Job Description
Join NeuroSynth Labs at the forefront of 2026's AI revolution! We're seeking a visionary Senior AI Research Engineer to architect next-generation neural networks that will redefine human-computer interaction. Our cutting-edge lab combines quantum computing principles with biologically-inspired algorithms to create self-learning systems. This role offers unparalleled opportunities to publish groundbreaking research and collaborate with Nobel laureates. Enjoy competitive equity packages, flexible work arrangements, and a state-of-the-art workspace in downtown San Francisco. Your work will directly impact industries from healthcare to autonomous systems.
Responsibilities
- Design and implement novel deep learning architectures for unsupervised learning systems
- Lead quantum-AI hybrid algorithm development for real-time processing
- Collaborate with cross-functional teams to deploy AI solutions in production environments
- Author peer-reviewed publications for top-tier AI conferences
- Mentor junior researchers and drive technical innovation
- Optimize models for edge deployment in IoT ecosystems
- Contribute to open-source AI frameworks with 50k+ GitHub stars
Qualifications
- PhD in Computer Science, Machine Learning, or related field (or equivalent experience)
- 5+ years developing production-grade deep learning systems
- Expertise in PyTorch/TensorFlow and distributed computing frameworks
- Published research at NeurIPS/ICML/ICLR conferences
- Strong background in reinforcement learning and neural architecture search
- Experience with quantum computing APIs (Qiskit/Cirq)
- Proficiency in MLOps tools (MLflow, Kubeflow)
- Track record of shipping AI products at scale