Machine Learning Scientist (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Machine Learning Scientist (AI): Developing and deploying production-grade machine learning models to optimize creator workflows and product experiences with an accent on reinforcement learning, recommendation systems, and adaptive decision-making. Focus on building scalable pipelines, designing experiments, and translating complex behavioral data into actionable product insights.
Location: Must be based in Culver City, California, United States
Salary: $167,000–$185,000 per year
Company
empowers creators with capital and data insights to scale their programming into sustainable media businesses.
What you will do
- Design, train, and deploy production machine learning models including neural networks and ranking systems.
- Build adaptive recommendation and personalization systems that respond to creator behavior and feedback.
- Apply reinforcement learning and contextual bandits to balance exploration and exploitation in product objectives.
- Develop reward models and feedback loops to translate implicit signals into reliable training targets.
- Collaborate with product and engineering teams to translate customer challenges into intelligent ML solutions.
- Optimize models for accuracy, latency, and production maintainability.
Requirements
- Master’s degree or PhD in a quantitative field (Computer Science, Statistics, Mathematics, etc.).
- 5+ years of experience building and deploying machine learning models in production environments.
- Strong proficiency in Python and SQL.
- Deep understanding of reinforcement learning, deep learning architectures, and sequence modeling.
- Experience with offline evaluation, A/B testing, and causal inference techniques.
- Ability to work cross-functionally with product, engineering, and analytics stakeholders.
Nice to have
- Experience with large-scale recommendation or ranking systems in consumer marketplaces.
- Familiarity with ad recommendation or campaign optimization systems.
- Experience serving large-scale ML models in production.
Culture & Benefits
- Medical insurance covered up to 100% with dental and vision plans.
- 401(k) matching and stock options.
- Discretionary PTO and complimentary gym access.
- Focus on autonomy, continuous learning, and rapid experimentation.
- Commitment to a diverse, equitable, and inclusive work environment.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →