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Agentio
New York, United States
Source: Agentio careers · View original posting
From Agentio's posting. “We” and “our” refer to the employer.
Agentio builds AI-native infrastructure for creator advertising. Our platform uses AI to turn creative and performance signals into campaign strategies, match brands with creators, recommend sponsorship prices, and review videos against brand requirements.
Each campaign generates feedback: how brands respond to our recommendations, which offers creators accept, and how the resulting content performs. We build self improving loops that learn from these behaviors and outcomes to better understand preferences, predict performance, and improve campaign decisions.
We're looking for a Research Engineer to advance that work through applied AI and ML research, developing models that improve the platform's predictions and automate more of the decisions behind creator advertising.
The work spans research and production. You'll evaluate methods from academia and industry, adapt and train models on Agentio's proprietary data, develop new approaches when existing methods fall short, and work with engineering and product to ship them.
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.
Foundation models and agents.
Apply LLMs and multimodal models to campaign planning, discovery, creative understanding, execution, and optimization. Use Agentio's proprietary data for prompting, retrieval, fine-tuning, post-training, and, where it makes sense, specialized model training.
Learning and decision-making.
Turn campaign data into training signals, evals, and learning loops while tackling problems in optimization, exploration, measurement, and marketplace dynamics.
Part of the role is deciding which advances in AI and ML are useful for Agentio and where new methods are needed.
The opportunity to build the research function at a first-of-its kind business and make a meaningful impact in the way brands share their stories and creators live off their work.
Crash-course in what it takes to scale a start-up with first-hand exposure to the different foundational business drivers and needs.
The chance to work with an exceptional team and help build our engineering culture
A collaborative, transparent, and engaging work environment.
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