About this role
The Research Scientist, Post-Training position at DatologyAI is located in San Mateo, California, requiring an on-site presence four days a week, and suits an experienced deep learning professional looking to lead foundation model post-training research. This role focuses on developing algorithmic approaches for data curation to enhance model instruction and preference tuning.
Role Overview
DatologyAI seeks a Research Scientist to lead initiatives in post-training data curation for foundation models. The professional in this position will design algorithmic solutions for generating and refining instruction and preference datasets while bridging pre-training and post-training stages. The role requires working autonomously, collaborating with engineering and product teams, and translating research literature into practical product improvements.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
DatologyAI builds data curation software designed to automatically optimize large datasets for machine learning models. The organization has secured $57.5 million across Seed and Series A funding rounds from prominent venture capital firms, technology companies, and industry leaders. The team operates out of San Mateo with an in-office schedule four days per week.
How to Apply
Interested candidates should visit the official DatologyAI careers page to submit an application for this position.
Skills and tech stack
Questions candidates ask
Where is the job located?
The role is based in San Mateo, California, with an in-office requirement of four days a week.
What is the salary range for this role?
The salary ranges from $180,000 to $300,000, determined by job-related skills, experience, and interview performance.
Is a PhD or formal machine learning degree required?
No, candidates do not need a PhD or formal academic training in machine learning.
What benefits are included?
Benefits include fully covered health insurance, a 401(k) with a 4% match, unlimited PTO, 12 weeks of paid parental leave, wellness and learning stipends, daily lunches, and relocation assistance.