Data Engineer

We're hiring engineers who think in systems, not features. Join us in building the AI infrastructure for America's biggest industries. Software Engineer Develop full-stack features for our AI-powered property analysis platform. Key Qualifications Experience building RESTful APIs and working with databases Understanding of web performance and scalability ML Researcher Advance the state of the art in computer vision and property analysis. Key Qualifications PhD or equivalent experience in ML, Computer Vision, or related field Strong publication record or demonstrated research impact Deep understanding of modern ML architectures (transformers, diffusion models) ML Deployment Engineer Deploy and optimize machine learning models that analyze property images at scale. Key Qualifications Experience deploying ML models in production Strong Python skills and ML framework expertise (PyTorch, TensorFlow) Understanding of model optimization and inference at scale Infrastructure Engineer Build reliable, scalable infrastructure for AI workloads and production services. Key Qualifications Experience with cloud platforms (AWS, GCP, or Azure) Strong understanding of containers, orchestration (Kubernetes, ECS) Knowledge of Infrastructure as Code (Terraform, CloudFormation) Data Engineering Key Qualifications Experience with data pipelines (Airflow, dbt, or similar) Strong SQL and Python skills Knowledge of cloud data warehouses (Snowflake, BigQuery, Redshift) Benefits Access to world-class mentorship and resources from MIT's innovation ecosystem. Work on trillion-dollar markets where AI can make a measurable difference. Early Stage Impact. MIT Sandbox Backed. #J-18808-Ljbffr