---
title: 'Founding Machine Learning Scientist at Noïa Labs'
canonical: 'https://feeny.ai/job/founding-machine-learning-scientist-noia-labs-paris-kkevfdrrzmpx'
type: 'job'
last_seen: '2026-09-09'
---

# Founding Machine Learning Scientist at Noïa Labs

- **Company:** Noïa Labs
- **Location:** Paris, France
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-06-03
- **Last confirmed live:** 2026-09-09
- **Apply:** https://jobs.ashbyhq.com/noialabs/9b321b20-9803-4a13-83aa-760ce78f5902

## Job description

## ABOUT NOÏA LABS

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

We're tackling one of the most ambitious problems in human-AI interaction: decoding human intent directly from brain signals, in real time and without surgery, to control and collaborate with AI systems.

Our approach combines optimized neural sensors with large-scale AI models trained across many users, a technical challenge that sits at the intersection of neurotechnologies and frontier AI.

Founded by the team behind NextMind (acquired by Snap) and backed by tier-1 investors, Noïa Labs is starting its journey and hiring a team of outstanding engineers and scientists where each person will have a major impact on the product and technology.

## YOUR MISSION

We are seeking a talented Machine Learning Scientist to develop the modeling approaches behind our non-invasive neural interface. You will work on learning from neural and multimodal time-series data to help infer human intent and enable new forms of interaction with AI systems.

This is a hands-on research role for someone who enjoys developing new ML methods, running rigorous experiments, and turning promising ideas into working prototypes. The role spans representation and self-supervised learning, neural decoding, model evaluation, personalization, and real-time adaptation, in close collaboration with BCI scientists, ML engineers, and product teams.

## WHAT YOU’LL DO:

- Develop new ML methods for neural and multimodal time-series data
- Design rigorous experiments, benchmarks, and ablations to evaluate model performance and generalization
- Translate research ideas into prototypes tested on real data and in user studies
- Collaborate with BCI scientists and ML engineers to turn neuroscience-informed modeling ideas into reliable training and inference workflows.

## WHAT WE ARE LOOKING FOR:

- 5+ years of experience in machine learning research, applied ML research, or a related field
- PhD, MS, or equivalent research experience in machine learning, computer science, computational neuroscience, applied mathematics, physics, electrical engineering, or a related field
- Strong experience with deep learning for time-series, sequential, multimodal, or sensor data
- Strong experience with PyTorch, JAX, TensorFlow, or similar frameworks
- Strong understanding of representation learning, self-supervised learning, transformers, generative models, or foundation models
- Experience designing rigorous ML experiments, benchmarks, ablations, and evaluation protocols

## NICE TO HAVE:

- Experience with neural or physiological time-series such as EEG, MEG, ECoG, EMG, eye tracking, PPG, or audio
- Experience with online learning, personalization, calibration, domain adaptation, or transfer learning
- Experience with real-time inference, edge deployment, or low-latency ML systems
- Publications or strong research output in machine learning, computational neuroscience, signal processing, or related fields
- Experience working in a fast-moving startup or research-to-product environment

## BENEFITS & COMPENSATION:

- Equity package
- Full health coverage, employer-paid through Alan
- 100% reimbursement of public transport costs (Paris-based)
- Meal vouchers at €11 per working day, 60% company-funded
- New MacBook Pro
- RTT (extra days off)

Even if you don't check every box in our requirements, we encourage you to apply. We value diverse perspectives and backgrounds, and we're more interested in your potential and passion than a perfect match to our checklist.

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
- [Brain-computer Interface Scientist](https://feeny.ai/job/brain-computer-interface-scientist-noia-labs-paris-tr16nzye2ef0) — 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