Applied Scientist, AI Agents
Applied Scientist, AI Agents
- Art der Anstellung: Vollzeit
- Vor Ort
Applied Scientist, AI Agents
Über diesen Job
Stellen-ID: 2999538 | Amazon Web Services Development Center Germany GmbH
BESCHREIBUNG
AWS is looking for world class scientists and engineers to join Amazon Q Developer Machine Learning team to develop groundbreaking generative AI technologies like Amazon Q and CodeWhisperer. Our scientists push boundaries in creating agents for code generation and beyond to invent creative solutions. You will invent, implement, and deploy state-of-the-art machine learning solutions at Amazon scale, having a direct impact on revolutionary products used by millions. You will make breakthroughs that challenge the limits of AI and machine learning while interacting directly with customers to bring new research rapidly to production.
A day in the life
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, 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
Here at AWS, it’s in our nature to learn and be curious. Our employee-led 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
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 in the cloud.
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 Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience with training machine learning models at scale
BEVORZUGTE QUALIFIKATIONEN
- Experience with LLM pre-training, fine-tuning, and evaluations
- First-authored publications at top tier machine learning conferences, e.g., NeurIPS, ICML, ICLR, ACL, EMNLP, NAACL.
- Familiarity with distributed training and acceleration method/implementation/library for LLMs or large-scale ML in general, e.g., DeepSpeed, Nemo-Megatron, PyTorch Lightning.
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.
Bewertung von Mitarbeitenden
Gesamtbewertung
Basierend auf 4.099 BewertungenVorteile für Mitarbeitende
Flexible Arbeitszeiten
Home-Office
Kantine
Restaurant-Tickets
Kinderbetreuung
Betriebliche Altersvorsorge
Barrierefreiheit
Gesundheitsmaßnahmen
Betriebsarzt
Training
Parkplatz
Günstige Anbindung
Vorteile für Mitarbeitende
Smartphone
Gewinnbeteiligung
Veranstaltungen
Privat das Internet nutzen
Hunde willkommen
Unternehmenskultur
Unternehmenskultur
4099 Mitarbeitende haben abgestimmt: Sie bewerten die Unternehmenskultur bei Amazon als ausgeglichen zwischen traditionell und modern.Der Branchen-Durchschnitt tendiert übrigens in Richtung modern