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14 часов назад

Machine Learning Scientist (AI)

167 000 - 185 000$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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

hirify.global 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.

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