SentinelOne is hiring a
Senior Director, AI Research

Summary

Join SentinelOne, a cutting-edge cybersecurity company, as a Senior AI Research leader to grow and inspire teams of globally-distributed researchers and engineers, advancing the mission of making Security autonomous.

Requirements

• Master’s or Doctoral Degree in a quantitative science or engineering field
• 10+ years of experience solving complex problems using modern AI/ML techniques; at least five of them managing teams
• Experience with the full system development lifecycle, from requirement gathering, research, design, implementation, testing, through deployment/launch and operation
• Comfort working cross-functionally with Product and other Engineering teams
• Complete mastery of a subset of the languages, frameworks and tools currently used in the development of data intensive, machine learning systems, e.g. Spark, Airflow, Python, TensorFlow/PyTorch
• Ability to communicate project needs, status, outcomes and implications to technical and non-technical audiences, inside and outside the company

Responsibilities

• Take responsibility for the planning and delivery of long and short term research projects
• Provide technical Leadership and Guidance: establishing research and coding standards, system design principles, and best practices
• Drive Solution Architecture and Design: designing research programs and systems that meet the requirements of a diverse stakeholder group
• Lead Collaboration and communication: collaborating closely with other group members and stakeholders including project managers, product owners, and other engineering teams
• Model Continuous Learning and Skill Development: helping the group and the broader team to stay up-to-date with the latest tools and techniques in both the machine learning and security fields

Preferred Qualifications

• First-author publications at peer-reviewed AI conferences
• Expertise in natural language processing, especially practical experience developing or tuning modern, transformer-based language or multi-modal models
• Experience developing complex applications leveraging API-based LLMs
• Representation learning from scratch, especially for temporal sequences, multi-modal objects
• Lifelong learning systems driven by implicit and explicit product feedback
• Practical reinforcement learning techniques

Benefits

• Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA
• Unlimited PTO
• Industry-leading gender-neutral parental leave
• Paid company holidays
• Paid sick time
• Employee stock purchase program
• Disability and life insurance
• Employee assistance program
• Gym membership reimbursement
• Cell phone reimbursement