10 months ago
Base Salary
$250k - $300k/yr
Responsibilities
- Develop cutting-edge methods for AI alignment, including RLHF.
- Design and deploy systems to measure and enhance human-in-the-loop data quality.
- Create AI-assisted tools to improve data labeling efficiency.
- Investigate the effects of different human feedback types on model performance.
- Develop algorithms to optimize human feedback collection.
- Integrate research breakthroughs into Labelbox’s product suite.
- Engage with customers and the AI community to understand evolving data needs.
- Publish research in top-tier journals and present at conferences.
- Explore new frontiers in human-AI collaboration and data quality.
- Create technical documentation and educational content to establish thought leadership.
Requirements
- Ph.D. or Master’s degree in Computer Science, Machine Learning, AI, or a related field.
- 3+ years of experience solving complex ML challenges.
- Expertise in data quality measurement and refinement systems.
- Deep understanding of frontier AI models and human data strategies.
- Proficiency in Python and experience with deep learning frameworks.
- Track record of publishing in top-tier AI/ML conferences.
- Ability to bridge research and application effectively.
- Strong analytical and problem-solving skills.
- Exceptional communication and collaboration skills.
Benefits
- High-impact environment with rapid career growth opportunities.
- Work at the cutting edge of AI development.
- Hybrid work model with flexibility and collaboration.
- Fast-paced, high-intensity work environment.
- Opportunities for continuous learning and professional development.