Senior Ai Platform Engineer - Nlp

Summary

Join SentinelOne's dynamic team of AI engineers and researchers! As an AI Platform Engineer, you will contribute to the development of our core AI technology and products, specifically working on features for SentinelOne products. You will collaborate with multiple engineering teams, implementing features in Python, writing robust tests, and ensuring high security and quality. This role requires experience in Python development, AI/ML techniques, and large-scale distributed systems. We offer a competitive salary, comprehensive benefits, and a collaborative work environment.

Requirements

• 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

Responsibilities

• Develop and ship features for AI team products and services
• Implement features in Python
• Write robust tests
• Tackle bugs with finesse
• Ensure top-notch security and quality in our platforms
• 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