Software Development Engineer, Alexa AI at Amazon SZ South 3 GmbH

Gdańsk, Pomeranian Voivodeship, Poland -

Full Time

Start Date

Immediate

Expiry Date

05 Apr, 26

Salary

0.0

Posted On

05 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Software Engineering, Best Practices, Java, C++, C#, Object-Oriented Design, Machine Learning, System Architecture, Technical Feasibility, Code Reviews, Collaboration, Fine-Tuning, In-Context Learning, Prompt Optimization, Customer Experience, Software Quality, Maintainability

Industry

Software Development

Description

Are you interested in creating and delivering innovative consumer software products that impact millions of customers worldwide? We're expanding our team and looking for a collaborative Software Development Engineer to join the Alexa Artificial Intelligence (AI) team. Our team is seeking a skilled and thoughtful engineer to contribute to the development of industry-leading conversational assistant capabilities. You'll work with very advanced techniques including fine-tuning, In-Context Learning (ICL), and various prompt optimization approaches. In this role, you'll own and drive large-scale customer-facing features from conception to delivery and beyond. You'll have the opportunity to design, architect, and build innovative consumer products used daily by people in your community. We aim to enhance the experience for Alexa devices through continuous improvement and innovation. Working with Amazon Alexa offers a creative, fast-paced environment where you'll be at the center of meaningful innovation. Join us in building the future of Amazon devices and services! Key job responsibilities As a Software Engineer in the team you will: • Design, implement, and deploy high-quality software components and features using best design approaches and practices • Work independently and collaboratively to deliver secure, testable, maintainable, and efficient software with minimal defects • Provide constructive code reviews for team members while ensuring your own code reviews are thorough and timely • Identify opportunities for improvement and implement solutions that enhance your team's software quality and maintainability • Build positive working relationships with peers, effectively navigate differing viewpoints, and help onboard new team members to your team's systems and processes A day in the life As an SDE with the Alexa AI team, you'll collaborate directly with our science team to build next-generation conversational assistant capabilities using LLMs. Your day involves designing and implementing software components while applying best practices in fine-tuning, In-Context Learning, and prompt optimization techniques. You'll balance independent work with team collaboration, participate in code reviews, and continuously improve our systems to enhance the customer experience. Each day offers opportunities to contribute to innovative solutions that impact millions of users worldwide. About the team Join our Alexa AI team at the forefront of artificial intelligence innovation. You'll collaborate with scientists and engineers to develop next-generation conversational assistant capabilities using advanced LLM techniques. Our team creates technology that impacts millions of users worldwide while solving complex AI challenges. You'll have opportunities to grow your expertise in fine-tuning, In-Context Learning, and prompt optimization in a supportive environment that values diverse perspectives and innovative thinking. Basic Qualifications: - Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence - Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design - Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems Preferred Qualifications: - Bachelor's degree in computer science or equivalent - Experience working on Machine Learning applications - Experience defining system architectures and exploring technical feasibility tradeoffs - Ability to effectively communicate with technical and non-technical stakeholders across all levels of the organization 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 [https://www.amazon.jobs/en/privacy_page]) to know more about how we collect, use and transfer the personal data of our candidates. 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 [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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Responsibilities

As a Software Engineer, you will design, implement, and deploy high-quality software components and features. You will also collaborate with the science team to enhance conversational assistant capabilities.