Staff Machine Learning Engineer

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 Staff-level AI / Machine Learning Researcher who will be directly involved in developing our core technology and ensuring we are always staying ahead of cybercriminals.What Will You Do?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. We're the team behind products such as PurpleAI , one of the Top10 hottest cyber products of 2023 , and more! 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 we're extending our team by more new colleagues, your focus may be directed more to 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.What Skills and Experience Will You Need?Master’s Degree in any quantitative science or engineering field. Additional or directly relevant experience will be considered in lieu of a degree7+ years of experience solving complex problems using modern AI/ML techniquesExperience in designing, training and evaluating modelsExperience with collecting, building, and tailoring large datasets for training machine learning modelsComfort-level working cross-functionally across both research and product teamsNice to Haves:Prior experience leading the development of generative models and their applicationsExperience in software engineering and with data structuresExperience with endpoint security or OS conceptsExperience with model parallelism for working with large neural network architecturesFirst-author publications at peer-reviewed AI conferencesExpertise in natural language processing, especially practical experience developing modern, transformer-based language modelsWhy us?Because you will work on real-world problems with risks of millions of dollars (protecting against Ransomware and other threats) and make an impact by preventing our customers from appearing in global news after being attacked. You will be joining a technologically cutting-edge project and will be able to influence the architecture, design, and building of our core platform. You will meet extraordinary challenges and work with the very BEST in the industry.On top of that we offer youFlexible working hours, this is a remote role based within Poland; we provide IWG pass to major coworking chainsOptionally for those willing to relocate to the Czech Republic relocation assistance is available for any candidates that are already eligible to work in the EUGenerous 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 yearlyYearly bonus depending on the performance of the company, paid out in 2 installmentsGlobal gender-neutral Parental Leave (16 weeks, beyond the leave provided by the local laws) & Grandparent LeaveVolunteering 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/trainingsAbove-standard referral bonusDEI&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& Aditional country-specific benefits & allowances to the UK 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.
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