About the department

The BI team builds and operates the cloud data analytics platform for Cloudflare. We are responsible for building a centralized cloud data analytics platform using open source technologies that will be used by our internal Business Partners and Machine Learning teams. Our goal is to democratize data, support Cloudflare’s critical business needs, provide reporting and analytics self-service tools to fuel existing and new business critical initiatives.

What you'll do

• Deploy, manage & support ML Applications & Services on Kubernetes
• Understand MLOps landscape i.e tooling, tech stack, source systems etc. and work on introducing new tools and solutions for ML & AI initiatives.
• Partner and align with Data Scientists, Data Engineers and internal teams to deliver ML solutions in a globally distributed environment.
• Lead development of efficiencies to boost model training to deployment lead times
• Understand business/product strategy and high-level roadmap and align analysis efforts to enable them with data insights and help achieve their strategic goals.
• Leverage Cloudflare products and services for AI & ML initiatives and applications
• Use software engineering best practices to publish model scores/insights/learnings at scale within the company.

Examples of desirable skills, knowledge and experience

• M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative fields.
• Minimum 3 years of ML Engineering experience with proven industry experience in a large scale environment (PBs scale & globally distributed teams) 
• Strong experience in scientific computing using Python with Scikit-Learn & PyTorch or Tensorflow.
• Strong experience working with Docker & Kubernetes to build and deploy applications and systems. 
• Experience working with ML Platform tools (AirFlow, Argo Workflows, ArgoCD) preferred.
• Experience working with Data Scientists to deploy Machine Learning applications systems for training, inference and observability.
• Experience with Full-stack Web technologies and languages (FastAPI, Streamlit, JavaScript/TypeScript, Cloudflare Workers, etc.) preferred.
• Experience with Terraform, Google Cloud Platform (or any other public cloud equivalent) etc.
• Experience working with CI/CD systems, version control (Git, Bitbucket, etc.) and DevOps tools.  
• Experience with Databases such as BigQuery, Postgres, SQLite and ETL/ELT practices
• Strong cross-functional collaboration experience with data engineering and data analysts teams within the function.
• Proficiency in large language models and the frameworks necessary for implementing GenAI applications, such as chatbots and related use cases.
• Strong communication and presentation skills catered to different audiences within the company.
• Capable of working closely with business, engineering, and product teams to ensure data initiatives are aligned with business needs.

Compensation

Compensation may be adjusted depending on work location.

• For Colorado-based hires: Estimated annual salary of $156,000 - $190,000
• For New York City, Washington, and California (excluding Bay Area) based hires: Estimated annual salary of $176,000 - $215,000
• For Bay Area-based hires: Estimated annual salary of $185,000 - $226,000

Equity

This role is eligible to participate in Cloudflare’s equity plan.

Benefits

Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S.

Health & Welfare Benefits

• Medical/Rx Insurance
• Dental Insurance
• Vision Insurance
• Flexible Spending Accounts
• Commuter Spending Accounts
• Fertility & Family Forming Benefits
• On-demand mental health support and Employee Assistance Program
• Global Travel Medical Insurance

Financial Benefits

• Short and Long Term Disability Insurance
• Life & Accident Insurance
• 401(k) Retirement Savings Plan
• Employee Stock Participation Plan

Time Off

• Flexible paid time off covering vacation and sick leave
• Leave programs, including parental, pregnancy health, medical, and bereavement leave