Spotter
Machine Learning Scientist
Culver City, California, United States · Senior
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odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~61% per draw at Level IV). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
This range already reaches Level IV — the maximum four lottery entries.
DOL prevailing wage, 2026-27 wage year · Data Scientists (15-2051) · Los Angeles-Long Beach-Anaheim, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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About the role
- Spotter empowers the world's best Creators with capital, data, and insights to scale their programming into sustainable media businesses.
- 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.
Responsibilities
- Developing reward models, feedback models, and objective functions that translate noisy, sparse, delayed, or implicit signals into reliable model training and evaluation targets, and diagnosing and mitigating reward hacking and feedback loops in deployed systems.
- Building scalable model training, evaluation, deployment, and inference pipelines.
- Working alongside Analytics, Product, and Engineering, you'll help develop intelligent systems that improve how Creators discover insights, make decisions, and create content.
Requirements
- Required Skills & Experience
- Master's degree or PhD in Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, or another quantitative field.
- 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.
- Excellent communication skills and the ability to work cross-functionally with Product, Engineering, Analytics, and other stakeholders.
Nice to have
- Familiarity with ad recommendation, ad ranking, or campaign optimization systems used by large-scale platforms, such as YouTube, Google, Meta, TikTok, Amazon, or similar consumer marketplace platforms.
- Experience serving large-scale ML models in production.
- Ship production models every week, not every year.
- Join a small, highly collaborative team where your work has immediate impact.
- Help shape the future of AI-powered Creator tools.
- Autonomy and upward mobility
Compensation
- In compliance with local law, we are disclosing the compensation, or a range thereof, for roles that will be performed in Culver City.
Benefits
- You'll develop machine learning models that move beyond experimentation and into production, where they directly improve Creator workflows and product experiences.
- Designing, training, evaluating, optimizing, and deploying production reinforcement learning, contextual bandit, and online learning systems that improve product outcomes.
- Collaborating closely with Product and Engineering to translate customer problems into machine learning solutions.
Company info
- Those applicants requiring reasonable accommodations as part of the application and/or interview process should notify a representative of the Human Resources Department.
Visa & Work Authorization
- Spotter does not discriminate in employment on the basis of race, religion, creed, color, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic characteristics or information,
This listing is sourced directly from Spotter's careers page and normalized into a canonical job model.