Applied Scientist (Fixed Term Contract), Amazon CloudWatch Logs
Applied Scientist (Fixed Term Contract), Amazon CloudWatch Logs
Applied Scientist (Fixed Term Contract), Amazon CloudWatch Logs
Applied Scientist (Fixed Term Contract), Amazon CloudWatch Logs
Amazon
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Tübingen
- Art der Anstellung: Vollzeit
- Vor Ort
Applied Scientist (Fixed Term Contract), Amazon CloudWatch Logs
Über diesen Job
Stellen-ID: 2994917 | Amazon Web Services Development Center Germany GmbH
BESCHREIBUNG
We are recruiting an Applied Scientist (fixed-term contract) to innovate next-generation scientific methodologies for Amazon CloudWatch, AWS's primary monitoring and observability platform. This core service provides critical monitoring capabilities to millions of customers operating at cloud scale. This is a high visibility and high impact role that works on highly strategic projects in the AI/ML and Analytics space, interacting with all levels of AWS leadership. We are developing solutions that not only surface the what but also the why and how to fix it, without requiring operators to have extensive domain knowledge and technical expertise to efficiently troubleshoot and remediate incidents. Using decades of AWS operational excellence coupled with the advances in LLMs and Gen-AI technologies, we are transforming the very core of how customers can effortlessly interact with our offerings to build and operate their applications in the cloud. We are hiring to grow our team, and are looking for well-rounded applied scientists with backgrounds in machine learning, foundation models, and natural language processing. You'll be working with talented scientists, engineers, and product managers to innovate on behalf of our customers. If you're fired up about being part of a dynamic, mission-driven team, then this is your moment to join us on this exciting journey!
About AWS
Diverse 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.
Key job responsibilities
Research and development of algorithms that improve training of foundation models across pre-training, multitask learning, supervised finetuning, and reinforcement learning from human feedback.
Research and development of novel approaches for anomaly detection, root cause analysis, and provide intelligent insights from vast amounts of monitoring and observability data.
Collaborating with scientists, engineers, and product managers across the CloudWatch team as well as directly with customers.
Lead key science initiatives in strategic investment areas of AI/ML/LLM Ops and Observability.
Be an industry thought leader representing Amazon at top-tier scientific conferences.
About the team
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
GRUNDQUALIFIKATIONEN
- PhD, or a Master's degree and experience in CS, CE, ML or related field
- Experience in building models for business application
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
BEVORZUGTE QUALIFIKATIONEN
- Experience in professional software development
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
m/w/d
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.
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