Job Description
Join NeuroSync Labs at the forefront of 2026's AI revolution! We're pioneering quantum neural networks and autonomous system intelligence that will redefine human-computer interaction. As an AI Research Engineer, you'll architect breakthrough solutions in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry disruptors. Our team is building the infrastructure for tomorrow's cognitive computing paradigm, offering unparalleled opportunities to shape the future of artificial intelligence.
Responsibilities
- Design and implement next-gen quantum neural networks for 2026-era autonomous systems
- Lead R&D in adaptive machine learning architectures with real-time optimization capabilities
- Develop ethical AI frameworks ensuring alignment with human values in complex decision-making scenarios
- Create scalable edge-computing solutions for distributed AI ecosystems
- Collaborate on cross-functional projects integrating AR/VR interfaces with cognitive AI systems
- Pioneer novel federated learning protocols for secure multi-party AI training
- Author breakthrough research papers for top-tier AI conferences and journals
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years industry experience
- Expertise in PyTorch/TensorFlow and quantum computing frameworks (Qiskit, Cirq)
- Published research in top-tier AI conferences (NeurIPS, ICML, ICLR)
- Proficiency in distributed systems and high-performance computing environments
- Deep understanding of reinforcement learning and evolutionary algorithms
- Experience with ethical AI frameworks and bias mitigation techniques
- Strong background in computational neuroscience or neuromorphic computing
- Portfolio demonstrating 3+ open-source AI projects with 1K+ GitHub stars