Machine Learning Engineer

About this role

Cartesian seeks a Senior Machine Learning Engineer to own end-to-end ML solutions for indoor positioning and inventory visibility in retail. You'll design, deploy, and monitor deep learning models across hundreds of live stores, balancing research innovation with production rigor in a fast-moving MIT-founded startup.

What you'll do

• Design, develop, deploy, and monitor deep learning models for indoor positioning and item localization from concept to production
• Build and optimize training, inference, and evaluation pipelines for moving models from prototype to scale
• Optimize models and systems for accuracy, coverage, latency, and cost while managing trade-offs
• Develop benchmarking tools and datasets to measure real-world performance at scale
• Collaborate with applied scientists, engineering, and product teams to prioritize and ship features to enterprise customers
• Improve team engineering standards through reusable infrastructure and better design patterns

What they're looking for

• Deep learning and machine learning fundamentals (supervised/unsupervised learning, embeddings, evaluation metrics)
• Python and PyTorch for production code
• Data analysis and validation with strong data instincts
• Time-series modeling or probabilistic methods
• Computer vision or multi-sensor fusion
• ML model optimization for mobile or resource-constrained environments
• Cloud-based model training and inference
• Cross-functional collaboration and communication