Job Description
Shape the Future of Intelligence
Nebula AI Labs is at the forefront of the next industrial revolution. We are seeking a visionary Senior AI Research Scientist to join our elite team in San Francisco. In this pivotal role, you will drive the development of next-generation Artificial General Intelligence (AGI) systems that redefine what is possible for humanity.
Our mission is to build safe, beneficial, and powerful AI. As a Senior Researcher, you will work on cutting-edge models, pushing the boundaries of Deep Learning and Natural Language Processing. You will collaborate with world-class engineers and ethicists to ensure our technology aligns with human values while solving complex global challenges.
Why Join Us?
- Work on high-impact projects with a clear path to global adoption.
- Competitive compensation package and equity opportunities.
- State-of-the-art computing infrastructure and research freedom.
- Flexible remote-first hybrid policy.
Responsibilities
- Lead the research, design, and implementation of novel deep learning architectures for large-scale language models.
- Develop and optimize algorithms for training, fine-tuning, and deploying robust AI systems in production environments.
- Analyze complex datasets to identify trends, patterns, and opportunities for model improvement.
- Collaborate with product and engineering teams to translate theoretical research into scalable, real-world applications.
- Contribute to the open-source community and publish high-impact research papers in top-tier conferences (NeurIPS, ICML, ICLR).
- Mentor junior researchers and PhD candidates, fostering a culture of technical excellence and innovation.
Qualifications
- Ph.D. in Computer Science, Artificial Intelligence, Statistics, or a related quantitative field.
- 5+ years of hands-on experience in applied machine learning research and development.
- Expert proficiency in Python, PyTorch, or TensorFlow, with deep knowledge of CUDA and GPU optimization.
- Proven track record of publishing research and contributing to major machine learning libraries.
- Strong understanding of NLP, Reinforcement Learning, or Computer Vision.
- Excellent communication skills, with the ability to articulate complex technical concepts to diverse stakeholders.