Machine Learning Engineer Search Ranking amp Personalization Stage Seed Founded 2022 Key Job Information Location New York NY San Francisco CA Remote OK Employment Type FullTime Experience Level 3 years Salary Range 190000 260000 per year Equity Competitive equity package Visa Sponsorship H1B O1 OPTAbout the CompanyClient is a fastgrowing shopping platform with over 350000 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 AmazonRole SummaryAs a Machine Learning Engineer at Clients 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 worldclass 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 candidatesKey Responsibilities Design train and deploy largescale search ranking and personalization models Handle hundreds of millions of items daily with high performance and reliability Collaborate closely with backend and infrastructure teams to integrate ML models into production GraphQL Prisma Nodejs Python gRPCProtobuf Continuously improve model accuracy and system scalability Contribute to product direction and technical roadmap for Clients ML systemsRequirementsMustHave Qualifications Minimum of 3 years professional experience building and deploying ML models in production Proven experience with ranking recommendation or personalization systems Proficiency in PyTorch and largescale data processing for realtime inference Strong backend integration experience GraphQL Prisma Nodejs Python gRPCProtobuf Willingness to work in a highintensity fastpaced startup environment Based in New York or remote in San FranciscoPreferred Background Current or prior experience at companies like DoorDash Etsy Pinterest Amazon or eBay Previous work on consumerfacing search or recommendation productsBenefits amp Perks 190K260K base salary plus competitive equity Direct impact on a core product with a massive highretention user base Work alongside toptier engineers from leading consumer tech companies Fastpaced startup culture with rapid iteration and experimentation Opportunity to build the ML search and personalization strategy from scratchInterview Process1 Intro call with Head of Recruiting 2 Technical Interview3 Coding Interview4 CTO Interview5 Onsite Interview6 Offer Extended7 HireCandidate GuidelinesGreen Flags Experience solving largescale consumer searchranking challenges eg Pinterest Meta TikTok Amazon Ads Strong track record shipping highimpact ML features in consumer products Earlystage or startup experience with endtoend ownership of ML pipelines Demonstrated builder mindset side projects prototypes hackathon wins High intrinsic motivation and interest in future entrepreneurshipRed Flags Primarily B2B search experience with limited data complexity Researchonly background without production deployment Prefers management over handson technical work Struggles with ambiguity or highintensity work environments Unwilling to relocate or adapt to NYCbased team cultureIdeal Companies Amazon eBay Pinterest DoorDash Etsy
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