Senior Machine Learning Engineer - Core AI Team

This is a senior individual contributor role on the core AI team of an early-stage, AI-native consumer intelligence platform serving large enterprise retail clients. You'll own the intelligent systems that power demand forecasting, consumer sentiment analysis, competitive benchmarking, and autonomous decision-making — applied AI with direct, measurable business impact.

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 robust ML pipelines covering data preprocessing, feature engineering, model training, evaluation, and production deployment.

• Architect RAG systems and LLM integrations powering 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 current with AI research and bring relevant innovations into the platform.

What We're Looking For

• M.S. or Ph.D. in Computer Science, Machine Learning, or a related field.

• 3+ years of ML-focused experience building and delivering production ML pipelines and systems architecture — not purely general software engineering.

• Deep proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or equivalent.

• Production experience building agentic systems or LLM harnesses for real-world use cases.

• Hands-on experience with graph databases (e.g. Neo4j, Amazon Neptune, or equivalent).

• Strong SQL proficiency for data querying and manipulation.

• Background at scale — large tech organizations, established ML teams, or early-stage ML-focused startups.

• Experience with the Go programming language is a plus.