Job Description
Join NeuroSynth Labs at the forefront of 2026's technological revolution. We're pioneering quantum-neural interfaces that will redefine human-computer symbiosis. As our Senior AI/ML Engineer, you'll architect next-generation cognitive systems that process petabytes of real-time data while maintaining ethical AI governance.
Our state-of-the-art lab in downtown San Francisco offers unparalleled resources for developing autonomous reasoning frameworks and adaptive neural networks. You'll collaborate with Nobel laureates and Silicon Valley visionaries to build systems that learn, evolve, and self-optimize beyond conventional programming paradigms.
Responsibilities
- Design and implement quantum-resistant ML algorithms for real-time cognitive processing
- Lead development of adaptive neural networks that self-organize and evolve
- Architect distributed AI systems processing 10M+ data points per second
- Establish ethical AI governance frameworks for autonomous decision-making
- Mentor junior engineers in advanced tensor calculus and quantum computing principles
- Optimize model inference for edge deployment in IoT ecosystems
- Publish breakthrough research in Nature/Science journals
Qualifications
- PhD in Machine Learning or Quantum Computing with 5+ years industry experience
- Expertise in TensorFlow/PyTorch and quantum computing frameworks
- Published papers in top-tier AI conferences (NeurIPS, ICML)
- Proficiency in C++/Python for high-performance computing
- Experience with federated learning and differential privacy
- Knowledge of quantum annealing and superconducting qubits
- Strong background in neuromorphic computing architectures