Ping Data Intelligence is a dynamic, three-year-old startup in Miami, FL, revolutionizing the property insurance sector with advanced machine learning technologies. Despite rapid growth, we retain the stability of a self-funded, profitable company.
Role Overview: As a Senior Machine Learning Engineer at Ping, you will enhance and develop the core ML systems that handle data extraction from noisy, semi-structured documents. You will work with extensive datasets and have the freedom to acquire additional data or annotations. This position empowers you to influence the future of our ML operations.
Responsibilities: Lead the creation and optimization of ML systems for extracting data from multimodal documents. Oversee projects from inception through deployment, including identifying opportunities, gathering data, conducting experiments, and managing production rollouts. You'll have the flexibility to select the most effective tools, whether they are large language models or classical data processing methods.
Qualifications: Master's or PhD degree in a related field such as computer science, machine learning, or data science is required. Minimum 2 years of experience in machine learning, with a track record of deploying ML models to production. Strong background in applying ML techniques to complex, real-world problems.
Preferable: proven track record of significant publications
Tech Stack: Pytorch, Transformers, Label Studio, Terraform/AWS, Python/Django/DRF, React/Redux/Typescript, Kubernetes/ECS, Redis, PostgreSQL.
Why Join Ping: Be among the first to influence the ML team's direction and the broader engineering culture at Ping. Work with a top-tier team of insurance and tech veterans in a market where Ping is poised for significant impact.