Labelbox is looking to develop cutting-edge systems and methods to create, analyze, and leverage high-quality human-in-the-loop data for frontier model developers.
Requirements
- Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or related field
- Proficiency in programming languages such as Python
- Experience with deep learning frameworks (e.g., PyTorch, JAX, TensorFlow)
- Deep understanding of frontier models (e.g., large language models, multimodal models), state-of-the-art post-training methods, and their human data requirements
- Track record of designing robust data quality measurement and refinement systems for improving model performance
- Excellent research skills with a track record of publications in top-tier AI/ML venues
- Adept at interpreting research literature and quickly turning new ideas into prototypes
Responsibilities
- Conduct cutting-edge research on advanced methods for aligning human preferences with AI systems
- Design and develop rigorous systems to measure, enhance, and leverage the quality of human-in-the-loop data for AI training
- Create AI-assisted tools that incorporate active learning and adaptive sampling techniques to increase the efficiency and effectiveness of the human data labeling process
- Investigate the impact of different types of human feedback on model performance and alignment
- Develop and implement novel algorithms for learning from human preferences and for optimizing the human feedback collection process
- Collaborate with engineering and product teams to integrate research findings into Labelbox's product suite
- Publish research findings in top-tier academic journals and present at leading AI conferences
Other
- At least 3 years of experience addressing sophisticated ML problems with successful delivery to customers
- Excellent communication skills and ability to collaborate in a multidisciplinary team
- Strong analytical and problem-solving abilities
- Ph.D. or Master's degree in Computer Science, Machine Learning, AI, or related field
- Annual base salary range: $220,000—$300,000 USD
