Senior ML Platform Engineer.

About the Company : Sequen AI is leading the charge for building frontier ranking models for search and recommendations. Sequen AI's technology specializes in designing end-user behavior for large consumer enterprises. We’re a small, highly technical team working at an early stage, focused on turning recent advances in AI into systems that are reliable, scalable, and useful in practice. The problems we’re working on are often ambiguous, with real-world constraints and meaningful impact.About the Role : We’re looking for an MLOps Engineer to build and operate the systems that power Sequen’s AI models in production. This role sits at the intersection of machine learning, infrastructure, and product. You’ll focus on making models usable, reliable, and scalable in real-world environments working closely with research, engineering, and product to bring systems into production.Responsibilities :Build and operate ML infrastructureDesign and maintain systems for model deployment, inference pipelines, and monitoringEnsure reliability, scalability, and performance in production environmentsDeploy and scale AI Ranking SystemsTake models from experimentation to productionBuild infrastructure for versioning, rollbacks, and continuous deploymentOptimize latency, throughput, and cost tradeoffsObservability and model performanceMonitor model performance, drift, and reliability issuesDevelop evaluation pipelines and feedback loopsCollaborate across teamsWork with ML researchers, engineers, and product teams to translate research into production systemsImprove systems over timeIdentify bottlenecks and improve infrastructure, tooling, and workflowsQualifications :4–8+ years of experience in MLOps, Machine Learning Engineering, or infrastructure/platform engineeringExperience deploying and serving ultra-low-latency machine learning models (batch and real-time)Production experience with Python and PyTorchStrong experience with cloud platforms (AWS, GCP, Azure)Experience with containerization (Docker, Kubernetes)Experience building data pipelines, model pipelines, and CI/CD systemsSolid understanding of machine learning lifecycle and distributed systemsPreferred Skills :Production experience with RustExperience with LLMs or generative AI systemsFamiliarity with feature stores, experiment tracking, and model evaluation frameworksExperience working in early-stage or high-growth environmentsPay range and compensation package :$200-$300KWhy This Role : This is a foundational role that will shape how Sequen builds and operates AI systems. You’ll have the opportunity to define infrastructure, influence system architecture, and work on problems where your decisions directly impact product performance and scalability.Equal Opportunity Statement : Sequen is committed to diversity and inclusivity in the workplace.