Machine Learning Engineer 1 (AI)

Location: Remote - Singapore

Company

hirify.global develops AI-powered email security products that prevent accidental data loss and protect customer environments.

What you will do

• Partner with Product, Technical Lead, and engineering stakeholders to align technical deliverables with roadmap milestones and support general availability launches.
• Own the full machine learning lifecycle for Misdirected Email Detection, including data wrangling, feature engineering, model training and evaluation, deployment, and monitoring.
• Run offline evaluations, online A/B tests, post-launch monitoring, threshold setting, and targeted error analysis to improve model efficacy and prevent regressions.
• Investigate behavioral and trend shifts in production data and deliver measurable reliability and customer-impact improvements.
• Participate in the shared on-call rotation for detection efficacy and real-time scoring systems, resolving alerts and investigating customer or internal false positives and false negatives.
• Maintain technical documentation, communicate across time zones, and contribute to shared team knowledge.

Requirements

• Bachelor’s degree in Computer Science, Machine Learning, Artificial Intelligence, Information Systems, or a related engineering or quantitative field.
• At least 1 year of experience building and operating applied machine learning features in production systems.
• Experience contributing to end-to-end machine learning systems, including text and structured data wrangling, feature engineering, model selection, training, evaluation, production deployment, and monitoring.
• Ability to implement and reason about algorithms, develop features, average and combine signals, and apply numerical computing effectively.
• Ability to interrogate production data, identify behavioral or trend shifts, and launch targeted experiments to improve model efficacy.
• Understanding of online and offline pipelines, data tables, and labeling workflows for safe and scalable model deployments.
• Experience with offline metrics, online A/B tests, threshold setting, drift and performance monitoring, guardrails, and rollback strategies.
• Strong written and asynchronous communication skills, with the ability to work independently and across distributed, cross-functional teams.

Nice to have

• Experience with Python, Go, AWS, Spark, or Databricks.
• Experience in email security, data loss prevention, or misdirected email prevention, including customer-focused machine learning deployments.
• Experience writing detectors or rules to complement machine learning models for safe launches and rapid iteration.
• Experience operationalizing research into reliable, customer-facing systems with emphasis on scalability, performance, and detection accuracy.
• Experience contributing to a small team or project that delivered a feature or component from scratch.

Culture & Benefits

• Remote work from Singapore.
• Collaboration across distributed, cross-functional teams and time zones.
• Shared team knowledge, technical documentation, and asynchronous communication practices.
• Pre-employment checks are required after a conditional offer.