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Job Description & How to Apply Below
Innovate in the realm of safety-enhancing technologies as a Staff Engineer specializing in ML infrastructure. This remote opportunity enables you to design systems with a direct real-world impact.
You will lead the development of an advanced ML platform that enhances product capabilities in safety AI and beyond. With a strong foundation in distributed computing and hands-on cloud infrastructure experience, you will help shape the future of operations across industries. Collaboration with product teams and a focus on user-centered design will be key to your success.
Key Responsibilities:
• Lead design of the ML infrastructure
• Partner with teams to launch ML-driven features
• Guide successful experiment designs and evaluations
• Manage system reliability and observability aspects
• Facilitate deployment and feedback system enhancements
Requirements:
• 10+ years in ML engineering or related disciplines
• Expertise in frameworks like Ray and Spark
• Proficient with AWS and production observability tools
• Experience in supporting ML platforms at scale
• Strong understanding of model lifecycle and evaluation
Your expertise will significantly influence safety and efficiency improvements through collaborative efforts in a cutting-edge environment.
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