Job Description
Join NeuroSync Technologies, a pioneering biotech AI startup revolutionizing neuroscience research. We're seeking a Senior Machine Learning Engineer to architect cutting-edge solutions that decode neural data and accelerate medical breakthroughs. Work alongside world-class neuroscientists and engineers to develop scalable ML pipelines that transform raw brain signals into life-changing insights. This role offers unparalleled opportunity to shape the future of brain-computer interfaces while advancing your career in one of tech's most dynamic fields.
Responsibilities
- Design and implement deep learning models for neural signal processing and pattern recognition
- Collaborate with neuroscientists to translate research requirements into robust ML solutions
- Optimize algorithms for real-time analysis of high-dimensional brain data streams
- Lead development of scalable ML pipelines on cloud platforms (AWS/GCP)
- Conduct rigorous model validation and performance benchmarking
- Document technical specifications and mentor junior team members
- Stay current with breakthroughs in computational neuroscience and AI ethics
Qualifications
- Master's or PhD in Computer Science, Neuroscience, or related quantitative field
- 5+ years experience in production ML systems with neural data
- Expertise in Python, TensorFlow/PyTorch, and signal processing libraries
- Proven track record of deploying ML models in healthcare or research domains
- Strong statistical foundation and experimental design skills
- Experience with cloud infrastructure (AWS/GCP) and containerization (Docker/Kubernetes)
- Excellent communication skills for cross-disciplinary collaboration