Senior Software Engineer, Data & ML

## About the company Who we are Hi, We're Sundogs. We're using AI and human creative expertise to transform video advertising. Working with the biggest brands in the world, we're building a way to measure creative effectiveness – helping creators everywhere use AI to tell better, more creative stories, and make their video ads not just better, but revolutionary. Our team is a global collection of Cannes-winning creatives, ex-Googlers, cutting edge data scientists, and start-up entrepreneurs, and we're poking at the future with curiosity and delight. ## The Opportunity This is not a narrowly scoped role: We're at an early stage in our journey, and looking for a Senior Software Engineer, Data who's excited to build things from the ground up: someone who can think strategically, move fast, and set a high bar for quality. Data is central to who we are, and you'll be a key player in taking our ad scoring engine from an MVP to a scalable solution. You'll design, build and own its data pipelines and models end-to-end, working closely with the data science and product teams to translate creative ideas into production-level software. You'll thrive here if you are: - Energized by ambiguity and enjoy bringing structure where it doesn't yet exist. - Deeply technical, thorough and meticulous, with a capacity for designing entire systems from the ground up. - A product-minded problem solver, working directly with early adopters to see your work in the wild, fast. - You bring curiosity and empathy to every interaction—especially when translating technical concepts for non-technical teammates. - You want to shape not just what we build, but how we build it: technical direction, process, and culture. ## What you'll do: ### Backend & Data - Design, architect and build our Ad Scoring engine, in close collaboration with the engineering and data teams. - Build and maintain high performance databases and data pipelines, develop systems to ensure data integrity. - Implement ML models in production, from data collection, processing, to prediction, hand-in-hand with the data science team. - Build and maintain internal tooling for the data science team. - Ensure maintainability of the codebase, proactively address tech debt and champion best practices, working closely with the larger engineering team. ### AI / LLM Pipeline - Refine our LLM pipelines (OpenAI, Gemini, etc.) for performance and reliability. - Implement efficient prompting and prompt management. ### Technical Enablement & Collaboration - Collaborate closely with the data and product teams to understand needs and translate them into engineering features. ## What we're looking for - Computer Science degree or equivalent foundation - 5+ years in backend engineering and data - Experience in fast-paced, high ambiguity environments (start-up or other) - Deep Python expertise, production work