Founding Machine Learning Scientist

Noïa Labs; Paris; Sur place; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Equity package

Full health coverage

Public transport reimbursement (Paris)

Meal vouchers

New MacBook Pro

RTT (extra days off)

Résumé du poste

Noïa Labs is building non-invasive brain-computer interfaces to decode human intent in real time. As a Machine Learning Scientist, you will develop modeling approaches for neural and multimodal data, conduct rigorous experiments, and turn ideas into working prototypes in collaboration with BCI scientists, ML engineers, and product teams.

You will explore representation learning, self-supervised learning, and real-time adaptation, contributing to end-to-end training and deployment while advancing

Qualifications

• 5+ years of experience in machine learning research or related field.
• PhD, MS, or equivalent research experience in ML/CS/related field.
• Strong experience with time-series, sequential, multimodal, or sensor data.
• Proficient in PyTorch, JAX, TensorFlow or similar frameworks.
• Knowledge of representation learning, self-supervised learning, transformers, or foundation models.

Responsabilités

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

Connaissances

Time-series ML

Deep learning

PyTorch/TensorFlow/JAX

Representation learning

Experiment design

Formation

PhD or MS in ML/CS/related field

Outils

PyTorch

JAX

TensorFlow

Description du poste

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 - [e-mail]