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5 дней назад

Senior Machine Learning Engineer (AI)

138 500 - 195 000$
Формат работы
hybrid
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
Senior Machine Learning Engineer (AI): Building recommendation, ranking, and predictive customer behavior models for Taboola's performance advertising platform with an accent on personalization at scale, production ML systems, and automated evaluation harnesses. Focus on designing and shipping distributed ML services, building benchmarks and guardrails through TDD, and optimizing data transformation pipelines across Hadoop and Spark.

Location: Los Angeles, California, United States; hybrid schedule with 3 days in-office. Early morning or evening syncs may be required with the Tel Aviv team.

Base salary: $138,500–$195,000 USD annually.

Company

hirify.global provides performance advertising technology through its Realize platform, serving approximately 600 million daily active users and helping advertisers and publishers grow through data-driven algorithms.

What you will do

  • Design and build recommendation, ranking, predictive customer behavior, targeting, and personalization models.
  • Implement machine learning and statistical algorithms, deliver trained models to production, and maintain the surrounding services.
  • Own ML systems end to end, including design, development, deployment, measurement, and maintenance.
  • Build automated evaluation harnesses, testing frameworks, benchmarks, baselines, and guardrails for ML systems using a TDD process.
  • Present technical findings to product teams and technical leads.
  • Build data pipelines from Kafka and SQL production systems into HDFS and Hadoop, and develop distributed data transformation and computation solutions with Hadoop and Spark.

Requirements

  • Bachelor's or advanced degree in computer science, electrical engineering, computational economics, or a related field.
  • 5+ years of hands-on experience with Python and Java.
  • Proficiency with machine learning frameworks such as PyTorch or TensorFlow.
  • Experience with recommendation systems, ranking algorithms, or personalization at scale.
  • Experience owning machine learning systems across design, development, deployment, measurement, and maintenance.
  • Ability to communicate technical findings clearly and collaborate across teams, including with the Tel Aviv team.

Nice to have

  • Experience with Karpathy's autoresearch, AutoML, or other agentic tools for machine learning experiments.
  • Experience using AI-assisted coding tools such as Cursor, Claude, or GitHub Copilot.

Culture & Benefits

  • Hybrid work schedule with the option to work in the office more frequently.
  • Health, dental, and vision insurance.
  • 401(k) matching and paid parental leave.
  • Flexible paid time off and potential discretionary bonus and equity.
  • Fully stocked kitchen and parking.
  • Inclusive workplace with equal employment opportunities.

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