About Us:

As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.

Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.

Overview about TII

At Target, we have a timeless purpose and a proven strategy. And that hasn’t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target’s global team and has more than 4,000 team members supporting the company’s global strategy and operations.

Pyramid Overview

A role with Target Data Science & Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you’ll be challenged to harness Target’s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.

Team Overview

Our Search Team powers digital search experiences for millions of Target guests and supports search capabilities used by store team members. Search plays a critical role in Target’s e-commerce and in-store experiences by connecting guests and team members with relevant, accurate, and timely results.

The team brings together expertise across Data Science, Software Engineering, Data Engineering, and MLOps to build and operate end-to-end search solutions at scale. We work on areas such as SLP experience, relevance and ranking, search APIs, data pipelines, machine learning models, experimentation, and production ML infrastructure.

Our focus is on continuously improving search quality, performance, reliability, and personalization while building scalable platforms that can support Target’s evolving digital and store experiences.

Position Overview

As a Search Engineer at Target, you will help build and evolve the search and discovery experiences that enable guests to quickly find the products they need across Target’s digital platforms.

You will work on large-scale search systems spanning information retrieval, query understanding, relevance ranking, semantic search, machine learning, and search infrastructure. You’ll partner closely with product managers, data scientists, machine learning engineers, and other engineering teams to improve search quality while building highly scalable, reliable, and performant services.

The ideal candidate combines strong software engineering fundamentals, machine learning, data engineering and MLOps with a deep interest in search, relevance, ranking, and large-scale distributed systems.

You help develop and gain insight in the application architecture. You can distill an abstract architecture into concrete design and influence the implementation. You show expertise in applying the appropriate software engineering patterns to build robust and scalable systems. You are an expert in programming and apply your skills in developing the product. You have the skills to design and implement the architecture on your own, but choose to influence your fellow engineers by proposing software designs, providing feedback on software designs and/or implementation. You leverage data science in solving complex business problems. You make decisions based on data. You show good problem solving skills and can help the team in triaging operational issues. You leverage your expertise in eliminating repeat occurrences.

About You

We are looking to hire Engineers with prior experience on Search with interest in data science, data engineering and MLOps :

• Code using primarily in Kotlin, Micronaut.

• Experience with Search Engines like SOLR and Elastic Search

• Experience on streaming systems like Kakfa. Experience on Kafka Streams is added advantage.

Know More About Us here:

• Life at Target- https://india.target.com/

• Benefits- https://india.target.com/life-at-target/workplace/benefits

• Culture- https://india.target.com/life-at-target/belonging