Amazon.com Services LLC
Machine Learning Science, Applied Science, subsidiaries
AppliedScientistII,CIAOrchestrationTeam
Neural analysis suggests this role is
optimal for Mid candidates.
“Applied Scientist II, CIA Orchestration Team at Amazon.com Services LLC. Skills: Machine learning, Data science, Operations technology. Research machine learning models. Design machine learning models”
What You'll Achieve.
Improve efficiency; Scale effectively
Industry & Context.
Complex problems; Complex operational problems
What They're Looking For.
Must Have
3+ years building models, PhD or Master's degree and 4+ years experience, Experience in patents or publications, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing
Nice to Have
Experience using Unix/Linux
What You'll Do.
Research machine learning models
Design machine learning models
Deploy machine learning models
Develop data-driven solutions
Improve efficiency across Fulfillment Centers
Improve efficiency across Transportation Sites
Work with ML frameworks
Work with research methodologies
Develop scientific approaches
Validate scientific approaches
Provide scientific guidance
Provide analytical insights
Provide innovative modeling solutions
Develop predictive models
Apply predictive models
Develop optimization algorithms
Apply optimization algorithms
Develop intelligent automation
Apply intelligent automation
Enable business to scale
How You'll Work.
Team & Collaboration
Systems Engineers; Network Engineers; Software Engineers
Full Job Description
Amazon Operations Technology is looking for an experienced Applied Scientist II to join our Orchestration team in Austin. In this role, you will tackle complex problems and develop scalable, high-performing solutions that require minimal long-term maintenance. Our team spans all global core services and infrastructure within the Operations Technology space — our systems support continuous deployment to over 200,000 devices globally. Key job responsibilities - Partner with Systems Engineers, Network Engineers, and Software Engineers globally to research, design, and deploy machine learning models and data-driven solutions that improve efficiency across our Fulfillment Centers and Transportation Sites. - Work with a wide variety of datasets, ML frameworks, and research methodologies — spanning third-party platforms, open-source tooling, and proprietary Amazon systems — to develop and validate scientific approaches to complex operational problems. - Technicians and Engineers worldwide will look to you for scientific guidance, analytical insights, and innovative modeling solutions to problems that are truly unique to Amazon's scale and operations. - We value rigor, reproducibility, simplicity, and scalability in our science — your solutions should be well-grounded in research and built to perform reliably in production environments. - In your day-to-day work, you will focus on developing and applying predictive models, optimization algorithms, and intelligent automation to enable our business to scale effectively with growing customer demand. A day in the life Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: - Medical, Dental, and Vision Coverage - Maternit
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