Staff AI Platform Engineer - job 1 of 2

As a Staff AI Platform Engineer at SentinelOne, you will be responsible for developing and shipping features for AI products, writing tests, resolving bugs, and ensuring robust security across our platforms. You’ll collaborate with various engineering teams to design and implement new capabilities, making your work crucial for maintaining industry-leading standards in cybersecurity.

Candidates for the Staff AI Platform Engineer role at SentinelOne should possess a degree in computer science or related fields, alongside 5+ years of experience in Python development and at least 3 years in applying modern AI/ML techniques. Familiarity with containerization technologies, cloud platforms, and a robust understanding of large-scale distributed systems are also key qualifications.

A Staff AI Platform Engineer at SentinelOne should be proficient in Python development and have experience with AI/ML frameworks and methodologies. Familiarity with Docker, Kubernetes, AWS, Google Cloud Platform, and modern Python libraries is essential. The role also appreciates skills in data science, security research, and operational roles like Site Reliability Engineering.

Yes, SentinelOne offers a flexible work environment. As a Staff AI Platform Engineer, you will be part of a globally distributed team, enabling you to work remotely while collaborating with colleagues across different locations.

SentinelOne offers a comprehensive benefits package for its Staff AI Platform Engineers, including medical, vision, dental insurance, unlimited PTO, industry-leading parental leave, paid holidays, and options for stock purchase programs. You’ll also enjoy various company-sponsored events and professional development opportunities.

When discussing your Python development experience, highlight specific projects where you've implemented features or fixed bugs in production environments. Be sure to mention any libraries or tools you've utilized, such as asyncio or pandas, to demonstrate your proficiency and applicability in real-world scenarios.

Speak about the AI and ML techniques you have applied in your past roles, detailing any experience in training and deploying machine learning pipelines. Discuss specific projects where you’ve solved complex problems using these technologies to showcase your hands-on expertise.

Highlight examples of past experiences where you've worked with different teams, such as research and product teams. Explain how you ensure smooth communication, alignment on objectives, and efficient workflow to collaboratively deliver high-quality AI solutions.

Discuss your experience with designing, building, or maintaining large-scale distributed systems. Focus on particular challenges you faced, the technologies you’ve implemented, and how your contributions improved system reliability and performance.

When addressing your expertise in Docker and Kubernetes, describe specific use cases where you have deployed applications using these technologies. This could include managing container orchestration, scaling applications, or optimizing deployment processes.

Detail your approach to maintaining software quality and security, including methodologies like unit testing, continuous integration/continuous deployment (CI/CD), and tools you use for vulnerability scanning. Real examples will solidify your answer.

Share how you engage with the AI and cybersecurity communities, such as attending conferences, following influential blogs, or participating in online forums. Mention specific resources that have influenced your understanding and contributed to your skills.

Provide examples of your experiences working with remote teams. Discuss particular challenges, such as communication barriers or coordinating tasks across time zones, and how you implemented solutions, like using asynchronous communication tools effectively.

Think of a project where you successfully applied AI/ML techniques to resolve a significant challenge. Outline the problem, your approach in developing a solution, and the outcome’s impact, showcasing your problem-solving capabilities.

When answering this question, express your enthusiasm for SentinelOne's mission to advance cybersecurity through AI. Highlight your alignment with the company culture and specific projects or technologies at SentinelOne that excite you, demonstrating your passion for the role.