Building and owning information retrieval algorithms that can capture the content and variation in Targets catalogue systems and enrich them with additional information extracted from the web.
Conceptualizing new methods to extract image and video based features from our catalogue, and coming up with ways to include them in product discovery experiences by partnering with product managers on customer feedback.
Experimenting with search relevance algorithms, and carrying out systematic statistical analysis to pick out features that impact customer experience the most.
Building mathematical models on a huge volume of user behavior data internal to target, and personalizing search results, and other means of assisting our customers discovery experiences, and increasing revenue for target through recommending products that are most likely to be purchased.
Building real-time refresh pipelines and a scalable data engineering architecture to process the large volumes of data involved in building a web-scale search engine for several hundred millions of customers.
Optimising our core search for performance and stability on indexing and document retrieval by effectively extending and contributing to open source search engines used by Target.
Demonstrated proficiency with performance computing systems such as Hadoop/Spark/Storm, and working knowledge of ETL systems, and data models.
Detail oriented and systematic approach: This team will be working with engineers in one of the most core areas in retail. To be successful in this role, you should be comfortable executing with little oversight and be able to drive lasting impact, operating under uncertainties.
Experience in building scalable distributed systems and implementing information retrieval and machine learning algorithms.
Proven ability at problem solving from first principles, putting the customer first, and focusing on using technology to find powerful solutions to business problems.
Conversant in Java or Scala, and web scale software development.
Full stack engineer, who is comfortable with developing services following standard engineering practices and owning the testing and deployment end to end.
Strong communication skills, and willingness to mentor and grow engineers in the team.
Looking for B.e/b.tech graduates profile.