Job title: Applied Scientist II
Job 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 are embarking on a multi-year journey to improve the shopping experience for customers globally. Amazon Search team creates customer-focused search solutions and technologies that makes shopping delightful and effortless for our customers. Our goal is to understand what customers are looking for in whatever language happens to be their choice at the moment and help them find what they need in Amazon’s vast catalog of billions of products. As Amazon expands to new geographies, we are faced with the unique challenge of maintaining the bar on Search Quality due to the diversity in user preferences, multilingual search and data scarcity in new locales.
We are looking for an applied researcher to work on improving search on Amazon using NLP, ML, and DL technology. As an Applied Scientist, you will lead our efforts in query understanding, semantic matching (e.g. is a drone the same as quadcopter ), relevance ranking (what is a “funny halloween costume” ), language identification (did the customer just switch to their mother tongue ), machine translation ( ). This is a highly visible role with a huge impact on Amazon customers and business. As part of this role, you will develop high precision, high recall, and low latency solutions for search. Your solutions should work for all languages that Amazon supports and will be used in all Amazon locales world-wide. You will develop scalable science and engineering solutions that work successfully in production. You will work with leaders to develop a strategic vision and long term plans to improve search globally.
We are growing our collaborative group of engineers and applied scientists by expanding into new areas. This is a position on Global Search Quality team in Bangalore (India). We are moving fast to change the way Amazon search works. Together with a multi-disciplinary team you will work on building solutions with NLP/ML/DL at its core. Along the way, you ll learn a ton, have fun and make a positive impact on millions of people. Come and join us as we invent new ways to delight Amazon customers.
Do not hesitate to reach out if you have some of the following: ability to apply state of the art in large scale Machine Learning (e.g. semi-weakly-un-supervised deep learning, natural language understanding), curiosity to learn through controlled experimentation or experience with low latency production systems. Apply now or ping Shailendra Agarwal (https://www.linkedin.com/in/shailendra-agarwal-893a3b11/) to learn more about the different ways you can have huge impact with us.
We are an inclusive employer and value diversity at Amazon. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status., Master’s or PHD degree in Computer Science, Machine Learning, NLP or equivalent
2+ years of hands-on experience in Machine Learning or related field
1+ years of experience with one object oriented language (Java, C++, )
Strong software design, coding, problem solving, and complexity analysis PHD degree in Computer Science, Machine Learning, NLP or equivalent
Excellent verbal and written communication skills
Experience building high-performance production services
Experience working with extremely large data-sets
Experience with back-end development
Amazon is an Equal Opportunity-Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation
Location: Bangalore, Karnataka
Job date: Sat, 26 Dec 2020 08:43:06 GMT
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