Sr. Machine Learning Engineer, Amazon General Intelligence (AGI)

47 Days Old

Sr. Machine Learning Engineer, Amazon General Intelligence (AGI) Join to apply for the Sr. Machine Learning Engineer, Amazon General Intelligence (AGI) role at Amazon Sr. Machine Learning Engineer, Amazon General Intelligence (AGI) 5 days ago Be among the first 25 applicants Join to apply for the Sr. Machine Learning Engineer, Amazon General Intelligence (AGI) role at Amazon Get AI-powered advice on this job and more exclusive features. 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. 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 institutionalizing best practices in AI/ML infrastructure and distributed computing across the organization.
A day in the life
8+ years of professional software development experience in distributed systems with emphasis on ML infrastructure
8+ years of current programming experience building ML infrastructure using languages such as Python, C++ or Rust Hands-on experience with parallel computing platforms such as CUDA, OpenMP, etc Deep understanding of AI frameworks such as PyTorch, TensorFlow, and JAX, and their demands on underlying compute infrastructure, memory bandwidth, network interconnect, and storage as scale goes up Knowledge of emerging AI hardware accelerators and architectures Experience with containerization and orchestration technologies (Docker, Kubernetes) Experience with cloud computing platforms (AWS, Azure, GCP) and their offerings
About The Team
Join our AGI team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence.
Mission of the team: We leverage our hyper-scalable, general-purpose large model training and inference systems to develop and deploy cutting-edge sensory AI foundational models that revolutionize machine perception, interpretation and interaction, with humans and with the physical world.
Basic Qualifications
5+ years of non-internship professional software development experience 5+ years of programming with at least one software programming language experience 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience Experience as a mentor, tech lead or leading an engineering team
Preferred Qualifications
5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $151,300/year in our lowest geographic market up to $261,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Company - Amazon.com Services LLC - A57
Job ID: A3003295 Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology, Consulting, and Engineering Industries Software Development Referrals increase your chances of interviewing at Amazon by 2x Get notified about new Machine Learning Engineer jobs in Seattle, WA . Seattle, WA $99,500.00-$187,000.00 5 days ago Software Engineer, Open Source, AI/ML, Developer Infrastructure Software Engineer - AI/ML, Multiple Locations Redmond, WA $81,900.00-$174,600.00 1 week ago Bellevue, WA $125,000.00-$168,000.00 14 hours ago Seattle, WA $100,000.00-$220,000.00 3 months ago Machine Learning Engineer, Identity Product Seattle, WA $212,000.00-$318,000.00 1 week ago Seattle, WA $127,000.00-$240,000.00 2 weeks ago Seattle, WA $118,657.00-$168,150.00 1 week ago Redmond, WA $100,600.00-$215,400.00 1 hour ago Seattle, WA $7,302.00-$11,866.00 6 days ago Senior ML Engineer, Applied Machine Learning Seattle, WA $120,000.00-$150,000.00 1 week ago Software Engineer III, Google Cloud Business Platforms Seattle, WA $141,000.00-$202,000.00 4 days ago Seattle, WA $56.25-$173,000.00 2 weeks ago Greater Seattle Area $94,000.00-$120,000.00 1 day ago Seattle, WA $167,000.00-$185,500.00 6 hours ago Machine Learning Engineer, Monetization Engineering Bellevue, WA $56.25-$173,000.00 2 weeks ago Machine Learning Engineer, Stripe Capital We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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Location:
Seattle, WA, United States
Job Type:
FullTime
Category:
IT & Technology

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