Job Description
Join NeuroSync Technologies at the forefront of 2026's AI revolution! We're pioneering next-generation neural interfaces and autonomous systems that redefine human-machine collaboration. As an AI/ML Research Engineer, you'll architect breakthrough algorithms powering our quantum-optimized neural networks and adaptive learning platforms. Work in our state-of-the-art lab where your innovations directly shape the future of cognitive computing.
What you'll achieve:
- Develop novel deep learning architectures for real-time multimodal data processing
- Lead research in explainable AI and ethical autonomous systems
- Collaborate with neuroscientists to decode brain-computer interfaces
- Scale models to handle petabyte-scale edge computing workloads
Responsibilities
- Design and implement cutting-edge ML pipelines for predictive analytics
- Optimize neural networks for quantum computing environments
- Conduct A/B testing on adaptive learning algorithms
- Author whitepapers on federated learning advancements
- Mentor junior engineers in MLOps best practices
- Secure patents for novel AI hardware-software co-designs
- Interface with hardware teams for neuromorphic chip integration
Qualifications
- PhD in Computer Science/ML or equivalent experience
- 5+ years with TensorFlow/PyTorch and distributed training
- Expertise in reinforcement learning for robotics
- Published research in top-tier AI conferences (NeurIPS, ICML)
- Proficiency in quantum computing frameworks (Qiskit, Cirq)
- Strong background in differential privacy and federated learning
- Experience with neuromorphic computing hardware (Intel Loihi, IBM TrueNorth)
- Security clearance or ability to obtain (for DoE projects)