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- Tasks: Join the AGI team to develop cutting-edge algorithms and models in Generative AI.
- Company: Amazon is a global leader in technology, dedicated to innovation and customer experience.
- Benefits: Enjoy flexible work options, competitive pay, and access to advanced resources.
- Why this job: Make a real impact on products that enhance speech and language technology for customers.
- Qualifications: PhD or Master's in CS, CE, ML; programming skills in Java, C++, or Python required.
- Other info: Diversity is key at Amazon; we value your unique skills and experiences.
The predicted salary is between 43200 - 72000 £ per year.
The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilities:
- As an Applied Scientist with the AGI team, you will work with talented peers to lead the development of novel algorithms and modeling techniques, to advance the state of the art with LLMs.
- Your work will directly impact our customers in the form of products and services that make use of speech and language technology.
- You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.
About the team:
The AGI team has a mission to push the envelope in GenAI with 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 patents or publications at top-tier peer-reviewed conferences or journals.
- Experience programming in Java, C++, Python or related language.
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
- Experience in building machine learning models for business application.
PREFERRED QUALIFICATIONS:
- Experience using Unix/Linux.
- Experience in professional software development.
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.
Applied Scientist, Amazon Nova employer: ENGINEERINGUK
Contact Detail:
ENGINEERINGUK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist, Amazon Nova
✨Tip Number 1
Familiarise yourself with the latest advancements in Generative AI and Large Language Models. Being able to discuss recent breakthroughs or trends during your interview will show your passion and knowledge in the field.
✨Tip Number 2
Connect with current or former employees of Amazon's AGI team on platforms like LinkedIn. They can provide insights into the team culture and expectations, which can help you tailor your approach when applying.
✨Tip Number 3
Prepare to demonstrate your programming skills in languages like Python or Java during technical interviews. Practising coding challenges related to algorithms and data structures can give you an edge.
✨Tip Number 4
Showcase any relevant projects or research you've done in machine learning or deep learning. Be ready to discuss how these experiences have prepared you for the role and how they align with the goals of the AGI team.
We think you need these skills to ace Applied Scientist, Amazon Nova
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your deep learning background and relevant experience in algorithms, programming languages, and machine learning models. Use specific examples that demonstrate your skills and achievements in these areas.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for Generative Artificial Intelligence and your understanding of the AGI team's mission. Mention any relevant patents or publications to strengthen your application.
Highlight Relevant Experience: In your application, emphasise any experience you have with large language models, multimodal systems, and high-performance computing. Be specific about your contributions and the impact they had on previous projects.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or inconsistencies. A well-presented application reflects your attention to detail and professionalism, which are crucial for a role in a cutting-edge field like AGI.
How to prepare for a job interview at ENGINEERINGUK
✨Showcase Your Deep Learning Expertise
Be prepared to discuss your experience with deep learning, particularly in relation to Generative AI and Large Language Models. Highlight any relevant projects or research you've conducted, and be ready to explain the algorithms and techniques you used.
✨Demonstrate Problem-Solving Skills
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and concisely, especially when it comes to algorithms, data structures, and numerical optimisation.
✨Familiarise Yourself with Amazon's Tech Stack
Research the programming languages and technologies commonly used at Amazon, such as Java, C++, and Python. If you have experience with Unix/Linux, be sure to mention it, as it could give you an edge.
✨Prepare for Behavioural Questions
Amazon values a diverse workforce and looks for candidates who align with their leadership principles. Prepare examples from your past experiences that demonstrate your ability to invent, simplify, and build, as well as how you work collaboratively in a team.
