About Us:
SentinelOne is defining the future of cybersecurity through our XDR platform that automatically prevents, detects, and responds to threats in real-time. Singularity XDR ingests data and leverages our patented AI models to deliver autonomous protection. With SentinelOne, organizations gain full transparency into everything happening across the network at machine speed – to defeat every attack, at every stage of the threat lifecycle.
We are a values-driven team where names are known, results are rewarded, and friendships are formed. Trust, accountability, relentlessness, ingenuity, and OneSentinel define the pillars of our collaborative and unified global culture. We're looking for people that will drive team success and collaboration across SentinelOne. If you’re enthusiastic about innovative approaches to problem-solving, we would love to speak with you about joining our team!
What Are We Looking For?
Since its inception, SentinelOne has been on a mission to make Security autonomous; to transform security operations from a reactive, high stakes grind into strategic, highly skilled knowledge work.
We are looking for a Senior AI Research leader who can grow and inspire teams of globally-distributed researchers and engineers, to further advance that mission. As part of the AI Center of Excellence within the Engineering organization, the AI Research team undertakes both tactical and strategic projects, aimed at delivering products and enhancing SentinelOne’s AI capabilities.
The ideal candidate will have:
- a track record of turning AI/ML research into successful capabilities
- a strategic understanding of the Security applications of AI/ML technology
- demonstrated ability to lead teams of Researchers and Engineers
- strong software engineering fundamentals
- experience in the training and tuning of large multi-modal models
What Will You Do?
You'll collaborate primarily with the AI Platform team to develop net new capabilities that will be used across SentinelOne’s industry-leading platform. In the course of this, you will:
- Take responsibility for the planning and delivery of long and short term research projects, including:
- Improving assistant behavior through privacy preserving feedback
- Automatic gathering of threat and process intelligence
- Methods for ranking diverse work items to maximise security
- Novel LLM-based detection frameworks
- Provide technical Leadership and Guidance: establishing research and coding standards, system design principles, and best practices; guiding your teams in overcoming technical challenges while ensuring that our research base remains efficient and maintainable
- 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; ensuring that technical options and decisions, and project timelines, are clearly communicated to all stakeholders
- 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; fostering a culture of continuous learning and skill development; mentoring more junior colleagues
What Skills and Experience Will You Need?
- 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.
Candidates with any of the the following will be preferred:
- 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.
Why Us?
- You will be joining a cutting-edge company, where you will tackle extraordinary challenges and work with the very best in the industry
- 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
- Numerous company-sponsored events including regular happy hours and team-building events
This U.S. role has a base pay range that will vary based on the location of the candidate. For some
locations, a different pay range may apply. If so, this range will be provided to you during the recruiting
process. You can also reach out to the recruiter with any questions.
Base Salary Range
$237,300—$355,950 USDSentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.