Machine Learning Engineer I | Careers | Abnormal AI Skip to main content Why Abnormal Platform Behavioral Security Platform Overview Email Security Inbound Email Security Stop phishing & malware Account Takeover Protection Detect compromised accounts AI Security Mailbox Autonomous triage & response Email Productivity Reduce unwanted email AI Phishing Coach Train users in real-time Posture Management Identify misconfigurations Messaging Security Protect Slack, Teams & more Misdirected Email Prevent data leakage Identity & AI Security Identity Threat Protection Stop identity threats AI Security Secure AI transformation Infiltration Prevention Keep bad actors out Platform Attune Behavioral AI Foundation Model Integrations Connect your stack AI Data Analyst Insights on demand Product Resources Product Tours Explore interactively Demo Videos See our Platform in action What's New Latest updates Solutions Solutions Overview By Industry Financial Services Prevent fraud & protect customers Healthcare Secure patient data & care delivery Manufacturing Protect production from cyber threats Retail / Hospitality Stop fraud across every transaction Technology / IT Protect users & critical systems Public Sector Defend agencies from modern threats Education Secure campuses, students, & staff By Use Case Prevent BEC & Impersonation Stop executive fraud Detect QR Code Attacks Block quishing threats Stop Generative AI Attacks Defeat AI-crafted threats Prevent Account Takeover Protect cloud apps Displace Your SEG Modern email security Automate SOC Operations Reduce analyst workload Mitigate Cybercrime Losses Protect the bottom line Customers Customers Customer Stories Learn how leading organizations win with Abnormal. Customer Love See what customers are saying about Abnormal Support Support Portal Get help & submit tickets Featured CUSTOMER STORY Valvoline Replaces SEG with Autonomous AI to Stop Evolving Threats Resources Resources Resource Center Analyst Reports White Papers Data Sheets On-Demand Webinars Industry Briefs Thought Leadership Abnormal Blog Stay ahead of emerging cyber threats & security trends. Learning Center Find deep dives & technical education Cybersecurity Glossary Understand cybersecurity concepts, terminology, & attack techniques. SOC Unlocked Podcast Weekly SOC practitioner interviews Abnormal Intelligence Threat Intelligence Digest Explore original research, threat insights, & expert analysis. Featured REPORT 2026 Report Details How Threat Actors Tailor Their Tactics Company Company Overview Company
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About
the Role Abnormal AI is seeking a Machine Learning Engineer - I (MLE) to join the Misdirected Email Detection (MED) team. The MED team plays a critical role in preventing accidental data loss by detecting and blocking misdirected outbound emails, delivering protection at scale without adding operational burden to customer SOCs. This is a highly applied role for MLEs who thrive on building, iterating, and experimenting. Rather than focusing solely on model training, you will also be responsible for developing practical, end-to-end ML solutions. This includes but is not limited to generating and refining features, testing hypotheses, averaging signals, and translating research ideas into production-grade systems, all while collaborating cross-functionally to turn customer needs into measurable product improvements. The ideal candidate combines a tinkerer's mindset with technical rigor, balancing innovation with production excellence to drive experimentation, scale solutions, and deliver reliable detection capabilities that create meaningful customer impact in real-world environments. What you will do Partner with Product Manager, Tech Lead and engineering stakeholders to align technical deliverables to roadmap milestones and ensure successful GA launches across supported environments. Own the full ML lifecycle for Misdirected Email, including data wrangling, feature engineering, model training and evaluation, deployment, and monitoring. Deliver iterative improvements with measurable reliability and customer impact. Run rigorous experiments and evaluations (offline metrics, online A/B testing, post-launch monitoring), set thresholds, and conduct targeted error analysis to prevent regressions. Communicate effectively across time zones, maintain high-quality technical documentation, and contribute to shared team knowledge. Participate in shared on-call rotation for owned components, with
responsibilities focused on detection efficacy and realtime scoring systems. Priorities include resolving efficacy-related alerts, investigating high-visibility false positives, and addressing reported false positives/false negatives from customers or internal teams. Must Haves BS degree in Computer Science, Machine Learning, Artificial Intelligence, Information Systems, or a related engineering or quantitative field. 1+ years building and operating applied ML features in production systems. Proven experience contributing to end-to-end ML systems, including data wrangling (text and structured), feature engineering, model selection, training, evaluation, and production deployment with monitoring. Demonstrated ability to implement and reason about algorithms, develop features, average and combine signals, and apply numerical computing effectively. Demonstrated ability to interrogate production data, identify behavioral or trend shifts, and launch targeted experiments to improve model efficacy. Understanding of online vs offline pipelines, data tables and labeling workflows to effectively leverage tooling to support safe, scalable model deployments. Experience running offline metrics, online A/B tests, setting thresholds, and monitoring drift and performance, with guardrails and rollback strategies to ensure reliable iteration. Strong written and asynchronous communication skills. Effective working independently and across distributed, cross-functional teams.
Nice to Have Experience with our stack: Python, Go, AWS, Spark, Databricks Experience in email security/DLP or misdirected email prevention domains and customer-focused ML deployments. Experience writing detectors/rules to complement ML models for safe launches and rapid iteration. Experience with operationalising research into reliable, customer-facing systems, with emphasis on scalability, performance, and detection accuracy in real-world environments. Prior experience contributing to a small team or project to deliver a feature or component from scratch. #LI-UC1 AI and our hiring process Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role
requirements to suggest interview questions and identify areas for the interviewer to explore. They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here . If you would like more information on your EEO rights under the law, please click here . About Abnormal Abnormal protects the humans behind the world's most critical organizations from AI-powered cybercrime. 4,500+ enterprises trust our behavioral AI platform. Learn More Imposter Alert Please be aware of individuals fraudulently posing as Abnormal recruiters. All official recruiting communication comes from an @abnormal.ai email address, and we will never request payment or sensitive financial information during the hiring process. If something feels off, verify
the role on this careers site before responding. Export Compliance Notice: This position involves access to technology that is subject to the U.S. Export Administration Regulations (EAR). As a result, candidates offered employment must be eligible to access controlled technology under U.S. export control laws. Employment in this position is conditioned on the availability of government authorization. The Company may delay commencement of employment, rescind an offer of employment, terminate employment, as Company deems appropriate, in order to ensure compliance with applicable government access control restrictions. As part of Abnormal AI's secure hiring practices, we conduct video interviews and validate applicant identity at various stages through our recruitment process. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards. Abnormal AI is committed to protecting your privacy. Please review our Abnormal AI Applicant Privacy Policy for full information about how Abnormal AI uses your personal information. By submitting an application you confirm that you have read and understand the Abnormal AI Applicant Privacy Policy . Apply for Machine Learning Engineer I Submit your application below. We review every submission and typically respond within two weeks.
Compensation Disclaimer: The base salary range for this position is dependent on the candidate's experience, skills,
qualifications, and location. The actual offer may vary. In addition to base salary, this role is eligible for equity, annual
bonus, and
benefits. Equal Employment Opportunity: Abnormal Security is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. Privacy: By submitting your application, you agree to the processing of your personal data in accordance with our Privacy Policy . Back to Open Roles Behavioral AI that protects email, identity, and AI—and stops insider threats. Request a Demo Platform Email Security AI Security Mailbox AI Phishing Coach Integrations Solutions Solutions by Use Case Solutions by Industry Customers Customer Stories Customer Love Support Portal Resources Blog Learning Center Abnormal Intelligence Glossary Company
