Profound
Profound is seeking a Post-Training Engineer to transform proprietary answer-engine data into high-quality training datasets and models that enhance AI marketing capabilities. The role involves building and iterating on SFT, preference optimization, and RL pipelines while designing reward signals that align with customer value. The engineer will train models for tool use and long-horizon agentic workflows, ensuring they perform effectively in production for Fortune 500 marketing teams.
Headquarters
New York, New York, United States
Company Size
1-10 employees
Founded
2024
Profound helps brands gain visibility in AI-generated answers, optimize their presence in LLM-based answer engines, and stay competitive in the zero-click world.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Profound.
Sr. Model Engineer, Post-Training & RL
xAI
Member of Technical Staff in Post-Training Data Infrastructure
Cohere
Research Intern, Agent RL Training
NewsBreak
Post-Training Researcher
Vetto AI
Member of Technical Staff - Research Engineer, Post-training
preference model
LLM Engineer – Remote
Bright Vision Technologies