Job Description
Join NeuroTech Innovations at the forefront of artificial intelligence revolution. We're pioneering next-gen neural interfaces that will redefine human-machine collaboration by 2026. As a Senior AI Research Engineer, you'll architect and deploy breakthrough systems transforming healthcare, robotics, and sustainable energy solutions. Our state-of-the-art lab in San Francisco offers unparalleled resources to accelerate your research into practical applications.
Why Join Us?
- $50M R&D fund allocated for 2026 initiatives
- Collaborative environment with Nobel Prize-winning mentors
- Flexible hybrid work with quarterly innovation retreats
- Comprehensive benefits including equity and wellness stipend
Responsibilities
- Design and implement advanced deep learning architectures for real-time neural decoding
- Lead cross-functional teams in prototyping AI-powered medical diagnostic tools
- Develop scalable ML pipelines processing petabyte-scale neuroimaging datasets
- Drive ethical AI frameworks ensuring compliance with 2026 regulatory standards
- Collaborate with quantum computing teams to optimize hybrid AI systems
- Publish findings in top-tier journals and present at global AI conferences
Qualifications
- PhD in Computer Science, AI, or Computational Neuroscience (or equivalent experience)
- 5+ years developing production-level deep learning systems with PyTorch/TensorFlow
- Expertise in transformer architectures and reinforcement learning
- Proven track record deploying AI models in healthcare or robotics domains
- Strong publication record at NeurIPS/ICML/ICLR or equivalent venues
- Experience with high-performance computing (HPC) and distributed training
- Fluency in Python/C++ with containerization expertise (Docker/Kubernetes)