Spotter

Machine Learning Scientist

Culver City, California, United States

Sponsorship not specified$167k-$185kDetected 29 days ago

PythonSQLMachine LearningDeep LearningMLOpsStatisticsA/B TestingElectrical EngineeringCommunication

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 $980 million to Creators to reinvest in themselves and accelerate their growth, with plans to reach $1 billion in investment in 2026.
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.

Building recommendation, ranking, and personalization systems that adapt to creator behavior, product feedback, and changing objectives.
Developing reward models, feedback models, and objective functions that translate noisy, sparse, delayed, or implicit signals into reliable model training and evaluation targets.
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.

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.
Experience designing experiments and using data to improve model performance in real-world product environments.
Experience with offline evaluation, A/B testing, counterfactual reasoning, causal inference, or other methods for measuring model impact.
Excellent communication skills and the ability to work cross-functionally with Product, Engineering, Analytics, and other stakeholders.

Experience with large-scale recommendation, ranking, personalization, or adaptive optimization systems.
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.
Autonomy and upward mobility
Diverse, equitable, and inclusive culture, where your voice matters.
Actual salaries will vary and may be above or below the range based on various factors including but not limited to skill sets
experience and training
licensure and certifications

$167K-$185K salary per year.
The range listed is just one component of Spotter's total compensation package for employees.
Other rewards may include an annual discretionary bonus and equity.
Equal access to programs, services and employment is available to all persons.
Those applicants requiring reasonable accommodations as part of the application and/or interview process should notify a representative of the Human Resources Department.

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 machine learning models.
Applying reinforcement learning, contextual bandits, online learning, and other adaptive learning approaches where they improve product outcomes.
Collaborating closely with Product and Engineering to translate customer problems into machine learning solutions.

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.