Machine Learning Engineer

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

📋 Description

• Join the Misdirected Email Detection team to mitigate accidental data loss by identifying and preventing misdirected outbound emails.

• Develop, refine, and test practical, end-to-end machine learning solutions.

• Collaborate with Product Managers, Tech Leads, and engineering teams to ensure technical deliverables align with roadmap milestones and general availability launches.

• Take ownership of the entire machine learning lifecycle, encompassing data wrangling, feature engineering, model training and evaluation, deployment, and monitoring.

• Execute offline metrics, online A/B testing, post-launch monitoring, threshold setting, and targeted error analysis.

• Communicate effectively across time zones, maintain technical documentation, and contribute to the collective knowledge of the team.

• Engage in an on-call rotation to ensure detection efficacy and support real-time scoring systems.

• Address efficacy-related alerts, investigate false positives, and resolve false positives or negatives reported by customers or internal teams.

⛳️ Requirements

• Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Information Systems, or a related engineering or quantitative discipline.

• Over 1 year of experience in building and managing applied machine learning features within production systems.

• Proven experience in contributing to end-to-end machine learning systems, covering data wrangling, feature engineering, model selection, training, evaluation, deployment, and monitoring.

• Proficient in implementing and reasoning about algorithms, developing features, averaging and combining signals, and applying numerical computing.

• Skilled in analyzing production data, identifying behavioral or trend shifts, and conducting targeted experiments.

• Familiarity with online and offline pipelines, data tables, and labeling workflows.

• Experience in executing offline metrics, online A/B tests, setting thresholds, monitoring drift and performance, and employing guardrails and rollback strategies.

• Strong written and asynchronous communication abilities.

• Capable of working independently and effectively within distributed, cross-functional teams.

• Nice to have: Proficiency in Python, Go, AWS, Spark, and Databricks.

• Nice to have: Experience in email security, data loss prevention (DLP), or misdirected email prevention.

• Nice to have: Background in writing detectors or rules to complement machine learning models.

• Nice to have: Experience in operationalizing research into robust, customer-facing systems.

• Nice to have: Previous experience working in a small team or delivering a feature or component from inception.

🏝️ Benefits

• Pre-employment checks for conditional offers.

• Equal opportunity employment.