Job Description
Join NeuroTech Dynamics at the forefront of computational neuroscience innovation. We're seeking a visionary Senior Machine Learning Engineer to architect AI systems that decode neural data patterns and pioneer breakthroughs in brain-computer interfaces. Collaborate with neuroscientists to transform raw neural signals into life-altering applications while working in Austin's premier tech ecosystem.
Responsibilities
- Design and deploy deep learning models for real-time neural signal processing
- Lead end-to-end ML pipeline development from data ingestion to production deployment
- Collaborate with cross-functional teams to translate neuroscience requirements into scalable solutions
- Optimize algorithms for low-latency inference in embedded medical devices
- Conduct rigorous A/B testing and performance analysis on clinical datasets
- Drive research initiatives in adaptive neural network architectures
Qualifications
- PhD or MS in Computer Science, Neuroscience, or related quantitative field
- 5+ years of production ML experience with TensorFlow/PyTorch
- Expertise in signal processing and time-series analysis
- Proven track record deploying ML models in regulated healthcare environments
- Strong publication record in ML or neuroscience journals
- Experience with cloud-based ML infrastructure (AWS/GCP)
- Excellent communication skills for technical and non-technical stakeholders