Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our AGI team to develop cutting-edge algorithms for speech generation using deep learning.
- Company: Amazon is a global leader in technology, dedicated to innovation and customer experience.
- Benefits: Enjoy flexible work options, competitive pay, and a diverse, inclusive workplace culture.
- Why this job: Be part of a pioneering team pushing the boundaries of Generative AI and multimodal systems.
- Qualifications: PhD or Master's in CS, CE, ML; programming skills in Java, C++, or Python required.
- Other info: We value diversity and are committed to creating an inclusive environment for all.
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 on our team you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in multi-modal AGI models, with a focus on speech generation.
- You will leverage Amazon's heterogeneous data sources and large-scale computing resources to build Machine Learning models for their application in speech generation.
- This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations.
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
Applied Scientist, Artificial General Intelligence, AGI Generation employer: Energy Job Search
Contact Detail:
Energy Job Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Scientist, Artificial General Intelligence, AGI Generation
✨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 demonstrate your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the AGI and machine learning community. Attend relevant conferences, webinars, or meetups to connect with others in the field, which could lead to valuable insights or referrals for the position.
✨Tip Number 3
Prepare to showcase your problem-solving skills through practical examples. Be ready to discuss specific projects where you developed algorithms or models, particularly those related to speech generation or multimodal systems.
✨Tip Number 4
Brush up on your programming skills, especially in Python, Java, or C++. Consider working on a small project that involves building a machine learning model, as this hands-on experience can be a great talking point during your interview.
We think you need these skills to ace Applied Scientist, Artificial General Intelligence, AGI Generation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your deep learning background and relevant experience in machine learning models, especially in speech generation. Use keywords from the job description to align your skills with what the AGI team is looking for.
Craft a Strong Cover Letter: Write a cover letter that showcases your passion for Generative AI and your technical expertise. Mention specific projects or research that demonstrate your ability to develop novel algorithms and modelling techniques.
Highlight Publications and Patents: If you have any publications or patents, make sure to include them in your application. This will show your experience in contributing to top-tier peer-reviewed conferences or journals, which is a key qualification for this role.
Prepare for Technical Questions: Be ready to discuss your programming experience and knowledge of algorithms, data structures, and machine learning models during the interview process. Prepare examples that illustrate your problem-solving skills and technical leadership.
How to prepare for a job interview at Energy Job Search
✨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 projects or research you've conducted that demonstrate your ability to develop novel algorithms and modelling techniques.
✨Demonstrate Problem-Solving Skills
Expect to face technical questions that assess your problem-solving abilities. Practice explaining complex concepts clearly and concisely, as this role requires summarising intricate data and models effectively.
✨Familiarise Yourself with Multimodal Systems
Since the role focuses on speech generation within multimodal AGI models, brush up on your knowledge of how different modalities interact. Be ready to discuss how you would approach integrating various data sources into your models.
✨Prepare for Behavioural Questions
As a pragmatic technical leader, you'll need to demonstrate your ability to handle ambiguity and lead projects. Prepare examples from your past experiences that showcase your leadership skills and adaptability in challenging situations.
