Applied scientist Jobs in Blumberg
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Applied scientist • blumberg
- Gesponsert
Sr Applied Scientist New Generation Developer Experience NGDE
AmazonBerlin, Berlin, GermanySenior Applied Data Scientist (Remote from EU)
Pricehubble AGBerlin, Berlin, Germany- Gesponsert
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Physician-Scientist in Neurology
Université du LuxembourgBiesdorf, DEDATA SCIENTIST
TD ReplyBerlin2025 Applied Scientist Internship, Amazon University Talent Acquisition
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Weierstraß-Institut für Angewandte Analysis und StochastikBerlin, Berlin, Deutschland- Gesponsert
Senior Data Scientist (Luxembourg)
Sogeti, part of CapgeminiBiesdorf, DE- Gesponsert
Applied Scientist
Amazon.comBernau bei Berlin, DEApplied Scientist
Audible GmbHBerlin, Berlin, DEUApplied Scientist, Amazon Robotics R&D
Amazon Development Center Germany GmbHBerlin, Berlin, DEUSenior Data Analyst / Applied Scientist (Brand Marketing)
GetYourGuideBerlinEngineering Manager II - Applied Science
TomTomBerlin, GermanyData Scientist
Valyria Technology GmbHBerlin, DE- Gesponsert
Junior Experimental Scientist
UcaneoBerlin, Berlin, Germany- Gesponsert
Senior Data Scientist mfd
PAUL Tech AGBerlin, Berlin, GermanySr Applied Scientist New Generation Developer Experience NGDE
AmazonBerlin, Berlin, GermanyWe are looking for a Sr. Applied Scientist who is passionate about building services and tools for developers that leverage generative artificial intelligence and machine learning. You will be part of a team building Large Language Model (LLM)based services with the focus on enhancing the developer experience in the Cloud. The team works in close collaboration with other AWS services such as AWS Cloud9 the AWS IDE Toolkit and AWS Bedrock. If you are excited about working in cloud computing and building new AWS services then wed love to talk to you.
As a Senior Applied Scientist you love designing implementing and evaluating machine learning solutions to difficult applied problems and diving into complex data sources crawled from the web or internal logging tools. You are recognized for your expertise advise team members on a range of machine learning topics and work closely with software engineers to drive the delivery of endtoend modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.
You take a longterm view of the business objectives product roadmaps technologies and how they should evolve. You actively participate in mindful discussions with customers engineers and scientist peers and define the right modeling and component design approach to achieve the desired customer experience and scientific and business outcomes.
Key job responsibilities
Use Python and various open source libraries to develop and / or improve LLMs for business applications
Own the technical quality of a product where modeling improvements can improve technical designs and drive value for other scientists and engineers
Understand the challenges that developers face when building cloudbased solutions and develop generalizable solutions.
Collaborate with developers and pave the way towards bringing your solution into production systems. Participate in cross team projects and ensure technical blockers are resolved.
Communicate and document your research by writing internal documents giving talks / demos and striving to publish papers in external scientific venues.
Serve as a technical lead for your project and a small team of scientists and engineers
A day in the life
Utility Computing (UC)
AWS Utility Computing (UC) provides product innovations from foundational services such as Amazons Simple Storage Service (S3 and Amazon Elastic Compute Cloud (EC2 to consistently released new product innovations that continue to set AWSs services and features apart in the industry. As a member of the UC organization youll support the development and management of Compute Database Storage Internet of Things (Iot) Platform and Productivity Apps services in AWS. Within AWS UC Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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
Here at AWS its in our nature to learn and be curious. Our employeeled affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.
Work / Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.
About the team
The Amazon Web Services (AWS) Next Gen DevX (NGDE) team uses generative AI and foundation models to reimagine the experience of all builders on AWS. From the IDE to webbased tools and services AI will help engineers work on large and small applications. We explore new technologies and find creative solutions. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world.
If you are excited about this space and want to enlighten your peers with new capabilities this is the team for you.
PhD in Machine Learning Computer Science Mathematics Physics Statistics or any other field with quantitative focus
Several years experience building machine learning models for business applications using Java C Python or related language
Experience with patents or publications at toptier peerreviewed conferences or journals
Experience in any of the following areas : algorithms and data structures parsing numerical optimization data mining parallel and distributed computing highperformance computing
Experience with deep learning frameworks such as PyTorch and Hugging Face
Experience in professional software development
Experience with generative AI techniques such as retrieval augmented generation LLM finetuning or hyperparameter tuning
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 / privacypage 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 / howwehire / accommodations for more information. If the country / region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience :
Senior IC
Key Skills
Laboratory Experience,Immunoassays,Machine Learning,Biochemistry,Assays,Research Experience,Spectroscopy,Research & Development,cGMP,Cell Culture,Molecular Biology,Data Analysis Skills
Employment Type : Full-Time
Experience : years
Vacancy : 1