Sr. Technical Program manager- Information Retrieval, NLP and Machine Learning

Position number: 132154

_Contact_:
Email to nkrishna@amazon.com

Think you can lead and influence multiple innovative software engineering teams as they work on solving large scale product discovery problems related to the Amazon.com catalog? Then, we're looking for you...

The Catalog Quality and Search Experience team enriches the Amazon product catalog by extracting features, detecting and merging duplicate products, inferring relationships and classifying products with the goal of increasing product discoverability. We have an immediate opening for a Technical Program Manager.

Were looking for a technically strong, charismatic program and project leader with relentless focus and the innate desire to help customers to make it even easier to discover and shop for products on the world's greatest online store. If you have superior judgment, strong problem-solving and communication skills, the ability to influence people from A to Z by creating win-win solutions and the desire to influence and deliver on Amazon's next generation technology you've found a new home.

Merchants on Amazon.com often provide semi-structured information about the products they want to sell. Poorly structured product data makes supporting advanced product discovery features very challenging and often results in a suboptimal shopping experience. We use a combination of information retrieval, data mining, text analysis and machine learning to solve problems in the following three areas to improve the quality of Amazon's catalog and support a superior product discovery experience:

1. Fact Extraction: Extracting structured facts (such as brand name, color, size and other product features) about products from unstructured text with high accuracy and coverage.

2. Duplicate Product Detection: Detecting duplicate product listings in the catalog and merging them so that all offers for the same product are listed on the same page. Poorly structured or incomplete data makes this problem very challenging and often results in duplicate products getting created in the catalog. These duplicate products are shown in search results and end up confusing customers, leading to a bad customer experience.

3. Product Relationship Inference: Discovering a variety of product relationships (such as minor variations in size and color) and collapsing them in search with a view to increasing search result diversity. Placing relevant Product Advertisements on Amazon.com pages based on product similarity or compatibility.

In this role you will be responsible for developing, managing, tracking and delivering projects in these three areas with the highest levels of performance, reliability, and usability. You will maintain extensive reach across the company's various organizational groups to ensure that new software is rolled out on time, meets Amazon's stringent standards, and employs the most cost effective solution possible.

The ideal candidate will draw upon exemplary project management, critical thinking, and problem solving skills, and a passion for creating reliable and maintainable systems. You will have already worked in a similar space and bring your experience to bear on the product discovery problem space. You should be open to new challenges, extremely good at multi-tasking, innovative, creative, self-directed and a great team player.

Excellent written and verbal communication with multiple levels of leadership involving both bus

Basic Qualifications:

• Bachelor's degree in computer science, engineering, or a related discipline required; an advanced technical degree or/and complementary technical experiences a plus.
• 3+ years of professional software engineering in languages like Java, C++ or Perl.
• Experience in at least one of the following areas - Information Retrieval, Natural Language Processing, Machine Learning, Data Mining.
• Background in object oriented design, programming and coding.
• 5+ years experience managing full life-cycle projects and programs of an increasingly large and complex scale in a related industry.

• Masters or Ph.D. degree in computer science or related field.
• 5+ years of experience in related field.
• The ability to easily synthesize requirements from feature requests, recommend alternative technical and business approaches, and direct engineering efforts while meeting aggressive timelines.
• A solid grasp of the business side of technology with an understanding and zeal for metrics and analysis to deliver on business objectives.
• Maturity, judgment, negotiation/influence, analytical, and leadership skills are essential.
• Demonstrated ability to be highly innovative in areas such as online shopping, product classification or search, etc.

_Contact_: Email to nkrishna@amazon.com