SentinelOne is hiring a
Staff Machine Learning Engineer

Summary

Join our team at SentinelOne, a leading cybersecurity company, as we expand our capabilities and develop innovative solutions to protect against cyber threats.

Requirements

• Master’s Degree in any quantitative science or engineering field. Additional or directly relevant experience will be considered in lieu of a degree
• 7+ 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

• 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
• As a ML specialist on the team, you will 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
• 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 Staff-level engineer, you should be willing and able to inspire others and lead them technically
• You will focus on either Science side (take functional requirements in ML/AI from ideation to delivery) or Platform side (efficiently deliver models & science systems into production) - depending on your skills, experience & interests

Benefits

• Flexible working hours, this is a remote role based within UK; we provide IWG pass to major coworking chains
• Generous employee stock plan in the form of RSUs (restricted stock units), not options; 4 years vesting with 1 year cliff and then quarterly, stock refresh yearly
• Yearly bonus depending on the performance of the company, paid out in 2 installments
• Global gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) & Grandparent Leave
• Volunteering paid day off & Additional paid Company holidays off (e.g. 4 days in 2022)
• Global Employee Assistance Program (confidential counseling related to both personal and work life matters)
• Udemy Business platform for Hard/Soft skills Training & Support for your further educational activities/trainings
• Above-standard referral bonus
• DEI&B programs that promote employee resource groups like SentinelWIN (Women Inclusion Network), Blk@S1, Latinos@S1, Pan-Asian@S1, Out@S1 (LGBTQIA+) and Sentinels Who Served