Job Description
Join NeuroEdge Dynamics at the forefront of 2026's AI revolution! We're seeking a visionary AI Research Scientist to pioneer breakthroughs in neural networks and human-machine symbiosis. Our multidisciplinary team in San Francisco is developing the next generation of adaptive AI systems that will redefine industries by 2026. This role offers unparalleled access to cutting-edge infrastructure, collaboration with Nobel laureates, and the opportunity to publish groundbreaking research in top-tier journals.
What You'll Experience:
- State-of-the-art lab facilities with quantum computing access
- Annual research budget of $500,000+ for experimental projects
- Equity package in a fast-growing unicorn startup
- Flexible hybrid work policy with global collaboration opportunities
Responsibilities
- Lead R&D initiatives in explainable AI and ethical machine learning frameworks
- Develop novel neural architectures for 2026-era autonomous systems
- Collaborate with cross-functional teams to prototype AI solutions for healthcare and climate modeling
- Author peer-reviewed publications and present findings at NeurIPS/ICML
- Mentor junior researchers and drive innovation sprints
- Secure patents and strategic partnerships with academic institutions
Qualifications
- PhD in Computer Science, AI, or related field with 3+ years industry experience
- Published research in top-tier conferences (NeurIPS, ICML, CVPR)
- Expertise in PyTorch/TensorFlow and distributed training frameworks
- Strong background in reinforcement learning or federated learning
- Proven track record of shipping production-level ML systems
- Understanding of AI ethics frameworks and responsible AI development
- Experience with quantum computing algorithms (Qiskit, Cirq)