Senior ML/AI Engineer

Job description

### About the Role This is a senior individual contributor role on the core AI team of an early-stage, AI-native consumer intelligence platform. You'll design and deploy the intelligent systems — from demand forecasting models to agentic reasoning architectures — that deliver real, measurable value for large enterprise retail clients. The work sits squarely at the intersection of applied research and production-grade deployment. ### 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 an agentic AI architecture that reasons across heterogeneous data sources and takes autonomous action. - Build and maintain end-to-end ML pipelines covering 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 meet production standards for latency, reliability, and scale. - Own model performance end-to-end: monitoring, retraining, and continuous improvement in production. - Stay current with AI research and bring relevant innovations into the platform. ### What We're Looking For - 3+ years of hands-on ML experience, focused on building and delivering production ML systems (not primarily software engineering with minimal ML exposure). - Deep proficiency in Python and at least one major ML framework (PyTorch, TensorFlow, or equivalent). - Production experience building agentic systems and LLM harnesses (e.g. using LangChain or similar). - Hands-on experience with graph databases. - Strong SQL skills for data querying and manipulation. - M.S. or Ph.D. in Computer Science, Machine Learning, or a closely related field. - Background working at scale — large tech companies or high-growth startups with live, production ML systems. - Go programming language experience is a plus. ### Compensation & Benefits Base salary range: **$170,000 – $230,000 USD** annually. Visa sponsorship is not available for this role. ### Location On-site in **New York, NY, USA**.