Job Description
Join QuantumLeap Labs at the forefront of 2026's AI revolution. We're pioneering next-generation neural architectures that will redefine human-computer interaction. As a Senior AI Research Engineer, you'll architect and deploy scalable machine learning systems solving complex problems in autonomous systems and computational biology. Our cutting-edge research environment empowers you to publish breakthrough papers while building production-ready AI solutions.
Located in San Francisco's innovation corridor, QuantumLeap offers competitive equity packages, flexible work arrangements, and access to our state-of-the-art quantum computing lab. Collaborate with Nobel laureates and disrupt industries through applied AI research.
Responsibilities
- Design and implement novel deep learning architectures for multi-modal data processing
- Lead research initiatives in quantum-enhanced machine learning algorithms
- Develop production-ready AI pipelines serving 10M+ users
- Collaborate with cross-functional teams to deploy ethical AI solutions
- Publish peer-reviewed research in top-tier AI conferences
- Mentor junior engineers in advanced ML techniques
- Optimize models for edge computing and quantum hardware
Qualifications
- PhD in Computer Science, AI, or related field (or equivalent experience)
- 5+ years developing production ML systems with PyTorch/TensorFlow
- Published research at NeurIPS/ICML/ICLR conferences
- Expertise in distributed ML frameworks (Ray, Horovod)
- Strong background in quantum computing principles
- Proficiency in C++ and GPU optimization
- Experience with MLOps tools (MLflow, Kubeflow)
- Track record of deploying high-impact AI products