Applied Scientist III, Onsite Buying eXperience

Come be a part of a rapidly expanding $35 billion dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo.

We stand at the intersection of tech & retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations thrive.

At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible.

Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential.

Amazon Business’s Onsite Buying Experience (OBX) sub-charters include several core products with a vision to create best-in-class procurement experience, for organizations of all sizes, where any requisitioner in the world can buy any of their business relevant and compliant items effortlessly and efficiently in 60 seconds or less.

The applied scientist in the OBX team will act as a horizontal supporting all science initiatives in fulfilling the above mission.

We are seeking a talented applied researcher to join the OBX Science (OBX-Science) team in AB. The OBX-science team is responsible for improving the quality of search results shown to enterprise customers.

Enterprise customer needs are disparate from the needs of the Retail customers. Amazon Business has a goal to generate a revenue of $100 B in the next 5 years and improving the discoverability of products and providing what the customers need is critical to achieving this mission.

Search in itself is going through a transformation with the advent of LLMs and other such innovations. We believe that shopping on Amazon should be simple, delightful, and stress free for enterprise customers.

As an Applied Scientist, you will be working closely with a team of applied scientists and engineers to build systems that shape the future of Amazon Business's shopping experience.

You will improve ranking and optimization in our algorithm through building customized features that are suited for AB customers.

You will participate in driving features from idea to deployment, and your work will directly impact millions of customers.

You are going to love this job because you will :

• Apply state-of-the-art Machine Learning (ML) algorithms, including Deep Learning to improve hundreds of millions of customers’ shopping experience.
• Have measurable business impact using A / B testing.
• Work in a dynamic team that provides continuous opportunities for learning and growth.
• Work with leaders in the field of machine learning.

Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.

com (AMZN), one of the world's leading internet companies. We provide a highly customer-centric, team-oriented environment.

A successful candidate will have a solid research background in machine learning algorithms, customer obsession, great communication skills, and the motivation to achieve results in a fast-paced environment.

BASIC QUALIFICATIONS

• 4+ years of applied research experience
• 3+ years of building machine learning models for business application experience
• PhD, or Master's degree and 6+ years of applied research experience
• Experience programming in Java, C++, Python or related language
• Experience with neural deep learning methods and machine learning

PREFERRED QUALIFICATIONS

• Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
• Experience with large scale distributed systems such as Hadoop, Spark etc.
30+ days ago