Staff Software Engineer Account Abuse Machine Learning Jobs in San Francisco, CA

As a software engineer on this team, you will build the machine learning systems that help us detect and stop abuse at scale.

engineering experience (not including internships and co-ops), preferably with a focus on integrity, spam, fraud, or abuse detection.

Role Overview We are hiring Machine Learning Engineers (Autonomy) to build the autonomy and sensor-integration software that lets our

…work at the intersection of machine learning, large-scale distributed systems, and AI safety, developing the platforms and tools that enable our safeguards

…Two Dots is hiring a Machine Learning Engineer for a low-headcount, high-impact role focused on technically difficult applied ML problems

…Description You are an experienced software engineer who builds the systems that power large-scale ML training.

…role, you’ll partner closely with Machine Learning Engineers and Data Scientists to uncover new signals, explore and evaluate innovative modeling

As a Staff Machine Learning Engineer, you will lead the technical strategy and development of Plaid’s foundation models, driving key decisions across

As a software engineer on the Safeguards team, you will work to monitor models, prevent misuse, and ensure user well-being.

…inference infrastructure that powers our machine learning models.

We are looking for a software engineer with anti fraud & abuse experience to help architect and build our next-generation anti-fraud systems.

Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment.

, subscription and trial abuse, promotional abuse, and friendly fraud Understanding of fraud loss accounting — fraud loss vs. dispute fees vs. card network

…research scientists with experience in machine learning and natural language processing.