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6 часов назад

Software Development Engineer (ML)

143 700 - 194 400$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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

Software Development Engineer (ML): Building scalable measurement, attribution, and audience optimization systems for Prime Video with an accent on ML infrastructure and big data pipelines. Focus on integrating ML models into production, designing distributed systems, and optimizing content discovery for millions of customers.

Location: Seattle, WA, USA

Salary: $143,700 – $194,400

Company

hirify.global Prime Video leverages AI and Machine Learning to power personalized recommendations and content discovery for over 200 million customers worldwide.

What you will do

  • Design and build scalable services for marketing measurement, attribution, and audience optimization across paid media channels.
  • Develop big data pipelines to ingest, process, and serve campaign performance data at scale.
  • Integrate ML models into production services, focusing on feature engineering, inference, and monitoring.
  • Lead high-impact projects from design through production, making sound technical trade-offs.
  • Collaborate with engineers, scientists, and product managers to translate business needs into technical solutions.
  • Champion code quality and operational excellence through code reviews and mentorship.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
  • 3+ years of non-internship professional software development experience.
  • 2+ years of experience in design or architecture of new and existing systems (reliability and scaling).
  • 2+ years of experience with big data technologies such as AWS, Hadoop, Spark, Pig, Hive, Lucene/SOLR, or Storm/Samza.
  • Must be located in or authorized to work in Seattle, WA, USA.

Nice to have

  • Experience with Machine Learning and Large Language Model (LLM) fundamentals, including training/inference lifecycles.
  • Knowledge of ad-tech measurement, attribution methodologies, or AWS Clean Rooms.
  • 3+ years of full SDLC experience, including coding standards, build processes, and operations.

Culture & Benefits

  • Comprehensive health insurance (medical, dental, vision, prescription) and Mental Health Support.
  • 401(k) matching and paid time off.
  • Parental leave and adoption/surrogacy reimbursement.
  • Opportunity to work on industry-defining content like Lord of the Rings and Thursday Night Football.
  • Self-managed team environment with high degree of independence and ownership.

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