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- Tasks: Lead the development of cutting-edge algorithms in Generative AI and Large Language Models.
- Company: Join Amazon's AGI team, pioneering advancements in Artificial General Intelligence.
- Benefits: Enjoy a diverse workplace with opportunities for growth and innovation.
- Why this job: Make a real impact on products that enhance customer experiences with speech and language technology.
- Qualifications: Master's degree and experience in programming languages like Java, C++, or Python required.
- Other info: Amazon values diversity and is committed to an inclusive work environment.
The predicted salary is between 43200 - 72000 £ per year.
DESCRIPTION The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior 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 a Senior Applied Scientist with the AGI team, you will work with talented peers to lead and own hands-on 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 Master\’s degree Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. Experience with large scale distributed systems such as Hadoop, Spark etc. 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. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. #J-18808-Ljbffr
Senior Applied Scientist - AGI, Artificial General Intelligence employer: Redefined Ltd
Contact Detail:
Redefined Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied Scientist - AGI, Artificial General Intelligence
✨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 hands-on experience with deep learning frameworks like TensorFlow or PyTorch. Be ready to discuss specific projects where you applied these technologies, as practical experience is crucial for this role.
✨Tip Number 4
Understand Amazon's approach to diversity and inclusion. Be prepared to discuss how your unique background and experiences can contribute to a diverse team, aligning with Amazon's values and mission.
We think you need these skills to ace Senior Applied Scientist - AGI, Artificial General Intelligence
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with deep learning, machine learning models, and programming languages like Java, C++, or Python. Emphasise any relevant projects or research that align with the AGI team's focus on Generative AI.
Craft a Compelling Cover Letter: In your cover letter, express your passion for artificial intelligence and detail how your skills and experiences make you a perfect fit for the Senior Applied Scientist role. Mention specific technologies or methodologies you've worked with that relate to the job description.
Showcase Relevant Projects: Include a section in your application that showcases any relevant projects or research you've conducted, particularly those involving large language models or multimodal systems. This will demonstrate your hands-on experience and innovative thinking.
Highlight Team Collaboration: Since the role involves working with talented peers, mention any previous experiences where you collaborated on projects or contributed to team success. Highlight your ability to work in diverse teams and your commitment to an inclusive workplace.
How to prepare for a job interview at Redefined Ltd
✨Showcase Your Technical Skills
Make sure to highlight your experience with programming languages like Java, C++, and Python. Be prepared to discuss specific projects where you've applied deep learning methods and machine learning techniques.
✨Demonstrate Your Problem-Solving Abilities
Prepare to discuss how you've tackled complex problems in your previous roles. Use examples that showcase your ability to develop novel algorithms and modelling techniques, especially in the context of Generative AI.
✨Familiarise Yourself with Relevant Tools
Brush up on your knowledge of modelling tools such as TensorFlow, scikit-learn, and MxNet. Being able to discuss your hands-on experience with these tools will show your readiness for the role.
✨Emphasise Collaboration and Communication
The AGI team values teamwork, so be ready to talk about your experiences working in collaborative environments. Highlight how you’ve communicated complex ideas effectively to both technical and non-technical stakeholders.
