ML Researcher

AXION is building the bridge between human intent and machine action, focusing on assistive technology that transforms human-computer interaction. As an ML Researcher, you will define and build machine learning systems that translate neural and sensor signals into reliable, real-time user intent.

Responsibilities:

• Design and train state-of-the-art models for decoding intent from neural and physiological signals (e.g., EEG), including multimodal fusion with eye-tracking and contextual signals
• Build end-to-end ML pipelines: dataset design, labeling strategy, preprocessing, augmentation, training, evaluation, and deployment
• Develop algorithms for denoising, artifact rejection, and non-stationary signal modeling to improve robustness across users, sessions, and hardware conditions
• Explore and implement modern architectures (Transformers, state-space models, diffusion/denoising models, self-supervised learning) for time-series and multimodal learning
• Own offline + online evaluation frameworks, including real-time inference constraints (latency, stability, calibration, drift) and metrics aligned with user experience
• Partner closely with hardware and software engineering to integrate models into the product stack and iterate quickly from user feedback and field data
• Help in setting the technical direction for research at AXION: research roadmap, experiments, baselines, ablations, reproducibility standards, and publication strategy where appropriate