Powering premium creator entertainment and delivering proven brand impact. Connect with YouTube's top creators through the leader in Creator TV. Backed by SoftBank VF.
About the role
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.
What they're looking for
- Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or another quantitative field
- 5+ years building, evaluating, and deploying machine learning models in production environments
- Practical experience with bandit and reinforcement learning methods such as Thompson sampling, UCB or LinUCB, neural bandits, non-stationary bandits, policy gradients, actor-critic methods, or Q-learning
- Ability to design reward functions and objective trade-offs for systems optimizing long-horizon outcomes, including diagnosing and mitigating reward hacking and feedback loops
- Experience working with logged interaction data, behavioral data, or feedback signals to train, evaluate, and improve models
- Track record of designing experiments and using data to improve model performance in real-world product environments, including A/B testing and causal inference
More about this role
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...
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