Senior Machine Learning Engineer (NLP, LLMs) - new PurpleAI product

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 (released for general availability in April 2024, see also the latest demo), awarded 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 degree
• 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

It’d be great if you have experience with / or You’d learn & gain on our team:

• 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