Research Engineer, Applied AI

Agentio•New York, NY

4d•$195,000 - $400,000•Onsite

About The Position

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.

Requirements

Demonstrated experience conducting applied ML research, with original work shown through production ML systems, publications, open-source research, or comparable 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.
Ability to turn ambiguous product problems into tractable research questions, run rigorous experiments, and translate successful approaches into production systems.
Strong engineering skills and experience taking ML work beyond prototypes.
Strong knowledge of current AI research and the judgment to determine which methods are useful in practice.

Nice To Haves

A PhD or advanced degree in ML, AI, computer science, statistics, or a related field is useful but not required.

Responsibilities

Own research problems from problem definition and experimentation through production.
Evaluate relevant AI and ML methods against Agentio's data, build rigorous experiments and evaluations, and measure performance in production.
Develop models, algorithms, training approaches, or datasets when existing techniques aren't sufficient. Work with engineering and product to ship successful approaches.
Help set Agentio's research agenda and technical standards for applied ML.