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- Tasks: Develop cutting-edge AI technology and innovate with Large Language Models.
- Company: Join Amazon, a leader in tech innovation and diversity.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Why this job: Be at the forefront of AI research and make a real impact on customer experience.
- Qualifications: PhD or Master's in relevant fields; programming skills in Java, C++, or Python required.
- Other info: Inclusive culture that values diverse perspectives and supports workplace accommodations.
The predicted salary is between 43200 - 72000 £ per year.
Job ID: 2970334 | Amazon Development Center Germany GmbH
We are looking for a passionate, talented and inventive Applied Scientist to develop industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs). In this role, you will innovate in the fastest-moving fields of current AI research, in particular developing state-of-the-art foundation models capable of processing a broad range of prompts and information in many languages.
If you are deeply familiar with Large Language Model development, natural language processing and machine learning, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all the way to production. You will work with other science and engineering teams across AGI, as well as business stakeholders to maximize velocity and impact of your team\’s contributions.
Key job responsibilities
– Design and execute experiments to evaluate the performance of post-training algorithms and data, and iterate quickly to improve results.
– Build solutions that address customer needs, making informed trade-offs to balance accuracy, efficiency, and user experience.
– Work with peers to develop novel algorithms or modeling techniques to advance the state of the art with LLMs.
About the team
The AGI team has a mission to push the envelope in LLMs and multimodal systems, in order to provide the best-possible experience for our customers.
BASIC QUALIFICATIONS
– PhD, or a Master\’s degree and experience in CS, CE, ML or related field
– Experience in designing experiments and statistical analysis of results
– Experience programming in Java, C++, Python or related language
– Experience with deep learning and/or machine learning, post-training techniques for LLMs (SFT, DPO, PPO etc.), natural language processing.
PREFERRED QUALIFICATIONS
– Experience using Unix/Linux
– Experience in patents or publications at top-tier peer-reviewed conferences or journals
– Experience with popular deep learning frameworks such as MxNet and Tensor Flow
– Experience in professional software development
– Experience building machine learning models or developing algorithms for business application
– Hands-on experience in training and evaluating LLMs
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 ( ) to know more about how we collect, use and transfer the personal data of our candidates.
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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 for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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Applied Scientist, Artificial General Intelligence, AGI Information employer: Amazon
Contact Detail:
Amazon Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist, Artificial General Intelligence, AGI Information
✨Tip Number 1
Familiarise yourself with the latest advancements in Large Language Models and Generative AI. Follow key researchers and organisations in the field on social media and engage with their content to stay updated and show your passion during interviews.
✨Tip Number 2
Network with professionals already working in AI and machine learning. Attend relevant conferences, webinars, or meetups to connect with industry experts and gain insights that could give you an edge in your application.
✨Tip Number 3
Prepare to discuss your hands-on experience with deep learning frameworks like TensorFlow or MxNet. Be ready to share specific projects where you've implemented algorithms or models, as practical knowledge is highly valued in this role.
✨Tip Number 4
Demonstrate your problem-solving skills by thinking through potential challenges in developing LLMs. During interviews, articulate how you would approach designing experiments or improving model performance, showcasing your innovative mindset.
We think you need these skills to ace Applied Scientist, Artificial General Intelligence, AGI Information
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Applied Scientist position. Familiarise yourself with concepts like Large Language Models, natural language processing, and machine learning.
Tailor Your CV: Customise your CV to highlight relevant experience in AI research, programming languages (Java, C++, Python), and any hands-on experience with deep learning frameworks. Emphasise your PhD or Master's degree and any publications or patents.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your innovative mindset. Discuss specific projects or experiences that demonstrate your ability to design experiments and develop algorithms, aligning them with the job's requirements.
Highlight Collaboration Skills: In your application, mention your experience working with cross-functional teams. Highlight how you've collaborated with peers and stakeholders to drive research agendas and deliver impactful solutions.
How to prepare for a job interview at Amazon
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with Large Language Models and machine learning in detail. Highlight specific projects where you've designed experiments or developed algorithms, as this will demonstrate your hands-on knowledge and problem-solving skills.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your ability to tackle complex problems. Practice explaining your thought process when designing experiments or making trade-offs between accuracy and efficiency, as this reflects the decision-making independence required for the role.
✨Familiarise Yourself with the Latest Trends
Stay updated on the latest advancements in Generative AI and multimodal systems. Being able to discuss recent developments or breakthroughs in the field will show your passion and commitment to innovation, which is crucial for this position.
✨Demonstrate Collaboration Skills
Since the role involves working with various teams, be ready to share examples of how you've successfully collaborated with others in past projects. Emphasising your ability to communicate effectively and work towards common goals will resonate well with the interviewers.
