Applied ML Engineer
About the role
End-to-end AI agents for property claims, from loss report to estimate. Role focuses on building the data platform, training production ML models, and delivering a live, end-to-end claims solving pipeline.
Responsibilities
- Build the claims data platform from scratch: ingestion, schema design, feature pipelines, storage and orchestration that a growing team inherits
- Ship the first estimation models to production and iterate against live claim outcomes
- Design the labeling and evaluation strategy for data where the label is a negotiated number, because getting the metric wrong here is worse than getting the model wrong
- Wire model outputs into the agents running live claims, working with our forward deployed team during real go-lives
- Build the tooling that lets a one/two-person ML effort move like ten: training pipelines, experiment tracking, serving, monitoring
- Extend into the industry-first layer as the foundation solidifies: scope prediction from field photos and call transcripts, supplement and leakage detection
Qualifications
- 2 to 6 years shipping ML systems to production, with the pipeline scars to prove it
- Excellent data engineering: Python, SQL, dbt or Spark or the equivalent, pipelines that survive schema drift and malformed real-world exports, comfort owning infrastructure end to end
- Strong applied ML on tabular and structured data
- You know when gradient boosting beats a neural network and you reach for the boring model that wins
- Rigour about labels and leakage
- Bias for production over polish
- Evidence we can inspect: systems you built, data platforms you owned, open source, a writeup of a hard pipeline problem you solved
- Excited to get close to the domain: reading estimates, sitting with adjusters, learning why a water mitigation claim prices the way it does
Skills
About Cozmo AI
Multimodal AI Employees That See, Speak, Think and Do for Enterprises
Cozmo AI is building the platform for regulated enterprises to deploy their own AI employees. Cozmo is a system of work for complex enterprise operations. Companies use Cozmo to build and deploy AI employees, which are a collection of agents that own workflows end to end. They talk to customers, read documents, interpret videos, apply company policies and update systems like Guidewire, Temenos and Salesforce, pulling humans into the loop only when real judgment or escalation is needed. Every decision the AI employee makes is logged, including its reasoning and policy reference, providing a complete audit trail for compliance and operations without additional manual effort. This is managed by our proprietary Agent Protocol Engine (APE), the control layer that keeps shared context, enforces policy and ensures every step is tracked for regulated industries. Cozmo is live with 10+ enterprises, including Fortune Global 500s, like Nestlé, and has already handled over 1M production calls and 10M interactions; cutting costs by up to 70% and turning roughly 1 in 13 conversations into revenue.
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