Machine Learning Engineer, Cloudflare
+ Cloudflare’s equity plan
Web performance and security platform
Open for applications
Web performance and security platform
1001+ employees
Open for applications
+ Cloudflare’s equity plan
1001+ employees
Company mission
To help build a better Internet that is bold and ambitious.
Role
Who you are
- 3-5+ years of experience in software or machine learning engineering with a focus on AI-driven applications
- Expertise in Knowledge Representation: Proven experience building knowledge graphs (e.g., HNSW, Neptune) and using graph-based reasoning for AI
- Proficiency with LLMs & GenAI: Hands-on experience with RAG pipelines, fine-tuning (SFT/LoRA), and LLM-as-a-judge evaluation frameworks
- Strong Backend Skills: Proficient in Python, Go, or TypeScript, with the ability to build and debug complex software systems
- Analytical Mindset: Strong ability to understand how semantic data structures drive business value and improve user decision-making
- B.S. or M.S. in Computer Science, Engineering, Mathematics, or related fields
- Solid understanding of systems engineering principles and practices
Desirable
- Experience with Semantic Search and hybrid vector search query engines
- Familiarity with MLOps and deploying models within Kubernetes environments
- Published research or a strong background in Applied ML or Computational Intelligence
What the job involves
- We are looking for a Machine Learning Engineer to lead the transformation of our data lakehouse into a semantically-aware intelligence platform
- Instead of traditional ETL, this role focuses on building the software layer that extracts meaning from our vast data stores
- You will be responsible for developing and leveraging a Semantic Knowledge Graph to power LLM-driven applications, discovery tools, and automated reasoning systems that serve business needs across Product, Marketing, and Billing
- Architect Semantic Layers: Design and develop the software infrastructure to layer semantic meaning over our existing data stack, including Kubernetes, Trino, and Iceberg
- Build Knowledge Graphs: Construct and maintain large-scale knowledge graphs from unstructured and structured sources to enable advanced reasoning
- Develop AI Software: Build production-grade software and APIs that leverage LLMs and Graph RAG pipelines to solve complex business queries
- Enhance Data Intelligence: Implement embedding-based retrieval and semantic deduplication to improve the precision and reliability of AI agents
- Collaborate on AI Solutions: Work with cross-functional teams to deploy conversational agents and automated diagnostics tools that turn data into actionable business value
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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