ADCI

Software Development, Retail

SoftwareDevelopmentEngineer2,AmazonSearchRelevanceMeasurement

₹22–35L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Software Development Engineer 2, Amazon Search Relevance Measurement at ADCI. Skills: Machine Learning Infrastructure, Search Quality, Data Analysis. Develop Machine Learning Infrastructure. Develop Machine Learning applications”

What You'll Achieve.

Improve relevance; Improve search quality

Industry & Context.

Software Development, Retail
Problems you'll solve

Problem-solving skills; Deal well with ambiguous; Deal well with undefined; Think abstractly

What They're Looking For.

Must Have

3+ years software development experience, 2+ years system design experience, Programming experience, 3+ years full SDLC experience, Coding standards experience, Code reviews experience, Source control management experience, Build processes experience, Testing experience, Operations experience

Nice to Have

Object-oriented design skills, Object-oriented coding skills, UNIX platform experience, Linux platform experience, Python knowledge a plus, Scripting languages knowledge a plus, Distributed systems experience, Algorithms experience, Relational databases experience, ML background preferable, Statistics background preferable, Map-reduce experience highly preferred, EMR experience highly preferred, Spark experience highly preferred, Technical challenges articulation, Solutions articulation, Ambiguous ability, Undefined ability, Abstract thinking ability, Technical internship experience preferred, Competitive Coding experience preferred

What You'll Do.

Develop Machine Learning Infrastructure

Develop Machine Learning applications

Enhance Search Quality

Analyze petabytes of data

Enable Amazon Search measurement

Identify opportunities for improvement

Contribute to Search Defects process

Provide training data

Build defect experience

Evaluate defect experience

Measure defect experience

Design robust systems

Implement scalable systems

Implement efficient systems

Measure impact of Search Quality

Collaborate with data scientists

Collaborate with product managers

Collaborate with ML engineers

Drive continuous improvement

How You'll Work.

Team & Collaboration

Cross-functional teams; Data scientists; Product managers; Machine learning engineers; Engineers; Applied scientists; Business intelligence engineers; Product managers

Communication Scope

Articulate technical challenges; Articulate solutions

Full Job Description

We are seeking an exceptional Software Development Engineer to join our Relevance Measurement team, focused on developing innovative Machine Learning Infrastructure and applications to enhance Search Quality at Amazon. In this pivotal role, you will have the opportunity to make a significant impact on the design, architecture, and development of Amazon's Search Measurement systems, paving the way for the Search business. Amazon Search Science builds machine learning algorithms leveraged by hundreds of millions of customers worldwide to discover products from billions of available items on Amazon.com. Our Relevance Measurement team is dedicated to developing systems and metrics powered by search and browse attributed user behavioral datasets, which are utilized by search algorithms. Our singular mission is to improve relevance and search quality for Amazon customers. Key job responsibilities Your primary responsibilities will include: 1. Developing Machine Learning Infrastructure and applications utilizing large language models to enhance Search Quality. 2. Analyzing petabytes of data to enable Amazon Search to measure customer success metrics and identify opportunities for improvement. 3. Contributing to the Search Defects process, providing training data for defect classifiers, and enabling matching and ranking experimenters to build, evaluate, and measure the overall defect experience for Amazon customers. 4. Designing and implementing robust, scalable, and efficient systems to measure the impact of Search Quality improvements on customer satisfaction and business metrics. 5. Collaborating with cross-functional teams, including data scientists, product managers, and machine learning engineers, to drive innovation and continuous improvement in Search Quality. To excel in this role, you should possess a strong background in software development, machine learning, and data engineering. Experience with large language models, natural language processing, and search rel

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