Job ID: 2934726 | Amazon Data Services UK Limited
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.
We are looking for Applied Scientists who can delight our customers by continually learning and inventing. Our ideal candidate is an experienced Applied Scientist who has a track record of statistical analysis and building models to solve real business problems, with strong communication skills, and 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.
Key job responsibilities
You will work as an ML scientist in a team of other scientists and software developers. You will write scientific research for audiences with a range of scientific experience. You will routinely serve as the scientific advisor to the engineering and product teams to ensure the business and engineering choices are well supported by science.
You will be contributing regularly to the code base as this is an applied role with the expectation of 50% of your time spent coding. You will primarily be writing code in Python and will be using the latest technologies including AWS. Your solutions will meet high standards of performance and reliability, and will operate at massive scale.
BASIC QUALIFICATIONS
1. Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
2. Experience programming in Java, C++, Python or related language
3. Experience researching about machine learning, deep learning, NLP, computer vision, data science
4. Experience building machine learning models or developing algorithms for business application
PREFERRED QUALIFICATIONS
1. Experience implementing algorithms using both toolkits and self-developed code
2. Have publications at top-tier peer-reviewed conferences or journals
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. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is committed to a diverse and inclusive workplace. 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.
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