Senior Anti-Fraud Engineer | Build Defenses & ML Pipelines

Toloka; United States; Remoto; USD 120.000 - 180.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote or hybrid work

Competitive compensation

ESOP

Paid PTO

IT setup allowance

Career development

Descrizione del lavoro

Toloka AI is seeking a data-centric anti-fraud engineer to join our remote-first team. You will analyze vast data, identify fraud patterns, and translate insights into defenses using rules, heuristics, ML models, and LLM-based approaches.

Work at the intersection of analytics and applied ML, building scalable data pipelines (SQL, Python, Airflow) and dashboards, with strong focus on protecting users while maintaining a smooth experience.

Competenze

• Frame vague problems, pick right metrics, derive conclusions from data.
• Generate testable hypotheses from data and validate them.
• Write efficient SQL queries over large datasets.

Mansioni

• Explore data to uncover fraud patterns and insights.
• Design metrics and dashboards to visualize protection effectiveness.
• Develop hypotheses, test them rigorously, and implement production solutions.
• Build features, train and evaluate ML models, and deploy them to production.
• Create and maintain data pipelines (SQL, Python, Airflow).
• Anticipate bypass risks and design defenses that withstand testing.

Conoscenze

Analytical thinking

Hypothesis-driven

SQL

Python

ML models

Product sense

Strumenti

Airflow

ClickHouse

Databricks

Descrizione del lavoro

Toloka AI is seeking a data-centric anti-fraud engineer to join our remote-first team. You will analyze vast data, identify fraud patterns, and translate insights into defenses using rules, heuristics, ML models, and LLM-based approaches.

Work at the intersection of analytics and applied ML, building scalable data pipelines (SQL, Python, Airflow) and dashboards, with strong focus on protecting users while maintaining a smooth experience.