ML Engineer – Verifications

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and implement models to identify and flag suspicious activities using classification, anomaly detection, clustering, ranking, and other relevant methods.

• Manage machine learning pipelines comprehensively, covering feature generation, training, evaluation, batch/streaming inference, backfilling, and version control.

• Create evaluation and monitoring frameworks: establishing ground truth strategies in conjunction with Threat Intelligence, offline metrics, drift monitoring, and alert notifications.

• Work closely with product and engineering teams to incorporate intelligence into user-oriented workflows, such as review queues and decision-support tools.

• Enhance data quality and accessibility by collaborating with data engineering practices, including schemas, lineage, reproducibility, and access controls.

• Contribute to operational excellence by developing runbooks, managing incident responses, and implementing safe rollout procedures for systems that affect customer trust.

⛳️ Requirements

• Over 4 years of experience in building software ML systems for production environments.

• Background in fraud detection, abuse prevention, trust and safety, risk management, or security analytics.

• Familiarity with modern ML/DS workflows, including experimentation, evaluation, and deploying models relied upon by other teams.

• Comfortable navigating data pipelines and dealing with complex real-world data issues such as instrumentation gaps, bias, label noise, and evolving definitions.

• Prioritize reliability and safety by considering rollbacks, guardrails, human-in-the-loop reviews, and auditability.

• Ability to communicate effectively across various disciplines and translate ambiguous investigative requirements into well-defined engineering tasks.

• Pragmatic mindset: discerning when to initiate with a baseline and when to invest in more robust modeling and infrastructure.

🏝️ Benefits

• Remote-first work environment within the United States.

• Biannual offsite gatherings in exciting locations; previous destinations include Seattle, Miami, Nashville, and San Francisco.

• Competitive salary with significant equity options.

• Unlimited paid time off plus 14 company holidays.

• 12 weeks of fully paid parental leave, accompanied by a flexible return-to-work policy.

• Comprehensive medical, dental, and vision insurance plans.

• 401(k) retirement savings plan.