Machine Learning Engineer Intern
2 maanden geleden
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 will you do?
S1AI is a center of excellence within Engineering that builds frontier Products that showcase what can be done with the latest technologies, delivers them to market through a Platform that can be reused by other engineering teams, and builds capacity in People across S1 to ideate and build using these technologies.
As a member of S1AI, you will take on at least one an end to end project, working with one or more of our component teams:
Platform - which develops and operates Serenity, our production AIOps environment, on which Purple and our other intelligent services are built. This team stresses system design, software engineering skill and operational maturity. Research - responsible for the experimentation, algorithm design and evaluation methods required to turn ideas and techniques into intelligent systems. Knowledge - which acquires and curates the knowledge and datasets required to deliver well grounded systems. This stresses database and information design, knowledge of elicitation methods and product instrumentation; and the EQ required to organize and engage SME communities.All three teams work at a fast pace in two week sprints, and come together at a weekly meetup, to share problems and product ideas, and discuss the latest technical developments and challenges.
What skills and knowledge should you bring?
One or more independent projects that use LLMs, Foundation Models or other current machine learning technologies. Facility with Python and the tooling associated with machine learning experimentation, system development and delivery. Extensive coursework in Computer Science, Software Engineering and Machine Learning (or equivalent experience in another quantitative discipline) - in particular you should have a clear understanding of the boundary between CS and ML. Must currently be enrolled in a degree-seeking program Ideally, a strong, practical understanding of current practices and challenges in cybersecurity.Why us?
Our global internship program trains the next-generation of cybersecurity talent across a range of specializations, from threat intelligence to information security, engineering and marketing. Interns can learn about the network security industry from leading thinkers, grow their professional networks, and be part of a career-defining experience including:
1:1 mentorship The opportunity to expand your knowledge and work on challenging projects Training and Development opportunities Connections to other recent grads, and employees across the company Leadership speaker series where you can learn about other areas of the business and ask questions to the senior leadership team and industry experts Fun eventsSentinelOne 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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