Requirements

• Advanced degree (Master’s or PhD) in Computer Science, Data Science, Mathematics, Physics, or related STEM field, OR Bachelor’s degree with equivalent experience
• 5+ years of experience in data science and machine learning, with at least 2 years in a technical leadership or team lead capacity
• Proven track record of leading ML projects from research to production deployment
• Strong understanding of cybersecurity concepts, threat landscape, and security operations
• Programming proficiency in Python and experience with ML frameworks and big data technologies
• Experience mentoring and developing data scientists and ML engineers
• Demonstrated ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders

Nice to Haves

• Deep expertise in cybersecurity, including experience in threat intelligence, malware analysis, or security operations
• Experience with agentic AI systems, LLMs, or autonomous security automation
• Track record of working with very large, sparse, high-dimensional datasets in production environments
• Experience with advanced ML techniques including semi-supervised learning, online learning, and model optimization for reducing false positives
• Strong knowledge of ML operations, including model monitoring, A/B testing, and production ML infrastructure
• Comfortable working in cloud environments (AWS) and Linux systems
• Proven ability to set technical vision and drive innovation in ML systems
• Experience hiring, building, and scaling high-performing data science teams
• Strategic mindset with ability to balance research exploration with pragmatic business outcomes
• Published research, patents, or contributions to the ML or security communities

What You'll Be Doing

• Lead and mentor a team of 3 data scientists, providing technical guidance, career development, and performance management
• Establish technical standards and best practices for ML development, deployment, and monitoring
• Define and drive the technical strategy for machine learning initiatives in threat detection and agentic AI for security
• Lead ML projects from initial research through production deployment, ensuring successful delivery and measurable impact
• Plan and prioritize team roadmaps, balancing research innovation with delivery of production ML systems
• Stay current with emerging trends in ML and cybersecurity, and evaluate new technologies for potential adoption
• Collaborate with cross-functional teams including security research, engineering, and product to align ML capabilities with business objectives
• Partner with security domain experts to identify high-impact opportunities where ML can enhance threat detection and response
• Communicate complex technical concepts and ML insights to stakeholders across the organization
• Guide the development of advanced models for malware detection, behavioural threat analysis, and AI-driven security automation
• Drive research initiatives that result in publications, blog posts, patents, and other contributions to the ML and security communities
• Contribute to hands-on technical work when needed, maintaining deep expertise in ML systems and security applications

Perks and Benefits

• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees regardless of level or role
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
• Vibrant office culture with world class amenities
• Great Place to Work Certified™ across the globe