Job Description
Join NeuroSync Technologies, a pioneer in neuro-ai integration, as we revolutionize human-computer interaction. As a Senior Machine Learning Engineer, you'll architect cutting-edge neural interfaces that decode cognitive patterns into actionable data. Our interdisciplinary team combines neuroscience expertise with scalable ML infrastructure to develop FDA-cleared diagnostic tools. This role offers unparalleled opportunity to shape the future of bio-intelligent systems while working alongside world-class neuroscientists and distributed computing specialists.
Responsibilities
- Design and productionize deep learning models for real-time neurosignal processing
- Collaborate with neuroscientists to translate research requirements into ML architectures
- Optimize TensorFlow/PyTorch pipelines for low-latency edge deployment
- Lead A/B testing frameworks for neural interface accuracy improvements
- Develop automated data pipelines for multimodal neuroimaging datasets
- Mentor junior engineers in responsible AI development practices
Qualifications
- MS/PhD in Computer Science, Neuroscience, or related quantitative field
- 5+ years building production ML systems with Python/C++
- Expertise in deep learning frameworks (TensorFlow/PyTorch) and GPU acceleration
- Published research in neural decoding or brain-computer interfaces preferred
- Experience with cloud ML deployment (AWS SageMaker/GCP Vertex AI)
- Strong understanding of biomedical signal processing techniques
- Proven track record of optimizing models for edge devices