Назад
4 дня назад

Senior Machine Learning Engineer (AI)

80 000 - 120 000$
Формат работы
remote (Global)
Тип работы
fulltime
Грейд
senior
Английский
b2

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TL;DR

Senior Machine Learning Engineer (AI): Building and optimizing ML/DL models for search and discovery in e-commerce with an accent on relevancy, marginality, and multimodal visual solutions. Focus on tuning LLMs, deploying robust ML systems at extreme scale, and improving business KPIs through data-driven hypotheses.

Location: Remote (Global)

Salary: $80,000–$120,000 USD per year

Company

Constructor is a next-generation search and discovery platform for e-commerce, utilizing proprietary transformer-based AI to optimize revenue and conversion for global retailers.

What you will do

  • Build and deploy robust ML systems for search, including text, image, and multimodal approaches.
  • Tune LLMs to enhance system performance and capabilities.
  • Improve business KPIs by validating hypotheses and implementing new ML techniques.
  • Collaborate with cross-functional technical teams to exchange expertise and improve overall system architecture.
  • Take ownership of end-to-end ML product development and system reliability.

Requirements

  • 3+ years of professional experience in applied machine learning.
  • Excellent knowledge of NLP and transformer-based architectures.
  • Extensive experience with Python and deep learning frameworks like PyTorch.
  • Proficiency with big data stacks, specifically PySpark, for end-to-end ML pipelines.
  • Experience with SQL dialects such as SparkSQL or MySQL.
  • Proven track record of delivering production-grade ML systems.

Nice to have

  • Experience designing and analyzing A/B tests.
  • Proficiency in Rust or C/C++.
  • Experience with public cloud platforms like AWS, Azure, or GCP.
  • Strong understanding of data structures, algorithms, and performance optimization.

Culture & Benefits

  • Fully remote work environment with home office stipend.
  • Unlimited vacation policy with a minimum of 3 weeks encouraged.
  • Annual training and development budget.
  • Stock options provided in addition to base salary.
  • Regular team offsites for collaboration and connection.

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