Senior Machine Learning Engineer

Senior Machine Learning Engineer LocationNew York CityEmployment TypeFull timeLocation TypeOn-siteDepartmentMachine LearningCompensation$200K – $230K • Offers EquityAbout FINNYFINNY is a growth platform for financial advisors. We are on a mission to make great financial advice easier to find. Today, access to quality financial guidance is limited, not because advisors don’t exist, but because the right connections are hard to make when it matters. We’re fixing that with AI-powered tools that help advisors find, engage, and retain the clients they can genuinely help.We've raised a $4.5M Seed from Y-Combinator in S24 and now $17M Series A led by Venrock. We work with over 1,000 firms across the wealth management ecosystem, and have been recognized as the leader in fintech innovation—winning #1 at the Morningstar Fintech Showcase, #1 at 2025 Wealthies, and being featured across the industry.We’re based in Chelsea, NYC, building fast and ambitious systems at the intersection of data, AI, and real-world wealth services.About the TeamBeing a Machine Learning Engineer at FINNY means owning the models that power search, matching, ranking, recommendations, data and intelligent automation across the product. This is a model first role. While you’ll work with real production data and pipelines, your primary impact comes from designing, training, evaluating, and improving ML systems that directly shape user outcomes. You’ll partner closely with product, backend, and frontend teams to turn ambiguous problems into measurable model improvements.What You’ll DoHelp build FINNY’s core modelsDesign, train, and iterate on custom models that power data imputation, prospect and audience recommendations, campaign customization and personalization, and automations.Build & improve models in productionTake models from research → experimentation → deployment → iterationOwn offline evaluation, online metrics, and feedback loopsImprove model performance over time through better objectives, features, and training strategies—not just more dataAdvanced modeling & experimentationApply and adapt techniques such as:Fine-tuningRL methods (DPO)Transfer learning and weak supervisionSynthetic data generation and augmentationOperate effectively in low-signal, noisy, or cold-start environmentsContribute to ML systems & infrastructureWork with backend engineers to productionize models reliably and at scaleHelp define standards for model versioning, evaluation, deployment, and monitoringInfluence long-term ML strategy and reduce technical debt in modeling workflowsWhat We’re Looking ForYou’re a model builder at heartYou care deeply about how models learn, not just how pipelines runYou’re comfortable reasoning about loss functions, tradeoffs, and evaluationYou enjoy designing solutions when the problem is underspecified and data is imperfectYou’re strong technicallyVery strong Python with extensive hands-on experience building ML systems.Strong statistical and mathematical foundations.Proven experience training, fine-tuning, and deploying custom models into production, not just experimentation or offline researchExperience designing loss functions, evaluation metrics, and validation strategies aligned with real-world product objectivesFamiliarity with model lifecycle management: versioning, reproducibility, monitoring, and iteration in production environmentsYou’ve shipped ML systems beforeYou’ve taken models beyond notebooks and into real productsYou understand failure modes, monitoring, and iteration in production MLStartup experienceYour working styleYou tackle ambiguity head-on and turn fuzzy problems into concrete experimentsYou move fast, iterate, and aren’t precious about first approachesYou communicate clearly about model behavior, limitations, and tradeoffsIn-person, NYC (5 days/week in Chelsea office)Compensation & BenefitsFINNY offers a competitive compensation package including:Competitive salary and equityMedical, dental, and vision insuranceFlexible paid...