Senior ML Engineer — Indoor Positioning & Localization

Cartesiansystems; Cambridge (MA); On-site; USD 140,000 - 210,000; Full time

Job summary

Cartesian is a MIT-linked startup building spatial intelligence for indoor environments, seeking a Senior Machine Learning Engineer for end-to-end ML work across live stores. You will frame data problems, develop models, and drive production readiness with a strong emphasis on quality and impact.

You will own pipelines from prototype to production, optimize models for latency and cost, and collaborate with cross-functional teams to deliver features to enterprise customers.

Qualifications

• 5+ years of applied ML experience with shipped projects.
• Strong Python and production-grade PyTorch skills.
• Excellent data intuition and ability to validate results.
• Clear communication and collaboration across teams.
• Thrives in fast-paced startup environments with high technical standards.

Responsibilities

• Design, develop, deploy, and monitor ML models for indoor positioning and item localization end to end.
• Build and optimize training, inference, and evaluation pipelines for production.
• Balance accuracy, latency, and cost while improving systems.
• Create datasets and tooling to benchmark performance at scale.
• Collaborate with engineering and product teams to ship features to customers.

Skills

Machine Learning

Python

PyTorch

Data analysis

Education

BSc/MSc in CS or EE

Tools

PyTorch

FastAPI

Kubernetes

Azure

Postgres

Job description

Cartesian is a MIT-linked startup building spatial intelligence for indoor environments, seeking a Senior Machine Learning Engineer for end-to-end ML work across live stores. You will frame data problems, develop models, and drive production readiness with a strong emphasis on quality and impact.

You will own pipelines from prototype to production, optimize models for latency and cost, and collaborate with cross-functional teams to deliver features to enterprise customers.