Note: The job is a remote job and is open to candidates in USA. Middesk is a company transforming business identity verification since 2018, making it easier for businesses to work together. They are seeking a hands-on engineer to build AI-driven applications that simplify customer workflows, focusing on fraud and risk systems while tackling real-world data challenges.
Responsibilities
- Build fraud & risk systems
- Design and ship production systems that detect and prevent fraud across KYB, trust & safety, and compliance workflows
- Work with messy, real-world data
- Tackle problems with extreme class imbalance, sparse signals, evolving adversarial behavior, and limited ground truth
- Leverage relationships in data
- Apply graph-based approaches and entity resolution techniques to uncover hidden connections and improve risk detection
- Improve signal & labeling
- Use a mix of heuristics, weak supervision, and modern AI tools (including LLMs where appropriate) to generate better features and labels
- Help scale our infrastructure
- Partner with engineering to build and evolve systems for feature generation, model training, and production deployment across multiple use cases
Skills
- 4+ years of experience in fraud, risk, or trust & safety
- Experience building and shipping production systems
- Strong foundation in applied ML or data systems
- Experience with graph or relational data approaches
- Hands-on and pragmatic
- Familiarity with knowledge graphs, network analysis, or entity linking
Company Overview
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