Senior ML Engineer - Account Abuse & Fraud Detection

Diiirect Inc.; New York (NY); Hybrid; USD 320,000 - 485,000; Full time

Job summary

Anthropic is seeking a software engineer for the Account Abuse team to build ML systems that detect and stop abuse at scale. You will contribute to feature computation, model training, evaluation, and production deployment, with an emphasis on safety, precision, and low latency.

This role requires hands-on experience with Python/SQL, data pipelines, and production ML, and offers exposure to Claude integration, cross-functional collaboration, and a mission to make AI systems safer for users.

Qualifications

• Proficiency in Python and SQL.
• Experience training machine learning models and deploying them to production.
• Experience building data pipelines with a batch processing engine (e.g., Spark, Beam) and a workflow scheduler (e.g., Airflow).
• Working understanding of point-in-time correctness and training / serving skew, and how to prevent both.
• Strong communication skills and ability to explain technical tradeoffs to non-technical stakeholders.

Responsibilities

• Build and operate a feature computation platform that serves both model training and real-time scoring, with point-in-time correct training data and low-latency online retrieval.
• Train, evaluate, and deploy models that detect account-level abuse and fraud, running them both offline and online.
• Build tooling that automates more of the model development lifecycle, including using Claude to speed up feature development, training, and evaluation.
• Make backtesting, shadow deployment, and staged rollout the default path to production, with monitoring for training / serving skew, drift, and adversarial adaptation.
• Work with our data scientists and our Policy & Enforcement team to improve label coverage and quality.
• Partner with product and platform teams to gather signals and integrate model decisions with minimal impact on their systems' latency, stability, or overall architecture.

Skills

Python

SQL

ML models

Data pipelines

Airflow

Spark/Beam

Point-in-time

Communication

Education

Bachelor's degree

Tools

Chronon

Feast

Tecton

Flink

Dataflow

Kafka Streams

AutoML

Job description

Anthropic is seeking a software engineer for the Account Abuse team to build ML systems that detect and stop abuse at scale. You will contribute to feature computation, model training, evaluation, and production deployment, with an emphasis on safety, precision, and low latency.

This role requires hands-on experience with Python/SQL, data pipelines, and production ML, and offers exposure to Claude integration, cross-functional collaboration, and a mission to make AI systems safer for users.