Founding Machine Learning Scientist

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

Were 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.

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.

• 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.

  
  

• 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

• 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

• 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 dont check every box in our requirements we encourage you to apply. We value diverse perspectives and backgrounds and were more interested in your potential and passion than a perfect match to our checklist.

In case of any doubts or questions please contact -

Required Experience:

IC