Senior AI Platform Engineer - LLMs

Yesterday

Apply Now

Receive Emails with Similar Jobs

SentinelOne

WebsiteLinkedInAll Job Openings

Secure your enterprise with the autonomous cybersecurity platform. Endpoint. Cloud. Identity. XDR. Now.

next-generation endpoint protection • endpoint detection & response • threat and malware prevention • exploit prevention • cybersecurity

1001 - 5000

Description

• 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. • We are a team with a broad set of responsibilities, and a diverse set of backgrounds. Any of the following skills would signify a excellent fit with our team: 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

• 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

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