Research Scientist, Passive Monitoring
We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers.And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
Amazon's network is growing at an unprecedented pace. Availability of the network for our customers is absolutely critical, and this requires that we drive changes within the network quickly and safely via automation. Keeping pace with the network growth demands that scaling activities – from provisioning, cabling, validation, and integration into the network – require little human involvement.
To drive network change quickly, safely, and effortlessly, we view the network as software and network change as continuous integration (CI) and continuous deployment (CD) of software updates into the network. We are developing the AWS network CI that enables humans to describe the intent of network design and a workflow that integrates those changes with automated testing before release into the network.Network CD takes released changes and continuously deploys them into network.
A wave of innovation is bringing sweeping changes to networking technology. Virtualization, unimaginable scale, hardware commoditization, and automation are revolutionizing network software.Amazon Web Services (AWS) runs one of the biggest networks in the world. We leverage big data technologies and deep network analytics software to drive network automation, performance, and reliability.
Key job responsibilities
As a Research Scientist on the team, you will help our internal customer build passive-monitoring models using our technology and help us launch a new product across the company. You will be diving deep into the details while providing strategic inputs for the product.
Other responsibilities include:
- Help drive the data collection, processing, and business-logic monitoring models and technology choices that enable a world-class user experience
- Utilize various metric sources to deliver rapid iterations of models
- Propose new modeling solutions and run experiments to prove their efficacy
- Collaborate with colleagues from science, engineering, and business backgrounds,
- Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection
AWS Infrastructure Services (AIS)
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on.We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.
You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers.And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.
The Worldwide Sustainability (WWS) organization capitalizes on Amazon’s scale, speed, ability to build, invent, and simplify a resilient and sustainable company. We manage our social and environmental impacts globally, and drive solutions that enable our customers, businesses, and the world to become more sustainable.
About the teamDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.- PHD or Master's degree in Computational Linguistics, Engineering, or related technical field
- 1+ years industry experience with data mining and analytics techniques
- 1+ years industry experience in programming in R, Python, SAS or similar languages- Graduate degree in Computational Linguistics, Engineering, Statistics or related field
- 3+ years experience in data scientist, analyst or NLP specialist role with a large technology company
- Experience in two or more of these or similar Natural Language Processing topics: word categorization and tagging, syntactic parsing, word sense disambiguation, topic modeling; contextual text mining, application of machine learning to NLP, semantic similarity, phrasal semantic analysis, text matching and similarity, word embedding, lexicon normalization, named entity recognition
- Demonstrable track record dealing well with ambiguity, prioritizing needs, and delivering results in an agile, dynamic environment
- Experience collaborating with software development teams, data scientists, business intelligence or other technical roles
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