Senior Machine Learning Engineer

Summary

Join SentinelOne, a leading cybersecurity company, as a Senior Machine Learning Engineer/Researcher. You will contribute to the development of our core XDR platform, leveraging cutting-edge AI/ML techniques to combat cyber threats. Collaborate with a global team of engineers and researchers to create innovative features and improve endpoint security. Your focus may lean towards the scientific side (ideation to delivery of ML/AI solutions) or the platform side (efficient model deployment), depending on your skills and interests. We offer a competitive salary and a comprehensive benefits package, including unlimited PTO, parental leave, and various other perks.

Requirements

• Master’s Degree in any quantitative science or engineering field
• 5+ years of experience solving complex problems using modern AI/ML techniques
• Experience in designing, training and evaluating models
• Experience with collecting, building, and tailoring large datasets for training machine learning models
• Comfort-level working cross-functionally across both research and product teams

Responsibilities

• Be part of a team focused on bringing the most recent advances in machine learning technology to help our customers efficiently discover and defeat threats
• Ideate and create features that will help our engineering teams as well as support our customers by providing better visibility into the health of the endpoints in the field
• Collaborate across multiple engineering teams to design and build net new capabilities that will be used across SentinelOne’s industry-leading platform

Preferred Qualifications

• Prior experience leading the development of generative models and their applications
• Experience in software engineering and with data structures
• Experience with endpoint security or OS concepts
• Experience with model parallelism for working with large neural network architectures
• First-author publications at peer-reviewed AI conferences
• Expertise in natural language processing, especially practical experience developing modern, transformer-based language models
• Experience developing complex applications leveraging API-based LLMs

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
• Numerous company-sponsored events including regular happy hours and team-building events