- Grammarly (San Francisco, CA)
- A prominent technology company based in California is seeking a Machine Learning Engineer focused on detecting fraudulent content. You will lead the creation of ... content, ensuring safe collaboration. The ideal candidate will have a deep understanding of ML and NLP, a degree in Computer Science, and at least 5 years of… more
- Grammarly (San Francisco, CA)
- Join to apply for the Machine Learning Engineer , Fraud & Abuse role at Grammarly . Superhuman offers a dynamic hybrid working model for this role. This ... tasks, leveraging Superhuman ubiquitous UI. As a Machine Learning Engineer on this team, you will be at the...Integrate Leading AI Approaches: Operate at the forefront of fraud prevention by leveraging the latest advances in NLP… more
- Gemini (San Francisco, CA)
- …contributor role. Responsibilities Analyze large, complex datasets to identify key fraud indicators and engineer predictive features using internal and ... machine learning models to identify and prevent fraud , including payment fraud , account takeovers and identity abuse . Build and maintain end‑to‑end data… more
