Job Description
Join QuantumLeap AI's groundbreaking research division at the forefront of artificial intelligence innovation. We're seeking a visionary Senior AI Research Scientist to develop transformative machine learning solutions that redefine industry standards. Collaborate with elite researchers in our state-of-the-art San Francisco lab while leveraging our $50M compute infrastructure. This role offers unparalleled opportunities to publish in top-tier journals, lead open-source initiatives, and shape the future of generative AI.
Our engineers solve problems ranging from large-scale LLM optimization to ethical AI frameworks. You'll influence product strategy while maintaining academic rigor through our dual-track research pipeline. Enjoy comprehensive benefits including equity, flexible schedules, and dedicated innovation time.
Responsibilities
- Lead research initiatives in generative AI, reinforcement learning, and multimodal systems
- Design and implement novel neural architectures for enterprise-scale applications
- Collaborate with engineering teams to translate research into production-ready solutions
- Publish peer-reviewed papers at NeurIPS, ICML, and other top-tier conferences
- Mentor junior researchers and drive technical strategy for AI product lines
- Develop ethical frameworks for responsible AI deployment
- Contribute to open-source initiatives and build thought leadership
Qualifications
- PhD in Computer Science, Machine Learning, or related field (MS + 5 years experience considered)
- 3+ years of industry experience deploying production ML systems at scale
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and distributed training
- Strong publication record in top-tier ML conferences or journals
- Proficiency in Python, CUDA, and high-performance computing
- Demonstrated experience with LLM optimization and fine-tuning
- Knowledge of MLOps pipelines and cloud deployment (AWS/GCP)
- Excellent communication skills for technical and non-technical audiences