Applied Scientist, PXT LEGENDS
DESCRIPTION
Do you want a role with deep meaning and the ability to make a massive impact? Hiring top talent is not only critical to Amazon's success-it can literally change the world. It took a lot of great hires to deliver innovations like AWS, Prime, and Alexa, which make life better for millions of customers around the world every day. As part of the Intelligent Talent Acquisition (ITA) team, you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy that Amazon's Talent Acquisition operations need.
ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more. Our shared goal is to fairly and precisely connect the right people to the right jobs. Last year, we delivered over 6 million online candidate assessments, replacing the "game of chance" with a merit-based approach that gives candidates the chance to showcase their true skills. Each year we help Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of associates 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 to solve complex hiring challenges. Leveraging Amazon's in-house tech stack built on AWS, you'll have the autonomy and flexibility to bring innovative solutions to life. One day, we can bring these solutions to the rest of the world. Join ITA in using cutting-edge 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.
You will work as an Applied Scientist in a team of other scientists and software developers. You will primarily be writing solutions in Python and will be using the latest technologies including AWS (e.g. Sagemaker). You will be contributing regularly to the code base as this is an applied role with the expectation of 50% of your time spent on the code. Your solutions will meet remarkably high standards of performance and reliability, and will operate at massive scale.
You will work as part of a sustainably paced agile team. You will play a hands on lead role in your team giving you the responsibility, authority, and autonomy to ensure success. You will be involved in every aspect of the process - from idea generation, customer engagement, business analysis and scientific design through to software development and operations.
Join a team full of talented people who come from all over the world. Enjoy the chance to work in a relaxed setting with a good social life. The team, primarily based in Edinburgh, Scotland, is rapidly expanding.
Our ideal candidate is an experienced Applied Scientist who has a track-record of statistical analysis and building models to solve real business problems, has great leadership and communication skills, and has a passion for fairness and explainability in ML systems.
The role offers an exceptional opportunity for growth and to make a real difference to Amazon recruitment. If you are selected, you have the opportunity to really impact our business by inventing, improving, and building world class systems, delivering results, working on exciting and challenging projects.
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
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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. 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 visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.