# Machine Learning Scientist at Spotter

- Company: Spotter
- What the company does: 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.
- Company website: https://www.spotter.com/
- Type: Startups (AI role)
- Level: Mid level
- Location: Culver City, California, United States
- Work setup: On-site
- Pay: $167K to $185K base salary per year (USD)
- Posted: 2026-06-19
- Apply by: 2026-10-08
- Apply: https://job-boards.greenhouse.io/spotter/jobs/4707750005
- Page: https://www.1752.vc/careers/jobs/spotter-machine-learning-scientist/

## 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

Tags: Analytics