Summer 2026 Internship – Backend Search Engineer Intern

Reposted 20 Hours Ago
Be an Early Applicant
Barcelona, Cataluña, ESP
In-Office
Internship
Digital Media • Fintech • Information Technology
The Role
As a Backend Search Engineering Intern, you will develop search components, implement algorithms, and analyze user queries while collaborating with engineers.
Summary Generated by Built In
Job Description:

Summer 2026 Internship – Backend Search Engineering Intern
Application Deadline: March 31
We encourage you to submit your application as early as possible, as internship applications are reviewed on a rolling basis.
Internship Dates: June 8, 2026 – August 14, 2026
(You must be available to work during this period.)
The internship is finalized through a tripartite agreement between the selected student, their university and Dow Jones. We recommend that you check with your university that you are eligible to complete this internship as a part of your degree/program before application.
About the Role:
We are looking for a curious and driven person to join our team as a Backend Search Engineering Intern. As a member of the Dow Jones Development team, you will contribute to building and enhancing our backend search capabilities, focusing on cutting-edge technologies like semantic and lexical search, Retrieval Augmented Generation (RAG) based summarization, prompt engineering and MCP integrations. You'll work on improving how our users discover and understand critical information. This role provides a unique opportunity to gain practical experience in applying advanced search and NLP techniques to real-world challenges. You will collaborate with experienced engineers, learn about our technology stack, and make meaningful contributions to a platform serving millions of users. Be part of a culture that fosters innovation and allows unique perspectives to thrive.
You Will:
* Collaborate with engineers to design, develop, and optimize backend search components and APIs.
* Implement and evaluate different semantic and lexical search algorithms to improve search relevance and accuracy.
* Contribute to the development of RAG-based summarization systems to provide concise and informative summaries of search results.
* Experiment with prompt engineering techniques to fine-tune large language models (LLMs) for search-related tasks.
* Analyze search query logs and user behavior to identify areas for improvement and optimization.
* Participate in code reviews, testing, and debugging to ensure high-quality deliverables.
* Learn about new technologies in search, NLP, and machine learning, and be able to present potential applications to the team.
* Contribute to improving code development standards for our backend search applications and services.
* Be able to prioritize and manage work, adhering to project timelines in a fast-paced and highly collaborative environment
You Have:
* Completed at least two years towards your Bachelor’s degree in Computer Science, Software Engineering, or a related field.
* Familiarity with Java and Python and experience with relevant java frameworks (spring boot, jUnit, google Guava) and python libraries (NumPy, Pandas, or Scikit-learn)
* Basic understanding of search algorithms and information retrieval principles.
* Exposure to Natural Language Processing (NLP) concepts, such as tokenization, stemming, and word embeddings.
* Familiarity with version control systems (e.g., Git) and collaborative development workflows.
* Excellent written and verbal communication skills.
* Proactive attitude and willingness to learn and contribute to a fast-paced environment.
* Ability to quickly learn and adapt to new technologies and tools.
* Exposure to cloud platforms (e.g., AWS, Google Cloud, Azure), containerization (e.g., Docker), and large language models is a plus.
* Experience with vector databases (e.g. Pinecone, Milvus) is a plus

Equal Opportunity Employer

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status or any other protected characteristic. We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups.

Reasonable Accommodation

We are committed to providing reasonable accommodation for qualified individuals with disabilities in our job application and/or interview process. If you need assistance or accommodation in completing your application or participating in an interview due to a disability, email us at [email protected]. Please put "Reasonable Accommodation" in the subject line and provide a brief description of the type of assistance you need. This inbox will not be monitored for application status updates.

Please refer to the privacy notice at the bottom of this page for submitting any data access, deletion, or other data subject rights requests, where permitted under your local laws and regulations.

Business Area:

Dow Jones - Technology

Job Category:

Administration, Facilities & Secretarial

Union Status:

Non-Union role

Top Skills

AWS
Azure
Docker
GCP
Google Guava
Java
Junit
Milvus
Numpy
Pandas
Pinecone
Python
Scikit-Learn
Spring Boot
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The Company
HQ: New York, NY
4,898 Employees
Year Founded: 1882

What We Do

When you join Dow Jones, you become part of the most dynamic, creative and savvy news and information companies in the world. As a global leader in news and business intelligence, we're newswires, websites, newspapers, apps, newsletters, databases, magazines, and video --including some of the widest-read and most-respected brands, like The Wall Street Journal, Factiva, Barron’s, MarketWatch, Financial News, DJX, Dow Jones Risk & Compliance, Dow Jones Newswires, and Dow Jones VentureSource. Our products inform the discussions and decisions that are vital to the world's commerce, while our databases make the business world more transparent. We continually develop technology to transform information into insight and prosperity. We enlighten and inspire audiences around the globe with authoritative, differentiated and trusted content.

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