At a Glance
- Tasks: Develop cutting-edge AI technology to enhance Alexa's speech across multiple languages.
- Company: Join Amazon's innovative Alexa International Tech team with a startup vibe.
- Benefits: Competitive salary, diverse work culture, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and a focus on scientific rigor.
- Why this job: Make a global impact by creating culturally relevant AI experiences.
- Qualifications: PhD or Master's in CS, ML, or related field; programming skills in Java, C++, or Python.
The predicted salary is between 70000 - 90000 £ per year.
The Alexa International Tech (AIT) 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. The role focuses on developing novel approaches to make Alexa sound more natural, expressive, and culturally relevant across multiple languages and locales, combining fundamental research with large‑scale production impact at the intersection of speech synthesis, large language models, and multimodal AI systems.
Key Job Responsibilities
- As an Applied Scientist in the Alexa International Tech team within Alexa AI, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art in multi‑modal 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 that deliver natural, expressive, and culturally appropriate speech experiences across multiple languages.
- You will design and conduct experiments, prototype new approaches, and iterate rapidly to validate hypotheses.
- You will publish findings at top‑tier conferences and contribute to Amazon’s intellectual property portfolio, while collaborating closely with engineering teams to transition research prototypes into production systems that serve customers at scale.
- This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations.
- You will mentor junior scientists, influence technical direction, and communicate results effectively to both technical and non‑technical stakeholders.
A Day in the Life
- You will start your day reviewing experiment results and iterating on model architectures for speech generation.
- You will collaborate with software engineers to optimize model performance for production deployment, and partner with product managers to align research priorities with customer needs.
- You will participate in science reviews, paper reading groups, and brainstorming sessions with fellow scientists across the organization.
- Your work directly impacts how Alexa sounds and communicates with customers in international markets, making every day an opportunity to solve meaningful problems at global scale.
About The Team
The Alexa International Tech team is a global team with engineering groups in all three regions. Our vision is to build an Alexa assistant that is culturally relevant, linguistically fluent, and locally present. The team operates with a startup mentality within Amazon, moving fast to deliver breakthrough experiences while maintaining the highest scientific rigor.
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, and 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.
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 contact our accommodations team. If the country or region you’re applying in isn’t listed, please contact your Recruiting Partner.
Applied Scientist, Alexa International Tech employer: Amazon Science
At Amazon, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As an Applied Scientist in the Alexa International Tech team, you will have the opportunity to work with cutting-edge technology and collaborate with talented peers, all while contributing to meaningful projects that impact customers globally. With a strong emphasis on employee growth, mentorship, and a culture that values diverse perspectives, Amazon is an excellent employer for those looking to make a significant impact in the field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Scientist, Alexa International Tech
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Amazon Science!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Applied Scientist, Alexa International Tech at Amazon Science.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Amazon Science.
✨Apply Directly through Our Website
When you find a suitable opening like Applied Scientist, Alexa International Tech at Amazon Science, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Applied Scientist, Alexa International Tech
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Amazon Science, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Amazon Science. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Amazon Science
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Amazon Science!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
