Principal Applied Scientist, Search Quality
DESCRIPTION
Do you want to be part of a new team at Amazon that is making history? Do you want to build technology and new science that millions of people will use? Are you excited about working on large scale Natural Language Processing (NLP), Machine Learning (ML), and Deep Learning (DL)?
We in Amazon search are embarking on a multi-year journey to rethink the shopping experience on Amazon starting with a solid understanding of the customer’s shopping mission and using that to present products that they will like, view, and purchase. But all that begins with a deep and accurate understanding of the search query and products in our product catalog which we can use to find high quality matches between queries and products. And we believe that the latest advances in deep learning technology can help us realize our team’s long-term vision of making shopping effortless on Amazon.
We are looking for a tenured science leader to work on improving the models that we use to match search queries with products on Amazon using the latest advances in NLP, ML, and DL. This is a highly visible role with a huge impact on Amazon customers and business. As a part of this role, you will lead an inter-disciplinary team of scientists and engineers to develop high precision, high recall, and low latency solutions to match queries with relevant products. Your solutions should work for all languages that Amazon supports including but not limited to English, German, French, Italian, Spanish, Japanese, Chinese, Portuguese, Dutch, etc. and will be used in all Amazon locales world-wide. You will work with leaders across search to develop a strategic vision and long term plans to improve matching on Amazon. You will be technically fearless and will develop scalable science and engineering solutions that work successfully in production.
This is a position on a team that is spread between Seattle and Palo Alto. We are moving fast to change the way Amazon search works. As a Principal Applied Science Leader you will lead scientists, engineers, and managers and serve as a point of contact with other Search leaders WW. Together with a multi-disciplinary team you will work on building solutions with NLP, ML, and DL at its core. Along the way, you’ll learn a ton, have fun and have a positive impact on millions of customers.
We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA
BASIC QUALIFICATIONS
• Master's degree in Computer Science or equivalent
• 7+ years of experience in managing successful teams
• 12+ years industry experience building successful production science systems
• Experience with machine learning technologies, Deep Learning, Natural Language Processing ( NLP), information retrieval or related applications
• Experience communicating with executives and non-technical leaders
• Strong Computer Science fundamentals in data structures, algorithm design, and statistics
PREFERRED QUALIFICATIONS
• PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field
• Significant peer reviewed scientific contributions in Natural Language Processing, Speech Recognition, Computer Vision or relevant field.
• Expertise on a broad set of ML approaches and techniques, ranging from Artificial Neural Networks to Bayesian Non-Parametric methods
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. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $159,100/year in our lowest geographic market up to $309,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. Applicants should apply via our internal or external career site.