Senior ML/AI Engineer

About the RoleJoin a fast-growing, AI-native consumer intelligence platform serving the world's largest retailers and brands. This is a rare opportunity to work at the intersection of cutting-edge AI research and real enterprise deployment — building the intelligent systems at the very core of the product. The platform reasons, forecasts, and acts autonomously across complex enterprise data landscapes, delivering demand forecasting, consumer intelligence, competitive analysis, and autonomous decision-making at <scale.You>'ll be a senior technical owner on a small, high-caliber engineering team, with direct impact on product and architecture decisions.What You'll DoDesign, build, and deploy ML models for demand forecasting, time series prediction, consumer sentiment analysis, and anomaly detection at enterprise scaleDevelop and iterate on the platform's agentic AI architecture — building systems that reason across heterogeneous data sources and take autonomous actionBuild and maintain robust ML pipelines: data preprocessing, feature engineering, model training, evaluation, and production deploymentArchitect RAG systems and LLM integrations that power natural language interfaces and autonomous workflowsCollaborate with backend engineers to ensure models are production-grade — optimized for latency, reliability, and scaleOwn model performance end-to-end: monitoring, retraining, and continuous improvement in productionStay at the frontier of AI research and bring relevant innovations into the platformWhat We're Looking ForRequired5+ years of experience in Machine Learning roles, with significant experience designing and building ML systems architectureM.S. or Ph.D. in Computer Science, Machine Learning, or a related fieldExtensive hands-on experience with Python and its ML ecosystem (e.g. PyTorch, TensorFlow, scikit-learn, LangChain)Proven production experience building and deploying end-to-end ML systemsExperience building agentic AI harnesses for production use casesStrong foundational ML knowledge beyond LLM application (classical ML, statistics, time series, etc.)Experience with graph databasesProficiency with SQLNice to HaveExperience working in startup environments or at large-scale tech companiesExperience with GoVisa sponsorship is not available for this role.LocationThis role is fully on-site in New York, NY (5 days/week in office). Candidates must be based in New York or willing to relocate. No visa sponsorship is available.Compensation & BenefitsBase salary: $170,000 – $230,000 USD annually, depending on experienceEarly-stage equity participationOpportunity to shape the technical direction of a high-growth AI platform from the ground up