United States onlyThis position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Machine Learning Engineer, Security in the United States.
This role offers the opportunity to apply advanced machine learning techniques to strengthen security, detect threats, and prevent platform abuse in a fast-paced, high-impact environment. You will design, build, and deploy ML models that analyze complex datasets, detect anomalous behavior, and enhance user trust. Collaborating closely with cross-functional teams, you will integrate ML-driven solutions into existing workflows and real-time systems. This position combines hands-on engineering, data science, and security expertise to protect users and ensure platform integrity. The role supports a culture of proactive threat mitigation and continuous improvement across cloud and data platforms.
Accountabilities
- Design, develop, and deploy ML models to detect and mitigate security threats, including phishing, account takeovers, and malicious activity.
- Build algorithms for anomaly detection, behavioral analysis, predictive modeling, and adversarial risk signals.
- Develop graph, clustering, and other ML-based approaches to identify coordinated malicious activity.
- Collaborate with Threat Intelligence, Trust & Safety, and Security Engineering teams to prioritize ML initiatives.
- Integrate ML models into existing platforms and workflows, automating security response where possible.
- Analyze large-scale datasets from diverse sources, including user telemetry and external threat feeds.
- Participate in on-call rotations as required to support platform security and incident response.
Requirements
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field.
- 8+ years of experience designing, building, and deploying ML models for security-focused use cases.
- Proficiency with Python, Scala, or Java for ML development and deployment.
- Experience with real-time data processing frameworks such as Apache Kafka, AWS Kinesis, or Google Pub/Sub.
- Expertise in graph-based ML, clustering techniques, and graph neural networks (GNNs) for detecting coordinated malicious activity.
- Familiarity with scalable data systems (e.g., Databricks, Spark, data lakes) and security signals.
- Strong understanding of security domains such as phishing detection and account takeover prevention.
- Preferred: Experience applying ML to threat detection, predictive modeling, and behavior analysis in production environments.
Benefits
- Competitive compensation based on US location zone ($189,000–$287,700 USD).
- Remote-friendly work environment with flexibility and collaboration across teams.
- Opportunity to work on high-impact security and trust initiatives.
- Exposure to cutting-edge ML and data technologies in a security context.
- Participation in cross-functional teams with career development opportunities.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.
The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company offering the position. The final decision and next steps (such as interviews or additional assessments) are handled by their internal hiring team.
United Kingdom only
