Staff AI Platform Engineer
United States - Remote
About Us
At SentinelOne, we’re redefining cybersecurity by pushing the limits of what’s possible—leveraging AI-powered, data-driven innovation to stay ahead of tomorrow’s threats.
From building industry-leading products to cultivating an exceptional company culture, our core values guide everything we do. We’re looking for passionate individuals who thrive in collaborative environments and are eager to drive impact. If you’re excited about solving complex challenges in bold, innovative ways, we’d love to connect with you.
What are we looking for?
Join our dynamic team of AI engineers and researchers from around the world! We’re passionate about bringing the latest breakthroughs in Artificial Intelligence and Machine Learning to our customers, and we need someone like you to help make it happen.
We are looking for an AI Platform Engineer who will be directly involved in developing our core AI technology and products.
We are the team behind PurpleAI (released for general availability in April 2024, see also the latest demo), awarded one of the Top10 hottest cyber products of 2023.
What will you do?
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
What skills and experience should you bring?
We are looking for exceptional engineers who are passionate about delivering great AI products. To that end, we are looking for engineers with the following experience:
- 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
Why Us?
You will be joining a cutting-edge company where you will tackle extraordinary challenges and work with the very best in the industry.
- 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
locations, a different pay range may apply. If so, this range will be provided to you during the recruiting
process. You can also reach out to the recruiter with any questions.
Base Salary Range$128,000—$176,000 USD
SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
SentinelOne participates in the E-Verify Program for all U.S. based roles.
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401(k) Cell phone reimbursement Commuter Company-sponsored events Cutting-edge company Dental Dependent FSA Disability and life Disability and Life Insurance Disability Insurance Employee Assistance Program Employee Stock Purchase Employee Stock Purchase Program Extraordinary challenges Gender-neutral parental leave Gym Membership Reimbursement Health and Dependent FSA Health FSA Insurance Life Insurance Medical Medical, Vision, Dental Paid company holidays Paid holidays Paid sick time Parental leave Sick time Stock Purchase Program Unlimited PTO Vision
Tasks- Collaborate across engineering teams
- Develop features for AI products
- Implement features in Python
AI AIOps Airflow API ArgoCD Asyncio AWS Azure Cloud Coding Communication CUDA Cybersecurity Data Databricks Data Science Data Structures Distributed Systems Docker Engineering Google Cloud Google Cloud Platform GPU technologies Innovation Intelligence Jax Kubernetes LLMs Machine Learning Microsoft Azure ML MLFlow MLOps Morpheus Mypy Pandas Production Pydantic Python PyTorch Rapids Recruiting Research Ruff Security Site Reliability Engineering Software Engineering Spark SRE Terraform Training Weights and Biases
Experience5 years
EducationComputer Science Cybersecurity Data Science Design Engineering Software Engineering
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9