Post-Training Data Scientist for Foundation Models

datologyai; San Mateo (CA); On-site; USD 180,000 - 300,000; Full time

Benefits offered by this job

Health benefits

401(k) match

Unlimited PTO

Parental leave

WFH flexibility

Relocation aid

Job summary

DatologyAI seeks a Research Scientist to lead post-training data curation for foundation models, designing algorithms to generate and improve instruction and preference data. You will bridge pre-training and post-training data, and turn research ideas into practical products in collaboration with engineers and product teams.

You will pursue end-to-end data curation research, focusing on maximizing post-trained model performance while keeping research grounded in customer needs and real-world

Qualifications

• 3+ years of deep learning research experience.
• Experience with post-training large vision, language, and multimodal models.
• Post-training algorithm development, data curation, or synthetic data methods.

Responsibilities

• Post-training data curation research and data generation/refinement.
• Unify pre-training and post-training data curation for performance gains.
• Translate literature into practical, deployable improvements.
• Drive science aligned with real-world customer needs.

Skills

Deep learning research

Post-training data curation

Experimentation at scale

Tools

PyTorch

Distributed data processing

Job description

DatologyAI seeks a Research Scientist to lead post-training data curation for foundation models, designing algorithms to generate and improve instruction and preference data. You will bridge pre-training and post-training data, and turn research ideas into practical products in collaboration with engineers and product teams.

You will pursue end-to-end data curation research, focusing on maximizing post-trained model performance while keeping research grounded in customer needs and real-world