Staff+ Software Engineer, Account Abuse (Machine Learning)

Location: San Francisco, CA or New York City, NY; hybrid policy requires staff to work from an office at least 25% of the time

Annual salary: $320,000–$485,000 USD

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

• Build and operate a feature computation platform supporting model training and real-time scoring.
• Train, evaluate, and deploy models for account-level abuse and fraud detection.
• Develop tooling to automate feature development, training, and evaluation, including the use of Claude.
• Establish backtesting, shadow deployment, staged rollout, and monitoring for drift, skew, and adversarial adaptation.
• Improve label coverage and quality with data scientists and the Policy & Enforcement team.
• Integrate model decisions with product and platform systems while protecting latency, stability, and architecture.

Requirements

• Proficiency in Python and SQL.
• Experience training machine learning models and deploying them to production.
• Experience building data pipelines with batch processing engines such as Spark or Beam and workflow schedulers such as Airflow.
• Understanding of point-in-time correctness and training-serving skew, including how to prevent both.
• Strong communication skills and the ability to explain technical tradeoffs to non-technical stakeholders.
• Bachelor’s degree or equivalent education, training, or experience in a relevant field.

Nice to have

• Experience with feature platforms such as Chronon, Feast, or Tecton.
• Experience with stream processing engines such as Flink, Beam/Dataflow, or Kafka Streams.
• Experience with fraud, risk, ranking, integrity, spam, or abuse detection systems.
• Experience with tree-based, unsupervised, clustering-based, or graph-based detection models.
• Experience handling scarce, delayed, or noisy labels and automating ML workflows.

Culture & Benefits

• Collaborative environment focused on large-scale AI research and safety.
• Flexible working hours and an office environment for collaboration.
• Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
• Visa sponsorship is available, subject to role and candidate eligibility.