Applied AI Research Engineer role at Hightouch focused on agentic AI marketing applications with emphasis on image and video generation. Responsibilities include developing proofs of concept, designing evaluation systems, and experimenting with generative AI methods for customer growth. Requires strong probabilistic and quantitative thinking, backend architecture skills, and product intuition; no prior LLM/AI experience required.
Key Highlights
Senior applied research role focused on agentic AI marketing applications, particularly image and video generation
Develop proofs of concept and evaluation systems for autonomous AI advancement
No prior LLM/AI experience required; strong technical and product skills emphasized over years of experience
Remote-first position with salary range $180,000–$400,000 USD and equity compensation
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Key Responsibilities
Iterate and develop proofs of concept to explore integrating AI into data and marketing workflows
Design and develop evaluation and improvement systems for autonomous advancements
Expand the frontier of AI-generated video capabilities, including making generated humans maximally realistic
Experiment with approaches for generating brand assets aligned to a company's look and feel
Apply probabilistic and quantitative thinking to agentic AI marketing applications
Technical Skills Required
Probabilistic Systems
Backend Architecture
Machine Learning
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Benefits & Perks
Salary range $180,000–$400,000 USD per year
Meaningful equity compensation
Remote-first policy
Job Description
We’re looking to add to the team. The ideal candidate will have strong probabilistic and quantitative thinking, the ability to be highly creative and experimental with LLM applications, and ground their work in potential customer and product applications.Our applied research team focuses on finding new and innovative techniques to improve the frontier of what is possible in agentic AI marketing applications, with a particular focus on image and video. We focus less on theory or writing research papers, and more on experimenting, prototyping, and exploring new methods for applying generative AI to help our customers grow their companies.
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