Location: San Francisco, CA
Company: Series B AI Data Platform
Join the team powering breakthrough AI innovations amid a transformative period in our company’s evolution. Following a recent strategic investment that values us at $29B+, we’re at the center of the AI data revolution, providing the high-quality training data that powers the world’s most advanced LLMs and foundation models. Our platform processes billions of data points monthly for leading AI companies, government agencies, and enterprises, while our SEAL research initiative sets new standards for AI safety and alignment. As the industry recognizes the critical importance of data quality in AI development, we’re expanding our enterprise solutions and strengthening partnerships to help organizations build trustworthy, production-ready AI systems at unprecedented scale.
What You’ll Do:
- Build ML systems for large-scale data quality assessment and curation
- Develop algorithms for synthetic data generation and augmentation
- Design fraud detection systems using classical ML and LLM-based approaches
- Collaborate with research teams to productionize cutting-edge AI research
Requirements:
- BS/MS in Computer Science, ML, or related field
- 3+ years experience with machine learning in production
- Proficiency in Python, PyTorch/JAX, and cloud platforms (AWS/GCP)
- Experience with LLMs and foundation model development
- Strong software engineering fundamentals
What We Offer:
- $180k-$250k base + equity + benefits
- Work with leading AI companies and research institutions
- Opportunity to impact the development of frontier AI models
- Fast-paced environment with significant growth opportunities
