At a Glance
- Tasks: Design and implement machine learning models to enhance the hiring process.
- Company: Join Amazon's Intelligent Talent Acquisition team, a leader in people science and technology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with opportunities to solve complex hiring challenges.
- Why this job: Make a real impact on how people connect with jobs using cutting-edge technology.
- Qualifications: PhD enrolment in a relevant field and experience in machine learning or algorithms.
The predicted salary is between 63000 - 77000 £ per year.
Do you want a role with deep meaning and the ability to make a major impact?
As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations.
ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more, all with the shared goal of connecting the right people to the right jobs in a way that is fair and precise.
Last year we delivered over 6 million online candidate assessments, and helped Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of workers in the right quantity, at the right location and at exactly the right time.
You’ll work on state-of-the‑art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life.
Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives.
Together, we can solve the world's toughest hiring problems.
- Key job responsibilities
- Design and implement machine learning models that power recommendation systems for job seekers and recruiters, ensuring high performance, scalability, and reliability at global scale.
Our ideal candidate has a strong scientific foundation and experience of statistical analysis and model building and has a passion for fairness and explainability in ML systems.
- Collaborate with engineers, scientists, and product managers to define requirements, create solutions, and deliver products that improve the hiring experience.
- Participate in the full software development lifecycle including scoping, design, coding, testing, documentation, deployment, and maintenance of recommendation systems and ML models.
- Solve complex ML problems using optimal data structures and algorithms, making thoughtful trade-offs between efficiency and maintainability.
- Stay current with scientific literature and develop novel approaches that address business challenges in talent acquisition.
You will have the opportunity to provide feedback on scientific work across the organization helping the entire Intelligent Talent Acquisition organization improve.
A day in the life
You might spend the morning reviewing a colleague’s code for a new recommendation algorithm feature, then collaborate with product managers to refine requirements for an upcoming enhancement.
After lunch, you’ll dive into model development, analyzing performance metrics from recent A/B tests and implementing improvements to the job-seeker recommendation pipeline.
Throughout the day, you’ll participate in scientific discussions with peers across the organization, providing valuable feedback while continuing to refine your expertise.
- BASIC QUALIFICATIONS
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
- Are enrolled in a Ph D in a relevant field
- Experience building machine learning models or developing algorithms for business application
- Experience in designing experiments and statistical analysis of results
- PREFERRED QUALIFICATIONS
- Experience in professional software development
- Experience programming or scripting language like Python, Java, C or C++
Applied Scientist, Pxt Legends employer: Amazon Development Centre (Scotland) Limited
Amazon Development Centre (Scotland) Limited provides a collaborative work environment that encourages innovation and professional development. Employees are involved in impactful projects that focus on fairness in hiring, making it an attractive place for those passionate about technology and social responsibility.
Contact Details:
Amazon Development Centre (Scotland) Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Applied Scientist, Pxt Legends
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We think you need these skills to ace Applied Scientist, Pxt Legends
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!
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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!
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✨Get Comfortable with Python and R
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✨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.
