Founding ML Engineer

About TRACE🤖 We're building agentic recommerce.Today, buying something means taking all of the risk.You spend money, hope you'll still want it later, and if you decide to sell it, you're stuck doing the work yourself.We think ownership should be liquid.We're building a future where intelligent systems coordinate demand, supply, pricing, and transactions automatically, giving every purchase a clear path to resale and eventually a guaranteed exit.TRACE is the first step toward that future.Today, users can list what they plan to sell before they buy it. Buyers bid, demand forms instantly, and purchases can start paying for themselves before checkout.Why join now?Momentum is building quickly.We launched 2 months agoEarly engagement metrics are outperforming marketplace benchmarks by 4-5xWe closed a $3M seed round last month and are venture-backedWe're a two-founder team based in NYCOur technical CEO spent five years as a Senior Engineer at Etsy and built the first version of TRACE herselfWe recently graduated from Harvard Business SchoolNow we're building the intelligence layer that powers what's next.The roleYou'll be one of our first engineering hires and the person helping define how machine learning and AI shape the future of TRACE.You'll work directly with the founders and own systems end-to-end, from data infrastructure to models to production systems.This is an opportunity to help build a category-defining company from the earliest days.The core problem is simple to describe and difficult to solve:How do you match a buyer to an item that hasn't even been purchased yet, and do it accurately enough that people trust the result?TRACE sits on a unique dataset: demand before ownership.Every bid, save, search, listing, and transaction creates signals about intent, demand, pricing, and future supply.Your job is to turn those signals into products.You'll help build:Matching systems that connect buyers with future supplyDemand prediction and marketplace intelligenceRanking, recommendation, and search systemsAI-powered listing creationProduction ML systems that directly impact user experienceFeedback loops that improve with every transactionLong-term agentic systems that coordinate buyers, sellers, pricing, and transactionsWe're looking for someone who enjoys ambiguity, likes owning the full stack from data to production, and gets excited by hard problems that don't have obvious answers.You're probably a fit ifYou've shipped ML systems into productionYou enjoy owning the entire system, not just the modelAI tools are part of your daily workflowAmbiguous, unsolved problems excite youYou're interested in recommendation systems, matching, search, marketplaces, or agentic systemsYou want to work closely with product, design, and usersLogisticsNYC preferred.If you're exceptional and remote, we'll make it work.Competitive salary + meaningful equity.