Machine Learning Engineer - Search, Ranking & Personalization

*Machine Learning Engineer – Search, Ranking & Personalization*


*Stage:* Seed
*Founded:* 2022

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*Key Job Information*
- *Location:* New York, NY / San Francisco, CA (Remote OK)
- *Employment Type:* Full-Time
- *Experience Level:* 3+ years
- *Salary Range:* $190,000 – $260,000 per year
- *Equity:* Competitive equity package
- *Visa Sponsorship:* H-1B, O-1, OPT

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*About the Company*

Client is a fast-growing shopping platform with over 350,000 active users and a 90% retention rate. The company is focused on building intelligent, personalized search and ranking systems to help users discover and trust products at scale. The team is composed of experienced engineers from leading consumer tech companies such as Pinterest and Amazon.

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*Role Summary*

As a Machine Learning Engineer at Client's company, you will join the ML team to design, build, and scale machine learning systems that drive search, ranking, and personalization across a platform serving hundreds of millions of items daily. This is a highly impactful role where your work directly influences user retention and trust. You will collaborate with a world-class team of engineers and play a key part in defining the ML search and personalization strategy from the ground up. The position is open to fully remote candidates.

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*Key Responsibilities*
- Design, train, and deploy large-scale search, ranking, a