions, tasks, sensors, and contexts
- Work with data-collection teams to define labels, tasks, and annotation protocols for training-ready neural data
- Collaborate with ML engineers to turn promising methods into reliable training and inference workflows

## FOR THIS ROLE, YOU MUST:

- 5+ years of experience in ML, computational neuroscience, or a related field.
- Experience building ML or deep-learning models for time-series data
- Experience with neural or physiological signals such as EEG, MEG, ECoG, EMG, ECG, eye tracking, PPG, or related modalities
- Strong experience with Python and modern ML frameworks such as PyTorch, JAX, or TensorFlow
- Strong understanding of signal processing, statistics, model evaluation, and experimental design
- Experience with personalization, domain adaptation, transfer learning, few-shot learning, or online adaptation
- Experience with real-time inference, edge deployment, or low-latency ML systems
- Experience with MNE, Braindecode, scikit-learn, NumPy/SciPy, or similar tools

## IDEALLY, YOU HAVE:

- Experience with transformers, self-supervised learning, representation learning, foundation models, or multimodal models for neural or sensor data
- Experience translating research into products or deployed systems
- Experience working in a fast-moving startup or research-to-product environment

In case of any doubts or questions, please contact - careers@noialabs.ai

## About Noïa Labs

## Company Overview
- **One-liner**: Noïa Labs is an early-stage neurotechnology company building a non-invasive brain-computer interface that combines optimized neural sensors with large-scale AI models to decode human intent from brain signals.
- **Entity Type**: Private (early-stage startup, backed by tier-1 investors)
- **Headquarters**: Paris, France
- **Founded**: Year not publicly disclosed (founded by the team behind NextMind, which was acquired by Snap in 2022)
- **Founders**: Not publicly disclosed (team previously founded NextMind)

## Core Business
- **Primary industry**: Neurotechnology, Brain-Computer Interfaces (BCI), Human-AI Interaction
- **Target customers**: Not explicitly stated; likely B2C (consumer wearable) and/or B2B (developers, researchers) given the product’s dual nature as a hardware device and an AI platform
- **Mission or purpose statement**: To create a more natural way for people to control, guide, and collaborate with AI systems by relying directly on brain activity, without surgery.

## Products & Services
- **Non-Invasive Neural Interface (wearable device)**: A compact, battery-powered headset that acquires high-quality neural signals in real time. The device combines optimized sensors with large-scale AI models trained across many users to decode intent. The system is designed for low latency, high reliability, and comfortable daily wear.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding not disclosed; backed by tier-1 investors (names not publicly specified)
- **Notable Investors/Partners**: Tier-1 venture investors (specific names not yet public); team previously founded NextMind (acquired by Snap)
- **Growth Signals**: Currently hiring for multiple engineering and scientific roles (Embedded Software Engineer, BCI Scientist, Mechanical Engineer); early-stage with high-impact team; product in development with rapid iteration

## Competitive Advantages
- **Non-invasive BCI**: No surgery required, unlike competitors such as Neuralink, making the technology more accessible and scalable.
- **AI‑first approach**: Uses large-scale AI models trained across many users to decode neural signals, enabling personalization and generalization.
- **Proven team**: Founded by the team behind NextMind, a BCI company that was acquired by Snap, demonstrating deep domain expertise and prior exit experience.
- **Wearable form factor**: Focus on ergonomics, comfort, and manufacturability for a real-world product.

## Strategic Focus
- **Current priorities**: Building the core hardware and software platform for the non-invasive neural interface; scaling the team of engineers and scientists; iterating on sensor integration, real-time decoding, and user studies.
- **Direction for growth**: Moving from prototype to production, refining the AI models for robustness across users and contexts, and eventually bringing a consumer-ready product to market.

## Why Work Here
- **Culture**: Early-stage startup where each person has major impact on product and technology; hands-on roles with fast iteration; collaborative environment across neuroscience, ML, hardware, and product.
- **Remote/Hybrid Policy**: Hybrid model with Paris HQ (roles are listed as “Paris, hybrid”).
- **Notable Perks**: Opportunity to work on one of the most ambitious problems in human-AI interaction; be part of a small, high-caliber team; work on cutting-edge BCI technology from concept to mass production.
- **Engineering Culture**: Emphasis on ownership, practical problem-solving, and attention to detail. Cross-functional collaboration with electrical engineering, ML, and product teams.

## Sources
1. [jobr.pro - Embedded Software Engineer at Noïa Labs](https://jobr.pro/job/41074753/embedded-software-engineer)
2. [bebee.com - Brain-computer Interface Scientist at Noïa Labs](https://bebee.com/fr/jobs/brain-computer-interface-scientist-noialabs-paris-hq--theirstack-723309685)
3. [bebee.com - Mechanical Engineer at Noïa Labs](https://bebee.com/fr/jobs/mechanical-engineer-noia-labs-paris-75--theirstack-717712638)
4. [Jobs.ashbyhq.com - Noïa Labs Careers Page](https://jobs.ashbyhq.com/noialabs)
5. [noialabs.ai - Company Website](http://www.noialabs.ai/)

## Other roles at Noïa Labs

- [Mechanical Engineer](https://feeny.ai/job/mechanical-engineer-noia-labs-paris-qq037x1382yk) — Paris, France
- [Electrical Engineer](https://feeny.ai/job/electrical-engineer-noia-labs-paris-kwfznv3ttrk5) — Paris, France
- [Embedded Software Engineer](https://feeny.ai/job/embedded-software-engineer-noia-labs-paris-4ergvqdgmr3v) — Paris, France
- [Founding MLOps - Data Platform Engineer](https://feeny.ai/job/founding-mlops-data-platform-engineer-noia-labs-paris-7fpnqk7gz001) — Paris, France
- [Founding Machine Learning Scientist](https://feeny.ai/job/founding-machine-learning-scientist-noia-labs-paris-kkevfdrrzmpx) — Paris, France
- [Founding Software Engineer](https://feeny.ai/job/founding-software-engineer-noia-labs-paris-qe965xsjbfvj) — Paris, France
- [Founding Machine Learning Engineer](https://feeny.ai/job/founding-machine-learning-engineer-noia-labs-paris-883jeppt1r63) — Paris, France