NeuraVia — Chief Technology Officer (unpaid until revenue is produced, Remote)

Help build a novel multimodal AI system for Alzheimer’s progression modeling.

About NeuraVia

NeuraVia is a neurotechnology startup developing an advanced deep learning framework that integrates demographic data, adaptive cognitive test results, and adaptive voice test features to accurately predict Alzheimer’s disease progression. Our team is composed of motivated researchers and engineers focused on applying cutting-edge AI to real-world neurological care.

Role: Chief Technology Officer

Type: Unpaid until revenue is being generated

Time Commitment: 40+ hours per week

Location: Remote

What You’ll Work On

Develop large amounts of realistic synthetic data (including audio and csv data) via generative models from pre-existing data samples
Refine and improve the model architectures for three modalities: cognitive test embeddings, voice test embeddings, and demographic data.
Implement modules including:
Learned encoders and latent-space disentanglement
R-GAT graph encoders for cognitive subdomains
HuBERT-based audio embedding pipelines
Custom latent fusion VAEs using product-of-experts rules
Multimodal diffusion-transformer and LSTM hybrid networks for time-series trajectory prediction
Bayesian heads for uncertainty estimation
Prepare and train these model architectures on vast amounts of realistic synthetic data
Collaborate with the engineering and research teams to containerize experiments and prepare inference-ready MVP modules.

Requirements

At least a bachelor's degree in computer science (AI/ML) or currently enrolled into a college’s bachelors of science program for Computer Science (AI/ML)
Proficiency in Python and PyTorch.
Familiarity with generative modeling, including flow-based models, GANs, retrieval-augmented generation (RAG), and large language models (LLMs).
Understanding of probabilistic modeling, diffusion models, Bayesian methods, and dimensionality reduction techniques
Comprehensive understanding of sequence models (LSTM/GRU), Transformers, and VAEs.
Experience with graph neural networks (GAT/R-GAT) and multimodal fusion methods.
Proficient in cloud computing concepts with experience using AWS
Comfortable reading and implementing academic research papers.
Strong debugging, version control (Git/GitHub), and documentation skills.
Availability of 40+ hours per week with consistent progress updates.

Preferred

Prior experience working on multimodal or neuro-related ML projects.
Exposure to MLOps practices (Docker, continuous monitoring, continuous training, experiment tracking, etc.).

Benefits

Collaborate on a real-world neuro-AI project with technical depth and publication potential.
Gain more experience in full-stack ML research from data generation to architecture design
Eligible for salary and equity compensation upon revenue generation.
Participates in strategic decision-making as part of the executive team.

How to Apply

Interested candidates can apply via LinkedIn Quick

Applications are reviewed on a rolling basis. Please include your GitHub, portfolio, 1–2 examples of relevant ML work or projects, and resume.

NeuraVia, Inc.

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Chief Technology Officer