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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$145к-175к/год
$170к$200кмедиана$230к
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Хорошая вакансия
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Чётко очерченная руководящая роль даёт возможность развивать рекомендательные системы Peacock и работать с ML в продакшене и GenAI, но обязательные четыре дня в офисе ограничивают гибкость.
Ниже рыночного уровня
Сильные задачи в ML
Современный стек
Много дней в офисе
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Lead Data Scientist (AI): Building recommendation and personalization models for Peacock’s video streaming service with an accent on deep learning, recommender systems, and real-time and batch deployment. Focus on developing foundation-model and reinforcement-learning solutions, processing large-scale datasets, and integrating data science models into streaming architecture.
Location: New York, United States; hybrid schedule requiring at least four days per week in the office
Salary: $145,000–$175,000 yearly, plus bonus and long-term incentive eligibility
Company
hirify.global is a media and entertainment company producing and distributing film, television, streaming, news, theme park, consumer product, and experiential content through brands including Peacock.
What you will do
Develop recommendation and personalization models for one or more Peacock streaming-service verticals.
Collect, manipulate, and refine data sources for data science solutions.
Collaborate with data scientists, engineers, architects, product managers, and analysts to prioritize personalization improvements.
Build real-time and automated batch implementations and integrate them into the streaming-service architecture.
Advance the statistical and machine-learning methodologies and tools used by the team.
Translate complex data science problems and solutions for stakeholders across the organization.
Requirements
Advanced degree (Master’s or PhD) specializing in Statistics, Computer Science, Data Science, Machine Learning, Mathematics, Operations Research, or another quantitative field, or equivalent.
5+ years of combined industry or research experience in machine learning.
Experience with commercial recommender systems or a lead role in an advanced research recommender-system project.
Strong experience with deep learning.
Proficiency in Python.
Experience with data processing using SQL and PySpark.
Experience with foundation models and other GenAI technologies.
Nice to have
Experience with media analytics and data science applications in content streaming and television.
Understanding of reinforcement-learning algorithms and graph methodologies.
Experience with multi-billion-record datasets and leading projects spanning data science and data engineering.
Experience with Kubeflow, Airflow, Databricks, or equivalent tools.
Experience with large-scale video assets.
Collaborative, team-oriented approach and willingness to learn new methods and tools.
Culture & Benefits
Hybrid work requires contributing from the office at least four days per week; in-office requirements may change.
Company-sponsored medical, dental, and vision insurance.
401(k), paid leave, tuition reimbursement, discounts, and other benefits.
Inclusive culture focused on developing talent and creating content that reflects diverse communities.
Hiring process
External candidates may be required to attend an in-person interview at an hirify.global location before a hiring decision.
Reasonable accommodation is available during the application and recruitment process upon request.
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