Job Description
Join Neural Dynamics Labs at the forefront of AI innovation in 2026. We're seeking visionary AI Research Scientists to develop breakthrough neural networks and quantum-optimized algorithms that will redefine human-computer interaction. Our interdisciplinary team collaborates with Fortune 500 partners to solve existential challenges in climate modeling, personalized medicine, and autonomous systems. Enjoy state-of-the-art facilities, unlimited research budget, and equity in a pre-IPO unicorn.
What You'll Accomplish: Your work will directly impact billions of lives through our patented Neuro-Symbolic Integration Framework. Present findings at top-tier conferences like NeurIPS and ICML, publish in Nature AI, and mentor the next generation of AI pioneers.
Responsibilities
- Design and implement novel deep learning architectures for multi-modal data fusion
- Lead quantum machine learning experiments on D-Wave 7000 systems
- Develop ethical AI governance frameworks aligned with IEEE 7000 standards
- Collaborate with robotics teams to deploy embodied AI solutions
- Secure $5M+ in NSF and DARPA research grants
- Author 3+ peer-reviewed publications annually
- Mentor 2 PhD researchers and 3 ML engineers
Qualifications
- PhD in Computer Science, Mathematics, or related field (2020-2026 graduates encouraged)
- 5+ years experience with PyTorch/TensorFlow and distributed training
- Published top-tier conference papers (NeurIPS, ICML, CVPR)
- Expertise in reinforcement learning and meta-learning
- Familiarity with quantum computing algorithms (QAOA, VQE)
- Strong track record of open-source contributions (GitHub stars > 1K)
- Experience with MLOps pipelines and Kubernetes orchestration