Founding MLOps Data Platform 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 MLOps / Data Platform Engineer to build the data and ML infrastructure behind our non-invasive neural interface. You will own the systems that ingest version and serve large-scale neural data making model training fast reproducible and scalable from dataset construction and orchestration through distributed training and deployment.

This is a hands-on role for someone who enjoys building reliable infrastructure for fast-moving ML and research teams. The role spans data pipelines ML workflows compute infrastructure experiment tracking model deployment and internal tooling while working closely with ML engineers neuroscientists software engineers and product teams.

• Build and maintain the platform for neural data ingestion processing storage and retrieval

• Develop pipelines for dataset generation training evaluation and deployment

• Create tools that help ML engineers and scientists find data run experiments compare models and reproduce results

• Manage cloud and GPU compute for scalable ML workloads

• Improve data quality metadata versioning monitoring and traceability

• Work with software and ML teams to integrate models into the platform

• Help define standards for reliability reproducibility privacy and security

• 5 years of experience building production-grade MLOps and data infrastructure

• Strong software engineering experience especially in Python

• Experience with cloud infrastructure containers CI/CD and production systems

• Experience supporting GPU workloads or distributed training

• Experience with ML tooling for training evaluation tracking or deployment

• Strong understanding of data quality monitoring versioning and reproducibility

• Strong ownership practical problem-solving skills and attention to detail

• Experience with time-series data such as biosignals sensor data audio video or robotics

• Experience with real-time streaming edge buffering device-to-cloud synchronization or intermittent connectivity

• Experience in health medical device regulated privacy-sensitive or research 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