Machine Learning Scientist

Spotter empowers the world's best Creators with capital, data, and insights to scale their programming into sustainable media businesses. Through these partnerships, Spotter helps brands partner with creator-led franchises to unlock growth, amplify impact, and build lasting cultural relevance.

Spotter has already deployed over $1 billion to YouTube Creators to reinvest in themselves and accelerate their growth. With a premium catalog that spans over 725,000 videos, Spotter generates more than 88 billion monthly watch-time minutes, delivering a unique scaled media solution to Advertisers and Ad Agencies that is transparent, efficient, and 100% brand safe. For more information about Spotter, please visit https://spotter.com.

We're looking for a talented and intensely curious Machine Learning Scientist with deep expertise in building and deploying production machine learning models, particularly reinforcement learning, contextual bandits, and adaptive learning systems, along with deep learning, ranking, personalization, and recommendation systems. You thrive in a fast-paced startup environment and are motivated by building models that don't just perform well in experiments, they ship to production and create real value for YouTube Creators.

In this role, you'll train, evaluate, optimize, and deploy a wide range of machine learning models, from contextual bandits and sequential decision-making systems to neural networks, ranking systems, recommendation models, and traditional machine learning approaches. You're passionate about staying at the forefront of AI and machine learning, especially in areas where models learn from feedback, adapt over time, and improve real-world product outcomes.

We're a team of builders who value continuous learning, rapid experimentation, and delivering AI solutions that make a measurable difference for Creators. If you enjoy solving complex problems, iterating quickly, and building intelligent products that help the world's top YouTube Creators work smarter and create better content, you'll thrive at Spotter.

You'll develop machine learning models that move beyond experimentation and into production, where they directly improve Creator workflows and product experiences. Working alongside Analytics, Product, and Engineering, you'll help develop intelligent systems that improve how Creators discover insights, make decisions, and create content.

Your work may include