{"schemaVersion":"jobsearcher.job.v1","id":"056db978703411ea31733bd5","url":"https://jobsearcher.com/jobs/056db978703411ea31733bd5","canonicalUrl":"https://jobsearcher.com/jobs/056db978703411ea31733bd5","title":"Software Engineer, Machine Learning","description":"About MercorMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.About The RoleAs a Machine Learning Engineer on the Marketplace team, you will build the models and decision systems that power Mercor's hiring engine. This includes search and ranking, candidate-job matching, marketplace recommendations, personalization, and allocation decisions across a rapidly growing talent network.This is an applied ML role with direct product and revenue impact. You will work on problems shaped by real marketplace constraints: sparse and delayed labels, cold start, noisy feedback, heterogeneous supply and demand, and the need to optimize across speed, quality, and conversion simultaneously.What You'll BuildRanking and matching systems that determine which candidates and opportunities are surfacedModels for recommendation, personalization, and marketplace optimizationRetrieval, scoring, and decision pipelines operating at global scaleFeedback loops that learn from downstream hiring outcomes, not just top-of-funnel engagementReal-time and batch inference systems embedded in product-critical workflowsExample ProblemsImprove candidate-job matching using embeddings, structured attributes, and behavioral signalsOptimize ranking toward long-term hiring outcomes under delayed and incomplete labelsDesign models that balance marketplace objectives such as fill rate, quality, speed, and conversionBuild systems for candidate allocation, opportunity routing, and liquidity optimizationDevelop evaluation and experimentation frameworks that connect model performance to business resultsWhat We're Looking ForStrong track record of shipping ML systems into productionExperience with ranking, recommendation, search, matching, or marketplace problemsGood judgment on model design, objective functions, evaluation, and tradeoffsComfort working across the full applied ML stack: data, features, training, inference, and iterationStrong engineering fundamentals and a bias toward simple, robust systemsWhy This RoleThis role sits on a core decision layer of the product. Your work will directly shape how talent is discovered, matched, and hired, and will influence fundamental marketplace outcomes across quality, speed, and revenue.Tech StackPython, Go, embeddings, fine-tuning, RAG, Kafka, Postgres, Redis, Elasticsearch, Kubernetes, TerraformBenefitsBi-annual performance bonus structureGenerous equity grant vested over 4 yearsUp to $15k Relocation bonus$10K housing bonus (if you live within 0.5 miles of our office)$1.5K monthly stipend for mealsFree Equinox membership$200 monthly laundry reimbursement$200 monthly personal wellness reimbursementHealth, Dental, Vision insuranceCompensation Range: $130K - $500K","company":"Mercor","rawCompany":"mercor","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-05T13:06:09.052Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineer, Machine Learning","description":"About MercorMercor's mission is to organize human intelligence to power the AI economy. We're a leading AI data company, building the layer between human expertise and frontier models. Millions of domain experts on the platform are paid over $4 million per day to train frontier AI models. Mercor's APEX benchmark family measures AI's real-world impact on professional work. Mercor Enterprise brings this same infrastructure to Fortune 500 companies: helping companies capture how their best people actually work, translating that expertise directly back into agents.Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our San Francisco, NYC, or London offices.About The RoleAs a Machine Learning Engineer on the Marketplace team, you will build the models and decision systems that power Mercor's hiring engine. This includes search and ranking, candidate-job matching, marketplace recommendations, personalization, and allocation decisions across a rapidly growing talent network.This is an applied ML role with direct product and revenue impact. You will work on problems shaped by real marketplace constraints: sparse and delayed labels, cold start, noisy feedback, heterogeneous supply and demand, and the need to optimize across speed, quality, and conversion simultaneously.What You'll BuildRanking and matching systems that determine which candidates and opportunities are surfacedModels for recommendation, personalization, and marketplace optimizationRetrieval, scoring, and decision pipelines operating at global scaleFeedback loops that learn from downstream hiring outcomes, not just top-of-funnel engagementReal-time and batch inference systems embedded in product-critical workflowsExample ProblemsImprove candidate-job matching using embeddings, structured attributes, and behavioral signalsOptimize ranking toward long-term hiring outcomes under delayed and incomplete labelsDesign models that balance marketplace objectives such as fill rate, quality, speed, and conversionBuild systems for candidate allocation, opportunity routing, and liquidity optimizationDevelop evaluation and experimentation frameworks that connect model performance to business resultsWhat We're Looking ForStrong track record of shipping ML systems into productionExperience with ranking, recommendation, search, matching, or marketplace problemsGood judgment on model design, objective functions, evaluation, and tradeoffsComfort working across the full applied ML stack: data, features, training, inference, and iterationStrong engineering fundamentals and a bias toward simple, robust systemsWhy This RoleThis role sits on a core decision layer of the product. Your work will directly shape how talent is discovered, matched, and hired, and will influence fundamental marketplace outcomes across quality, speed, and revenue.Tech StackPython, Go, embeddings, fine-tuning, RAG, Kafka, Postgres, Redis, Elasticsearch, Kubernetes, TerraformBenefitsBi-annual performance bonus structureGenerous equity grant vested over 4 yearsUp to $15k Relocation bonus$10K housing bonus (if you live within 0.5 miles of our office)$1.5K monthly stipend for mealsFree Equinox membership$200 monthly laundry reimbursement$200 monthly personal wellness reimbursementHealth, Dental, Vision insuranceCompensation Range: $130K - $500K","datePosted":"2026-08-05T13:06:09.052Z","dateModified":"2026-08-05T13:06:09.052Z","hiringOrganization":{"@type":"Organization","name":"Mercor","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"056db978703411ea31733bd5"},"url":"https://jobsearcher.com/jobs/056db978703411ea31733bd5"}}