Founding Machine Learning Engineer

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 Engineer to build the models and ML systems behind our neural interface platform. You will play a pivotal role in designing training evaluating and deploying models that learn from neural time-series data.

The role spans model development data pipelines evaluation tooling optimization and deployment. You will work closely with BCI researchers and product engineers to build systems that are accurate scalable and usable in real time. This is a hands-on role for someone who can build reliable ML systems and moves fluidly between research and production.

• Build and maintain scalable ML pipelines for training inference and evaluation

• Train evaluate and deploy models on large-scale neural time-series data.

• Develop tooling to evaluate model quality across users sessions and tasks

• Optimize models for robustness latency and real-time use

• Contribute to data processing benchmarking and automated evaluation workflows

• Collaborate with researchers to turn new modeling approaches into production

• Strong experience with modern ML frameworks (PyTorch JAX or TensorFlow)

• Strong experience with SSL transformers or foundation-model training

• Strong experience with time-series (sensor data audio finance robotics etc)

• Experience building reproducible training and evaluation pipelines.

• Experience building and deploying production-grade ML systems

• Familiarity with cloud infrastructure GPUs and scalable compute environments

• 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