Senior Machine Learning Engineer

Senior Machine Learning Engineer / AI EngineerRole OverviewWe are seeking an experienced Machine Learning Engineer to design, build, and deploy scalable AI systems powering intelligent products and internal platforms. This role combines applied ML, software engineering, and production infrastructure to deliver models into real-world environments.The ideal candidate has hands-on experience with deep learning, LLMs, data pipelines, and cloud deployment, and is comfortable working in a fast-paced engineering organization.Key ResponsibilitiesBuild and productionize machine learning models for recommendation, prediction, classification, ranking, or generative AI use casesDevelop and fine-tune large language models, retrieval systems, and agent workflowsDesign scalable ML pipelines for training, evaluation, monitoring, and inferenceCollaborate with product, data, and engineering teams to define AI roadmapsImprove model performance, latency, reliability, and cost efficiencyImplement MLOps best practices including CI/CD, experiment tracking, and model versioningConduct A/B testing and model performance analysis in productionStay current on latest research and integrate relevant advances into product systemsRequired QualificationsBS/MS/PhD in Computer Science, Machine Learning, Statistics, Mathematics, or related field5+ years of software engineering or ML engineering experienceStrong Python proficiencyExperience with:PyTorch or TensorFlowScikit-learnSQL and distributed data systemsCloud platforms: Amazon Web Services, Google Cloud, or Microsoft AzureContainerization/orchestration: Docker, KubernetesExperience deploying APIs and backend ML servicesSolid understanding of:Deep learningNLP / LLM architecturesFeature engineeringModel evaluation and monitoringPreferred QualificationsExperience with generative AI products and LLM application developmentFamiliarity with:RAG systemsVector databasesRLHF / fine-tuning workflowsModel serving at scaleStartup or high-growth company experienceOpen-source contributions or published ML researchNice-to-Have ToolsLangChain / LlamaIndexAirflow / DagsterMLflow / Weights & BiasesSpark / RayDatabricksSnowflakeBenefitsFull health, dental, vision401(k) matchingEquity participationFlexible PTOLearning & conference budgetCommuter benefitsCatered meals / office stipendCompensationBase Salary: $180,000 - $260,000Equity: Competitive startup/public company equity packageBonus: Performance-based annual bonus (10-20%)

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