обновлено 3 дня назад
Senior Machine Learning Engineer (AI)
80 000 - 120 000$
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Описание вакансии
Текст:
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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