Senior AI Platform Engineer

Summary

Join SentinelOne's dynamic team of AI engineers and researchers, contributing to the development of cutting-edge AI technology and products. As a Senior Platform Engineer, you will develop and ship features for AI team products and services, implement features in Python, write robust tests, tackle bugs, and ensure top-notch security and quality in our platforms. You will collaborate with multiple engineering teams to design and build new capabilities for SentinelOne's industry-leading platform. This role requires extensive experience in Python development, modern AI/ML techniques, software engineering, and working with large-scale distributed systems.

Requirements

• A degree in computer science or software engineering
• Additional or directly relevant experience will be considered in lieu of a degree
• Must have 7+ years of extensive experience in Python development and shipping Python code in production environments
• 3+ years of experience solving complex problems using modern AI/ML techniques
• Experience in software engineering and with data structures and algorithms
• Comfortable working cross-functionally across both research and product teams
• Experience with large-scale high-load distributed systems
• Excellent communication skills and ability to work asynchronously
• Experience with Docker, Kubernetes, Terraform, ArgoCD or other similar technologies
• Familiarity with Amazon Web Services

Responsibilities

• You'll be part of a team of globally distributed AI engineers and researchers, developing features for SentinelOne products
• As a Senior Platform Engineer on our team, you will develop and ship features for AI team products and services
• You will implement features in Python, write robust tests, tackle bugs with finesse, and ensure top-notch security and quality in our platforms
• You will collaborate across multiple engineering teams to design and build new capabilities that will be used across SentinelOne’s industry-leading platform

Preferred Qualifications

• Developing complex applications leveraging API-based LLMs
• Training and deploying modern machine learning pipelines
• Experience in data science methodologies and technologies
• Computer security and security research
• Experience in Site Reliability Engineering (SRE) or other operational roles
• Experience in Spark, Databricks, Weights and Biases, Airflow, MLFlow, or other MLOps/AIOps technologies
• Modern Python libraries, coding practices, and tooling (asyncio, pydantic, pandas, ruff, mypy)
• Experience with GPU technologies and compute frameworks (Morpheus, RAPIDS, JAX, Pytorch, CUDA)
• Familiarity with Google Cloud Platform and/or Microsoft Azure

Benefits

• Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA
• Unlimited PTO
• Industry-leading gender-neutral parental leave
• Paid Company Holidays
• Paid Sick Time
• Employee stock purchase program
• Disability and life insurance
• Employee assistance program
• Gym membership reimbursement
• Cell phone reimbursement
• Numerous company-sponsored events, including regular happy hours and team-building events