Develop and optimize the retrieval layer of Constructor's e‑commerce search engine, focusing on search recall and visual multimodal solutions. Own end‑to‑end model lifecycle, from training and fine‑tuning to deployment and A/B testing. Require 4+ years of production ML experience, strong Python/PyTorch skills, and expertise in information retrieval.
Key Highlights
Build high‑performance search retrieval systems serving millions of users worldwide
Design visual and multimodal search features such as image search and shop‑the‑look
Own deep learning models as a platform and validate impact through live A/B tests
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Key Responsibilities
Build and improve the retrieval layer of the e‑commerce search engine to ensure relevant product results.
Develop modern search recall systems using dense and sparse models with strict latency constraints.
Design end‑to‑end visual and multimodal search solutions, including image search and visual recommendations.
Own a portfolio of deep learning models and provide them as a platform for other teams.
Manage the full model lifecycle from problem framing to deployment and monitoring.
Design and run A/B tests to measure model impact and deliver measurable business value.
Technical Skills Required
Python
PyTorch
Information Retrieval
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Benefits & Perks
Unlimited vacation time
Fully remote work
Work from home stipend
Apple laptops provided
Training and development budget
Maternity & Paternity leave
Stock options
Regular team offsites
Job Description
Launched in 2019, Constructor is an AI-first ecommerce search and discovery platform that helps shoppers find the right products at the right time and enables leading global e-commerce brands to drive meaningful revenue and conversion gains.As a member of the ML Recall team, you will improve the e-commerce experience for hundreds of millions of users across the world by building the retrieval layer of our search engine.The mission is to make sure the product a shopper looks for is always among the results - for any query, in any language, in a few milliseconds.Your primary focus will be search retrieval and visual solutions:
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