At a Glance
- Tasks: Research and innovate in cutting-edge LLM technologies for Amazon products.
- Company: Join Amazon's AGI Information team, a leader in AI research.
- Benefits: Competitive salary, diverse work culture, and opportunities for impactful projects.
- Other info: Dynamic environment with a focus on independence and career growth.
- Why this job: Make a real difference in AI while working on high-visibility projects.
- Qualifications: PhD or Master's in relevant fields with programming experience.
The predicted salary is between 60000 - 80000 € per year.
We are looking for a researcher in cutting‐edge LLM technologies for applications across Alexa, AWS, and other Amazon businesses. In this role, you will innovate in the fastest‐moving fields of current AI research, in particular in how to integrate a broad range of structured and unstructured multimodal information into AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products.
If you are deeply familiar with LLMs, 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 as well as business stakeholders to maximize velocity and impact of your team's contributions.
It's an exciting time to be a leader in AI research. In Amazon's AGI Information team, you can make your mark by improving information‐driven experience of Amazon customers worldwide!
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
- Experience with natural language processing and/or processing of multi‐modal data (e.g. images)
- Experience using Unix/Linux
- Experience in professional software development
- Experience with 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.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers.
Applied Scientist, AGI Information in Cambridge employer: Amazon Science
Amazon is an exceptional employer for those passionate about AI research, offering a dynamic work environment where innovation thrives. With opportunities to collaborate across diverse teams and apply cutting-edge LLM technologies in real-world applications, employees benefit from a culture that values independence, creativity, and continuous learning. Located at the forefront of technological advancement, Amazon provides a unique platform for professional growth and impactful contributions to enhance customer experiences globally.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Scientist, AGI Information in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and machine learning space, especially those who work at Amazon. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to LLMs and natural language processing. This is your chance to demonstrate your expertise and passion, so make it shine!
✨Tip Number 3
Prepare for technical interviews by brushing up on algorithms, data structures, and programming languages like Python or Java. Practice coding challenges and be ready to discuss your past research and its impact.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Applied Scientist, AGI Information in Cambridge
Some tips for your application 🫡
Show Your Passion for AI:When writing your application, let your enthusiasm for AI and LLM technologies shine through. We want to see how your passion aligns with our mission at Amazon, so share any relevant projects or experiences that highlight your love for innovation in this field.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the Applied Scientist role. Highlight your experience with natural language processing, machine learning, and any relevant programming skills. We appreciate when candidates take the time to connect their background to what we’re looking for!
Be Clear and Concise:In your written application, clarity is key! Use straightforward language and avoid jargon where possible. We want to understand your qualifications and ideas without having to decipher complex sentences. Keep it professional but approachable!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it’s super easy to do – just follow the prompts and you’ll be on your way to joining our team!
How to prepare for a job interview at Amazon Science
✨Know Your LLMs Inside Out
Make sure you brush up on your knowledge of large language models (LLMs) and their applications. Be ready to discuss recent advancements in the field, especially those relevant to Amazon's products. This shows your passion and expertise, which will definitely impress the interviewers.
✨Showcase Your Research Experience
Prepare to talk about your past research, especially any patents or publications you've contributed to. Highlight how your work has impacted the field and be specific about your role in those projects. This will demonstrate your ability to drive ambitious research agendas.
✨Demonstrate Technical Proficiency
Since programming skills are crucial for this role, be ready to discuss your experience with languages like Java, C++, or Python. You might even want to prepare for some technical questions or coding challenges that could come up during the interview.
✨Emphasise Collaboration Skills
This position requires working closely with other teams, so be prepared to share examples of how you've successfully collaborated in the past. Discuss how you’ve maximised the impact of your contributions through teamwork, as this is key in a fast-paced environment like Amazon.
