Elevate your career at Cloudflare as a Machine Learning Engineer focusing on cutting-edge AI solutions. You'll optimize ML models on a global scale while collaborating with top industry professionals in Austin, TX.

As a Machine Learning Engineer, you'll play a crucial role in defining how ML models operate across Cloudflare’s advanced serverless inference platform. Your expertise will ensure low latency, robust reliability, and productive resource usage as you work closely with systems engineers and product teams. You'll be tasked with applied ML and production engineering challenges, along with model improvement strategies to enhance performance and quality.

Key Responsibilities:
• Develop and productionize machine learning models for serverless platforms
• Build benchmarking frameworks for latency and cost evaluation




• Enhance performance through advanced optimization techniques
• Collaborate with engineers to integrate models into infrastructure
• Mentor peers and elevate production ML practices

Requirements:
• Proven experience in production ML model optimization
• Proficiency in Python and ML frameworks like TensorFlow
• Expertise in inference optimization and serving frameworks
• Familiarity with LLMs and advanced deep learning architectures
• Strong understanding of distributed systems for ML integration

Bring your expertise in machine learning and innovation to shape the next generation of AI at Cloudflare.
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📌 Machine Learning Engineer at Cloudflare (Manitoba)
🏢 Cloudflare
📍 Manitoba