Amazon.com Services LLC
Technology
Sr.MachineLearningEngineer,AmazonGeneralIntelligence(AGI)
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Machine Learning Engineer, Amazon General Intelligence (AGI) at Amazon.com Services LLC. Skills: Machine Learning, ML Infrastructure, Distributed Computing, AI Technology. Lead definition, design, architecture quality, implementation, delivery. Align teams to technical vision”
Industry & Context.
Problem solving
What They're Looking For.
Must Have
5+ years software development, 5+ years programming, 5+ years design or architecture, Experience as mentor, Experience as tech lead, Experience leading engineering team
Nice to Have
5+ years full SDLC, Bachelor's degree in CS, Experience with AWS, Experience with Azure, Experience with GCP
What You'll Do.
Align teams to technical vision
Deliver integrated systems
Exert influence over teams
Increase team productivity
Increase team effectiveness
Hold peers to high bar
Aid teams with guidance
Guide trade-off decisions
Drive awareness of technical impact
Solve AI/ML infrastructure problems
Identify future skills needed
Advocate for skill development
Mentor senior engineers
Mentor Principal engineers
Develop best practices
Institutionalize best practices
How You'll Work.
Team & Collaboration
ML Infrastructure teams; Related organizations; Multiple teams
Full Job Description
Our Machine Learning training infrastructure (ML Infra) team is responsible for designing, implementing, and optimizing large-scale computing infrastructure that powers our cutting-edge AI and machine learning initiatives. We leverage advanced hardware, innovative software architectures, and distributed computing techniques to enable breakthrough research and product development across the company. We are seeking a Senior Machine Learning Engineer to join our team and lead the development of our next-generation ML training infrastructure. This is a high impact, high visibility role that will shape the future of our machine learning capabilities and contribute to the advancement of AI technology across the industry. Key job responsibilities Lead the definition, design, architecture quality, implementation, and delivery of the most advanced, most difficult, most cross-cutting, and/or most ambiguous challenges spanning across our ML infrastructure. - Align the teams in ML Infrastructure and related organizations to a coherent technical vision and deliver systems that fit well together. - Exert influence over multiple teams, increasing their productivity and effectiveness. You hold peers and teams to a high bar for performance and efficiency, and aid teams through your expert guidance and example. - Considered to be an authority on technical issues by both the technical and research community, you are responsible for guiding difficult trade-off decisions and drive awareness about the impact and consequences of technical decisions on AI research and product development. - Demonstrate significant innovation, creativity, and judgement when solving challenging AI/ML infrastructure problems. Identify future skills needed across your organization and advocate for the development and/or acquisition of those skills to senior leaders. You scout top talent and recruit them to the company. - Actively mentor senior and Principal engineers, scale yourself by developing and instituti
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