Senior ML/AI Engineer

About the Role Join a fast-growing, AI-native consumer intelligence startup (Series A/B stage) building the next generation of autonomous enterprise analytics. The platform doesn't just surface insights — it reasons, forecasts, and acts autonomously across complex enterprise data landscapes, serving some of the world's largest retailers and consumer brands. As a Senior ML/AI Engineer , you'll work at the intersection of cutting-edge research and real-world enterprise deployment, designing intelligent systems that drive measurable business impact at scale. This is applied AI at its most impactful. What You'll Do Design, build, and deploy ML models for demand forecasting, time series prediction, consumer sentiment analysis, and anomaly detection at enterprise scale Develop and iterate on the platform's agentic AI architecture — building systems that reason across heterogeneous data sources and take autonomous action Build and maintain robust ML pipelines: data preprocessing, feature engineering, model training, evaluation, and production deployment Architect RAG systems and LLM integrations that power natural language interfaces and autonomous workflows Collaborate with backend engineers to ensure models are production-grade — optimized for latency, reliability, and scale Own model performance end-to-end: monitoring, retraining, and continuous improvement in production Stay at the frontier of AI research and bring relevant innovations into the platform What We're Looking For Required (Dealbreakers): M.S. or Ph.D. in Computer Science, Machine Learning, or a related field 3+ years of hands-on, ML-focused experience (not purely software engineering with minimal ML exposure) 3+ years working in ML systems architecture, building and delivering production ML pipelines Deep proficiency in Python and ML frameworks such as PyTorch, TensorFlow , or equivalent No visa sponsorship available — candidates must be independently authorized to work Also Required: Production experience building agentic systems and harnesses Hands-on experience with graph databases Strong SQL proficiency for data querying and manipulation Nice to Have: Experience working at scale — large tech companies or high-growth startups with production ML systems (backgrounds from firms such as Meltwater, NielsenIQ, Qualtrics, Medallia, Kantar, or similar enterprise analytics/intelligence companies are a strong signal) Experience with the Go programming language Compensation & Benefits Salary: $170,000 – $230,000 USD annually, depending on experience Early-stage equity in a high-growth, AI-native company Location This is an on-site role based in New York, NY, USA . Candidates must be local or willing to relocate. Visa sponsorship is not available .