Machine Learning Engineer, Cloudflare
Web performance and security platform
Job no longer available
Web performance and security platform
1001+ employees
Job no longer available
1001+ employees
Company mission
To help build a better Internet that is bold and ambitious.
Role
Who you are
- M.S or Ph.D in Computer Science, Statistics, Mathematics, or other quantitative fields
- 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), On-Premise GPUs, 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 leveraging large language models, fine-tuning and the frameworks (Langchain, Llamaindex, CrewAI, etc.) 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
What the job involves
- 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
- 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
Our take
Cloudflare is a multi-service global network that provides web security and infrastructure, DDoS mitigation services, and a content delivery network. Founded in 2009, Cloudflare has risen to become an industry giant, with over 25 million global internet properties on its network.
Cloudflare has been responsible for a number of admirable initiatives, offering free web protection to human rights groups, journalists, artists, and US election websites. This goes some way to counteracting the flak Cloudflare has received in some circles for the controversial groups and users who use its services. This chequered history, however, has not affected its over 80% market share in the content delivery network field.
This is perhaps in part because it has proven sharp at staying abreast of the rapidly morphing tech and digital space and customer demands. For example, Cloudflare is shifting to 100% renewable energy usage to create a zero-emissions internet, and in 2020 released a feature that would help users navigate data privacy regulations by selecting where their data is stored.
And impressive third-quarter 2025 results show strong momentum, with revenue rising to $562 million from $430 million a year earlier. The company also raised its full-year guidance, underscoring confidence in continued growth. As demand for secure, cloud-based infrastructure keeps growing, Cloudflare's expanding platform and improving efficiency leave it well positioned to capture further gains in a rapidly growing market.
Steph
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Company benefits
- Take-what-you-need vacation: We encourage employees to find a comfortable work-life balance by taking as many days off as they need while still being able to perform their jobs satisfactorily. (We really mean it!)
- Paid maternity & paternity leave: Our global parental leave policy allows up to sixteen paid weeks of bonding leave time for all qualifying new parents.
- Employee benefits: We offer a comprehensive benefits package including healthcare, life insurance, short- and long-term disability, pension plans in accordance with the market practice in our locations.
- Commuter program: We are flexible about where we work and value connecting at the office. Our commuter benefits program is in place to support team members' commute to work via public transportation without the extra cost burden.
- Wellbeing: Global offerings that provide mental health, childcare and family forming support to our employees across our offices.
Company HQ
China Basin, San Francisco, CA
Leadership
Lee Holloway
(Co-Founder & Lead Engineer)Lee began their career as an Engineer at Homewarehouse for a year before working at Unspam Technologies for 4 years. They co-created Project Honey Pot in 2004 and Cloudflare in March 2009, serving as Lead Engineer of both to present.
Michelle Zatlyn
(Co-Founder, President & Co-Chair)Having worked for Investor Economics and I Love Rewards for a combined 4 years, Michelle worked at Toshiba for 3 years as a Product Manager. She then co-founded Cloudflare in 2009 as COO, and has served as President since 2020. She is also a Board Member at Atlassian.
Matthew Prince
(Co-Founder & CEO)Matthew studied for an MBA at Harvard Business School before co-founding Unspam Technologies in December 2001, and Cloudflare in 2009, where he has served as CEO ever since.
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