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4 Cloudflare Machine Learning Engineer Jobs Hiring Near You

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What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What is it like to work at Cloudflare?

Cloudflare is a company that prioritizes innovation, collaboration, and customer-centricity, fostering a culture of experimentation and continuous learning. The company's global team is structured into various departments, including engineering, product, and customer support, with a focus on open communication and cross-functional collaboration. Working at Cloudflare may appeal to individuals who are passionate about cybersecurity, web performance, and digital rights, as the company offers a dynamic and challenging environment where they can contribute to shaping the future of the internet.
What other companies are hiring for Machine Learning Engineer jobs?
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Infographic showing various Machine Learning Engineer job openings at Cloudflare in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 79% Physical, and 21% Remote job distribution.
Senior Solutions Engineer - Digital Native Enterprise - West

Senior Solutions Engineer - Digital Native Enterprise - West

Cloudflare

San Francisco, CA • On-site

$65 - $84/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Cloudflare is on a mission to help build a better Internet, running one of the world’s largest networks that powers millions of websites. The Senior Solutions Engineer role involves driving customer engagement and technical sales for Cloudflare's solutions, focusing on acquiring and expanding digital native enterprise accounts.
Responsibilities:
• Identify and map customer initiatives and business problems to Cloudflare solutions
• Build relationships and technical champions within customer accounts
• Develop and present customer presentations at every Enterprise Customer’s organization level
• Lead demo and proof-of-concept activities for Cloudflare prospects and customers
• Demonstrate your expertise of Cloudflare with your peers through the creation of professional content, including white papers, blog posts and other knowledge sharing activities
• Represent and evangelize Cloudflare externally at Developer, Community, Technology, Cybersecurity and Industry focused events with thought leadership and expertise
• Apply in-depth vertical knowledge or domain expertise. Advise on best practices.
Qualifications:
Required:
• Previous experience as a Solutions Engineer or other customer facing technical role with CDN, Security, Networking or SaaS
• Solid communication, written and presentation skills
• Ability to work on several projects and activities concurrently
• Highly driven individuals that are curious, team players and work with a sense of urgency
• Bachelor’s Degree or equivalent in relevant work experience
• The role requires up to 50% travel to attend meetings with prospects or customers, attend conferences and other industry events, and to collaborate with your Cloudflare teammates.
Preferred:
• You've built web applications before, or contributed to existing web applications in a meaningful way.
• Polished communication and executive presentation skills with ability to drive a discussion with a broad range of stakeholders (from the web developer to the CISO).
• Relationship building: a proven track record of building deep technical relationships with engineers and senior executives in large and strategic accounts. Experience in managing various stakeholder relationships to build consensus on security solutions/projects.
• Experience managing technical sales within large accounts.
• Developing champion-style relationships
• Driving technical wins
• Assisting with technical validation
• A deep understanding of core industry components of Cloudflare solutions (and a desire to learn more):
• Internet security technologies including DDoS and DDoS mitigation, Firewalls, TLS, VPN, DLP
• Networking technologies including TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management
• HTTP technologies including reverse proxy (e.g., WAF and CDN), forward proxy (secure web gateway), serverless application development
• Zero-trust network access (ZTNA & SASE) concepts including identity management and authentication
• Cloud computing technologies such as AWS, GCP, Azure and others
• Some scripting or programming experience with one or more of JavaScript, Python, Golang, BASH
• Understanding of, or experience with, regulatory requirements such as FedRAMP, GDPR, PCI DSS, HIPAA, SOC-2, ISO/IEC.
• An undergraduate degree in Computer Science, Engineering or a related field. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome.
• Graduate-level degrees in Computer Science, Engineering or related fields. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome.
• Relevant industry Certifications, Terraform experience
• Exposure to emerging technical landscape trends such as machine learning, GenAI, DevOps, security operations etc.
Company:
Cloudflare is a web performance and security company that provides online services to protect and accelerate websites online. Founded in 2009, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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