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.