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21 час назад

Applied Scientist II (AI)

142 800 - 193 200$
Формат работы
onsite
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

Applied Scientist II (AI): Designing and implementing advanced generative AI and machine learning solutions to optimize ad serving on Amazon.com, enhancing product discovery and advertiser ROI with an accent on developing scalable production-grade LLM-powered and agentic AI systems. Focus on leveraging innovative ML techniques like deep learning, reinforcement learning, and multi-modal AI for query understanding, content generation, and chain-of-thought decision-making.

Location: Onsite in Seattle, USA. US-specific benefits like 401(k) and health insurance are offered.

Salary: $142,800.00–$193,200.00 USD annually

Company

hirify.global is re-imagining the advertising landscape through industry-leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands.

What you will do

  • Drive end-to-end Machine Learning projects with high ambiguity, scale, and complexity.
  • Perform hands-on analysis and modeling of enormous data sets to develop insights for traffic monetization and merchandise sales.
  • Build, experiment, optimize, and deploy machine learning models into production.
  • Run A/B experiments, gather data, and perform statistical analysis.
  • Establish scalable, efficient, automated processes for large-scale data analysis and ML model development/validation/serving.
  • Research new and innovative machine learning approaches.

Requirements

  • 3+ years of experience building models for business applications.
  • PhD or Master's degree with 4+ years of CS, CE, ML, or related field experience.
  • Experience programming in Java, C++, or Python.
  • Experience in state-of-the-art deep learning models architecture design, training, optimization, and model pruning.

Nice to have

  • Experience using managed ML/AI solutions.
  • Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy.
  • Experience in data applications using large scale distributed systems (e.g., EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive).

Culture & Benefits

  • Work within Amazon's heavily invested, world-class advertising business, driving billions in revenue and long-term growth.
  • Join a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit.
  • Opportunity to define a long-term science vision for the advertising business.
  • Comprehensive benefits including health insurance (medical, dental, vision, prescription), 401(k) matching, paid time off, and parental leave.

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