# Founding Research Scientist, Applied AI at Agentio

- Company: Agentio
- What the company does: Agentio automates campaigns end to end, enabling advertisers to scale creator programs across Meta, YouTube, and beyond in hours, not months, while connecting creators with the world’s top brands. Backed by Antler.
- Company website: https://agentio.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: New York, NY
- Work setup: On-site
- Pay: $195K to $400K base salary per year (USD)
- Posted: 2026-09-21
- Apply by: 2026-11-05
- Apply: https://jobs.ashbyhq.com/agentio/8d96cb9b-24bd-4655-98f6-3adcf993494e
- Page: https://www.1752.vc/careers/jobs/agentio-founding-research-scientist-applied-ai/

## About the role

Multimodal intelligence. Build systems that understand creators, brands, briefs, and content across video, audio, image, and text. Ranking, recommendation, and prediction. Develop models that predict creator-brand fit and campaign outcomes and make better decisions from sparse, heterogeneous feedback.

## What they're looking for

- We're looking for a researcher with strong technical depth who wants their work to change a production product, not stop at a paper or prototype
- PhD in machine learning, AI, computer science, statistics, or a related field, with a track record of original ML research demonstrated through peer-reviewed publications or comparable research contributions
- Depth in one or more areas such as foundation models, multimodal learning, recommendation and ranking, representation learning, reinforcement learning and decision-making, causal inference, optimization, or adjacent fields
- Experience applying research to real products or production systems, including turning ambiguous product problems into research questions and translating successful results into measurable product improvements
- Strong implementation skills: you can prototype your own ideas, work directly with large datasets and modern ML stacks, and collaborate closely with engineers on productionization
- Strong knowledge of current AI research and the judgment to distinguish technically interesting work from approaches that will matter in practice

Tags: Engineering