Principal ML Engineer - AI Research (Remote)
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?
We are continuously expanding the capabilities of SentinelOne, actively listening to customers and responding to their needs. We are looking for a Principal Machine Learning Engineer who will drive our core AI technologies and ensure we are always ahead of cybercriminals.
What Will You Do?
At SentinelOne, you'll be part of a team of globally distributed AI engineers and researchers, focused on bringing the most recent advances in machine learning technology to help our customers efficiently discover and defeat threats. You will collaborate across multiple engineering teams to design and build net new capabilities that will be used across SentinelOne’s industry-leading platform.
As a Principal MLE you will:
Provide technical Leadership and Guidance: establishing research and coding standards, system design principles, and best practices; guiding the group in overcoming technical challenges while ensuring that our codebase remains efficient and maintainable
Drive Solution Architecture and Design: designing research programs and software systems that meet the requirements of a diverse stakeholder group; planning implementation in a way
Perform Hands-On Coding and Code Review
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?
10+ years of solving real world problems with machine learning, at least five of these in a lead or managerial role, involving software architecture and design; and at least two of these using Foundation Models or Large Language Models
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
A Master's or a Doctoral degree in Computer Science, Applied Mathematics, Data Science, Software Engineering, or a related quantitative field like Physics or Neuroscience
At least five years experience of the full system development lifecycle, from requirement gathering, research, design, implementation, testing, through deployment/launch and operation
Nice to Haves:
Ideally, you’ll have experience with one more of the following in production:
Representation Learning, especially for temporal sequences
Open Source Foundation Models like T5, Bloom, Vicuna, etc.
Multimodal models and systems
Lifelong learning systems driven by implicit and explicit product feedback
Practical reinforcement learning techniques
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
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
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.
SentinelOne 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.