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security software engineer (m/w/d) für jobs near berlin, be

Software Dev Engineer Intern Machine Learning, Amazon Robotics

Amazon Development Center Germany GmbH -
Berlin

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

TensorFlow
CI/CD
Informatik
PyTorch
NoSQL
SQL
OOP
AWS
Bachelor
Machine Learning
Computertechnik
Künstliche Intelligenz
Kommunikationsfähigkeit
Python
Softwareentwicklungszyklus
Design Patterns

Vollständige Stellenbeschreibung

DESCRIPTION

Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide?

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands.

Our Software Development Engineer (SDE) interns use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDE interns solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years.

At Amazon, we believe in ownership at every level. As an SDE intern, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers.

We're looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.

Amazon internships across all seasons are full-time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.

Key job responsibilities
Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.

Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.

Participate in code reviews and contribute to technical documentation.

Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.

Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.

Write clean, maintainable code following best practices and design patterns.

Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties.

Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.

A day in the life
As an intern, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career.

In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in activities with other interns throughout your internship. No matter the location of your internship, we give you the tools to own your project and learn in a real-world setting.

About the team
MLOps + Observability team is a robotic program, that is developing warehouse robots. Depending on the project, Interns can work on simplifying the ML training infrastructure and extending the monitoring of ML trainings. Other topics could include the development of perception models for the robot system.

BASIC QUALIFICATIONS

- - Must be 18 years of age or older
- - Education Requirements:

Currently enrolled in Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Information Systems, or related STEM fields

- Expected graduation between October 2026 - September 2029
- - Demonstrated experience with AI, Neural Network, Tensorflow, PyTorch
- - Demonstrated experience one or more of the following:

Data structures implementation
Basic algorithm development
Object-oriented design principles

PREFERRED QUALIFICATIONS

Previous technical internship(s) or demonstrated project experience
Experience with one or more of the following:
AI tools for development productivity
Cloud platforms (preferably AWS)
Database systems (SQL and NoSQL)
Contributing to open-source projects
Version control systems
Debugging and troubleshooting complex systems
Strong problem-solving and analytical skills
Excellent written and verbal communication skills
Demonstrated ability to learn and adapt to new technologies quickly
Basic understanding of software development lifecycle (SDLC)

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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Ich möchte aktuelle Job-E-Mails für Stellen als security software engineer (m/w/d) für in berlin, be erhalten

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