Founding MLOps - Data Platform Engineer

Description du poste

About Noïa Labs

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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.

Your Mission

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.

What you’ll do

• 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, an

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