Founding ML Engineer — Real-Time Neural Interface AI

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

Avantages offerts par ce poste

Equity package

Full health coverage

100% reimbursement of public transport

Meal vouchers

New MacBook Pro

RTT

Résumé du poste

Noïa Labs is an early-stage neurotechnology company building the next generation of human-AI interfaces. We decode human intent from brain signals in real time to control AI systems, with models trained across many users.

The Machine Learning Engineer will design, train, evaluate, and deploy models that learn from neural time-series data, collaborating with BCI researchers and product engineers to ship robust, real-time solutions.

Qualifications

• 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, 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.

Responsabilités

• 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.

Connaissances

PyTorch

JAX

TensorFlow

Transformers

Time-series

Reproducible pipelines

Production-grade ML systems

Cloud infrastructure

Description du poste

Noïa Labs is an early-stage neurotechnology company building the next generation of human-AI interfaces. We decode human intent from brain signals in real time to control AI systems, with models trained across many users.

The Machine Learning Engineer will design, train, evaluate, and deploy models that learn from neural time-series data, collaborating with BCI researchers and product engineers to ship robust, real-time solutions.