Machine Learning Engineer

The ReWork Group partners with high-growth startups and forward-thinking companies to build the future. They are seeking a Machine Learning Engineer to design, build, and deploy ML models that operate at enterprise scale, focusing on various applications including demand forecasting and anomaly detection.

Responsibilities:

• 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 our agentic AI architecture — systems that reason across heterogeneous data sources and take autonomous action
• Own robust ML pipelines end to end — data preprocessing, feature engineering, model training, evaluation, and production deployment
• Architect and sharpen our production graph RAG system — one of their core technical differentiators
• Build RAG systems and LLM integrations that power natural-language interfaces and autonomous workflows
• Partner with backend engineers to make models genuinely production-grade — tuned for latency, reliability, and scale
• Own model performance in the wild — monitoring, retraining, and continuous improvement once it's live
• Stay at the frontier of AI research and pull the innovations that actually matter into the platform

Requirements:

• 5+ years of experience in applied machine learning and AI, with models deployed and running in production environments
• M.S. or Ph.D. in Computer Science, Machine Learning, Statistics, or related field (or equivalent practical experience — what you've built matters more than the degree)
• Deep proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, scikit-learn)
• Experience with NLP, LLMs, and RAG architectures