Software Engineer, Machine Learning

Machine Learning EngineerAs 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 insurance