At a Glance
- Tasks: Innovate in Generative AI tech and advance speech generation with novel algorithms.
- Company: Join Amazon Science in Greater London, a leader in tech innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborate with diverse teams on impactful projects in a dynamic environment.
- Why this job: Make a real impact on Alexa's global presence through cutting-edge technology.
- Qualifications: PhD or Master's in a related field and strong programming skills.
The predicted salary is between 60000 - 80000 £ per year.
Amazon Science in Greater London is seeking an experienced Applied Scientist to innovate in Generative Artificial Intelligence technology. The role focuses on advancing speech generation through novel algorithms leveraging large datasets.
The ideal candidate holds a PhD or Master's in a related field and has solid programming skills. You will work with diverse teams and contribute to impactful projects that enhance Alexa's international presence.
GenAI Speech Scientist — Multilingual & Multimodal Tech in London employer: Amazon Science
Amazon Science in Greater London offers an exceptional work environment for GenAI Speech Scientists, fostering innovation and collaboration among diverse teams. Employees benefit from a culture that prioritises professional growth, with access to cutting-edge technology and impactful projects that enhance global communication through Alexa. The company's commitment to employee development and its dynamic location make it an attractive choice for those seeking meaningful and rewarding careers in AI.
StudySmarter Expert Advice🤫
We think this is how you could land GenAI Speech Scientist — Multilingual & Multimodal Tech in London
✨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!
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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 GenAI Speech Scientist — Multilingual & Multimodal Tech at Amazon Science.
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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.
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We think you need these skills to ace GenAI Speech Scientist — Multilingual & Multimodal Tech in London
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.
