Job Description
Join QuantumLeap Labs at the forefront of 2026's AI revolution! We're pioneering next-generation neural networks that will redefine human-computer interaction. As an AI Research Engineer, you'll architect breakthrough systems in our state-of-the-art San Francisco lab, collaborating with Nobel laureates and industry disruptors. Shape the future of autonomous systems, quantum machine learning, and ethical AI frameworks that will power industries worldwide.
Why Join Us? Equity in our $1B valuation, unlimited R&D budget, and flexible hybrid work with exclusive access to our 2026 Future Tech Summit. Your work will directly impact how humanity interacts with AI in the coming decade.
Responsibilities
- Design and implement novel deep learning architectures for 2026-era applications
- Lead research in quantum-enhanced machine learning algorithms
- Develop ethical AI governance frameworks for autonomous systems
- Create scalable pipelines for multimodal data fusion (text, vision, quantum)
- Collaborate with hardware teams to optimize AI-quantum co-design
- Publish breakthrough research in top-tier AI journals/conferences
- Mentor junior researchers in next-gen AI paradigms
Qualifications
- PhD in AI, Computer Science, or Quantum Computing (MS with exceptional experience)
- 5+ years developing production-level neural networks at scale
- Expertise in PyTorch/TensorFlow with quantum computing integration
- Published research in NeurIPS/ICML/AAAI (2020-2023)
- Proficiency in quantum programming frameworks (Qiskit, Cirq)
- Strong background in differential privacy and AI safety
- Experience with distributed ML on HPC/quantum hybrid systems