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6 часов назад

Data Scientist II (AI/ML)

97 000 - 184 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
US/Mexico/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Scientist II (AI/ML): Developing and deploying machine learning systems for content classification, enrichment, recommendations, search, translation, and other media applications with an accent on NLP, LLMs, generative models, and large-scale data processing. Focus on building production ML pipelines, processing massive datasets with Python, SQL, and Spark, and solving complex modeling challenges with cross-functional teams.

Location: Hybrid hirify.global Flex model with occasional in-person attendance required. Primary residence must be in or near an approved city in the United States, Canada, or Mexico.

Salary: $97,000–$175,000 annually in the United States outside California; $118,000–$184,000 annually in California. Canadian range: CAD 123,000–150,000 annually.

Company

hirify.global develops digital content products including hirify.global, SlideShare, Everand, and Fable to help people access knowledge and expertise.

What you will do

  • Develop and deploy machine learning models for content classification and other high-impact AI use cases.
  • Apply traditional NLP, LLMs, generative models, classical algorithms, and custom neural networks.
  • Investigate solutions to challenging problems involving large-scale data and production systems.
  • Process massive datasets using Python, SQL, Spark, and related tools.
  • Collaborate with Data Scientists, Machine Learning Engineers, ML Data Engineers, Product, and other stakeholders.
  • Communicate project approaches and results and maintain clear technical documentation.

Requirements

  • 3+ years of post-qualification experience developing machine learning models, working at scale, and deploying to production.
  • Proficiency in Python.
  • Hands-on experience building ML pipelines and using distributed data processing frameworks such as Apache Spark or Databricks.
  • Intermediate experience in at least three areas including classification, NLP, search, information retrieval, named entity recognition, deep learning, and generative models.
  • Intermediate or greater experience with SQL or PySpark.
  • Bachelor's or master's degree in a relevant quantitative discipline such as Statistics, Computer Science, Data Science, or Artificial Intelligence.

Culture & Benefits

  • Flexible hirify.global Flex work model with intentional in-person collaboration.
  • Health, dental, vision, mental health, and disability coverage.
  • Paid vacation, sick time, holidays, winter break, volunteer time, and sabbaticals.
  • Paid parental leave, family support, retirement matching, and employee equity.
  • Learning and development programs, wellness and home office stipends, and access to hirify.global products and leading AI tools.

Hiring process

  • Reasonable interview accommodations are available upon request.

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