| Company |
SentinelOne |
| Job title |
Senior AI Platform Engineer – LLMs |
| Job location |
United States – Remote |
| Type |
Full Time |
Responsibilities:
- 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
Requirements & Skills:
- A degree in computer science or software engineering. Additional or directly relevant experience will be considered in lieu of a degree.
- 5+ years of 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
