Job Description
Join QuantumLeap AI's pioneering team at the forefront of artificial intelligence innovation. We're seeking a visionary Lead AI Research Scientist to architect next-generation machine learning systems that redefine industry standards. In this high-impact role, you'll collaborate with world-class engineers to transform complex data into breakthrough AI solutions. Our state-of-the-art lab in San Francisco offers unparalleled resources for cutting-edge research, including access to quantum computing infrastructure and petabyte-scale datasets. Enjoy competitive compensation, flexible work arrangements, and opportunities to publish in top-tier AI conferences.
Responsibilities
- Design and implement novel AI architectures for NLP and computer vision applications
- Lead cross-functional teams in developing production-ready ML pipelines
- Drive research initiatives in generative AI and reinforcement learning
- Optimize model performance for scalability and real-time inference
- Publish breakthrough research in peer-reviewed journals and conferences
- Mentor junior researchers and establish best practices for AI development
- Collaborate with product teams to align research with commercial objectives
Qualifications
- PhD in Computer Science, Machine Learning, or related field
- 5+ years of industry experience in AI research and development
- Expertise in PyTorch/TensorFlow and distributed training frameworks
- Published record at NeurIPS/ICML/ICLR or equivalent venues
- Strong background in transformer architectures and large language models
- Experience with MLOps and CI/CD for ML systems
- Proven ability to translate research into production solutions