Job Description
Join QuantumLeap Labs at the forefront of 2026 technological evolution! We're pioneering next-gen AI solutions that will redefine industries. As a Senior AI Research Engineer, you'll architect breakthrough neural networks and collaborate with Nobel laureates to solve humanity's grandest challenges. Our state-of-the-art incubator offers unparalleled resources to transform theoretical concepts into tangible innovations. What you'll achieve: Develop patent-pending AI algorithms for autonomous systems, lead cross-functional research sprints, and publish groundbreaking papers in top-tier journals. Why us: Equity in a unicorn-backed startup, flexible remote options, and a $50k annual research stipend. Shape the future with us.
Responsibilities
- Design and implement advanced deep learning architectures for predictive analytics
- Lead research initiatives in quantum machine learning integration
- Collaborate with robotics teams to deploy AI in physical systems
- Develop ethical AI frameworks for autonomous decision-making
- Mentor junior engineers in cutting-edge ML techniques
- Secure research grants and publish in Nature/Science journals
- Optimize models for edge deployment in IoT ecosystems
Qualifications
- PhD in Computer Science/AI or equivalent research experience
- 5+ years building production-grade ML systems
- Expertise in PyTorch/TensorFlow and distributed training
- Published papers at NeurIPS/ICML/ICLR conferences
- Proficiency in quantum computing frameworks (Qiskit/Cirq)
- Strong background in reinforcement learning
- Experience with federated learning and privacy-preserving AI
- Track record of open-source contributions with 1k+ GitHub stars