Summer 2025 Internship - Software Engineer Intern

Job Description:

Summer 2025 Internship - Software Engineer Intern
We encourage you to submit your application as soon as you can as internship applications are reviewed on a rolling basis.
Internship Dates: June 9, 2025 - August 15, 2025 (You must be available to work full-time during this period) This role can be based in our Princeton, NJ or midtown NYC office.
About our Organization:
Dow Jones is a global provider of news and business information, delivering content to consumers and organizations around the world across multiple formats, including print, digital, mobile and live events. Dow Jones has produced unrivaled quality content for more than 130 years and today has one of the world’s largest news-gathering operations globally. It is home to leading publications and products including the flagship Wall Street Journal, America’s largest newspaper by paid circulation; Barron’s, MarketWatch, Mansion Global, Financial News, Investor’s Business Daily, Factiva, Dow Jones Risk & Compliance, Dow Jones Newswires, OPIS and Chemical Market Analytics. Dow Jones is a division of News Corp (Nasdaq: NWS, NWSA; ASX: NWS, NWSLV).
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, and prompt engineering. 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 Python and experience with relevant libraries such as 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.

*   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

#LI-Hybrid

Reasonable accommodation: Dow Jones, Making Careers Newsworthy - We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.EEO/AA/M/F/Disabled/Vets. Dow Jones is 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, due to a disability, email us at talentresourceteam@dowjones.com. 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.

Business Area:

Dow Jones - Technology

Job Category:

Administration, Facilities & Secretarial

Union Status:

Non-Union role

Pay Range: $25/hr - $25/hr

We recognize that attracting the best talent is key to our strategy and success as a company. As a result, we aim for flexibility in structuring competitive compensation offers to ensure we are able to attract the best candidates. The quoted salary range represents our good faith estimate as to what our ideal candidates are likely to expect, and we tailor our offers within the range based on the selected candidate's experience, industry knowledge, location, technical and communication skills, and other factors that may prove relevant during the interview process.

Pay-for-performance is a key element in our strategy to attract, engage, and motivate talented people to do their best work. Similarly to salary, for bonus eligible roles, targets are set based on a variety of factors including competitive market practice.

For benefits eligible roles, in addition to cash compensation, the company provides a comprehensive and highly competitive benefits package, with a variety of physical health, retirement and savings, caregiving, emotional wellbeing, transportation, and other benefits, including "elective" benefits employees may select to best fit the needs and personal situations of our diverse workforce..