Founding Machine Learning Engineer
Noïa Labs
Founding Machine Learning Engineer
Noïa Labs
Non-invasive neural interface for human-AI collaboration
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.
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 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 - [email protected]
Noïa Labs builds non-invasive brain-computer interfaces to let people control AI systems using brain signals in real time. Its wearable device carries optimized neural sensors and runs large-scale AI and machine-learning models trained across many users to decode user intent from neural activity. This approach aims to provide a comfortable, reliable wearable that can acquire high-quality brain data for natural, on-the-fly collaboration with AI, without surgical implants. Unlike many competitors, Noïa Labs emphasizes a non-invasive, user-friendly wearable built on a multi-user model base and a hybrid Paris-based team with backing from tier-1 investors. The company’s goal is to expand human-AI interaction by enabling seamless intent decoding to guide AI systems and enable new modes of collaboration.
Explore more opportunities at Noïa Labs