Applied Scientist, PXT Job-Person Matching
Sector: Science and Pharmaceutical
Role: Professional
Contract Type: Permanent
Hours: Full Time
DESCRIPTION
Do you want a role with deep meaning and the ability to make a massive impact? Hiring top talent is critical to Amazon's success—it can literally change the world. 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. We are looking for AI/ML scientists who can delight our customers by continually learning and inventing, and who want to use their expertise to solve real business problems. Familiarity with natural language processing, two-tower embedding models, and experience with the science associated with recommendation and matching would be ideal, but there will be opportunities to learn these skills on the job as long as you have a strong scientific foundation to build from, experience in statistical analysis, and expertise in model building.
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
- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience programming in Java, C++, Python or related language
- Experience researching machine learning, deep learning, NLP, computer vision, data science
- Experience building machine learning models or developing algorithms for business application
PREFERRED QUALIFICATIONS
- Experience implementing algorithms using both toolkits and self-developed code
- 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 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.
Amazon is committed to a diverse and inclusive workplace. 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 our accommodations page for more information.
#J-18808-Ljbffr