Job Description
Join QuantumLeap Labs at the forefront of 2026's AI revolution! We're pioneering next-generation quantum-enhanced machine learning models that will redefine computational boundaries. As an AI Research Scientist, you'll architect breakthrough algorithms in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry disruptors. Shape the future of artificial intelligence while enjoying unparalleled benefits: unlimited learning stipends, flexible hybrid work, and equity in a unicorn-backed startup.
Our mission: Build ethical AI systems that solve humanity's most complex challenges by 2030. This isn't just a job—it's your chance to leave an indelible mark on technological history.
Responsibilities
- Design and implement novel quantum-inspired neural architectures for 2026-era computing paradigms
- Lead cross-functional teams in developing explainable AI frameworks for high-stakes domains
- Publish groundbreaking research in top-tier journals (NeurIPS, ICML, Science)
- Optimize models for edge deployment across quantum-classical hybrid systems
- Mentor PhD candidates in our 2026 AI Fellowship program
- Secure $5M+ in research grants from NSF and DARPA
- Drive ethical AI initiatives with our 2026 Compliance Board
Qualifications
- PhD in Computer Science, Quantum Computing, or related field (2020-2026 graduates encouraged)
- 3+ years publishing in top-tier ML conferences with h-index >15
- Expertise in PyTorch/TensorFlow with quantum simulation frameworks (Qiskit, Cirq)
- Proven experience scaling models to 10M+ parameter architectures
- Strong background in differential privacy and federated learning
- Portfolio demonstrating deployed AI systems in production environments
- Ability to secure US government research clearances (preferred)