
Business and financial news company
Summer 2026 Internship – Backend Search Engineer Intern
必备技能
Python
Java
Machine Learning
Job Description:Summer 2026 Internship – Backend Search Engineering Intern
Application Deadline: February 27, 2026
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, j Unit, google Guava) and python libraries (Num Py, Pandas, or Scikit-learn)
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Basic understanding of search algorithms and information retrieval principles.
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Exposure to Natural Language Processing (NLP) concepts, such as tokenization, stemming, and word embeddings.
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Familiarity with version control systems (e.g., Git) and collaborative development workflows.
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Excellent written and verbal communication skills.
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Proactive attitude and willingness to learn and contribute to a fast-paced environment.
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Ability to quickly learn and adapt to new technologies and tools.
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Exposure to cloud platforms (e.g., AWS, Google Cloud, Azure), containerization (e.g., Docker), and large language models is a plus.
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Experience with vector databases (e.g. Pinecone, Milvus) is a plus
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Reasonable accommodation: Dow Jones, Making Careers Newsworthy
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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/Disabled/Vets. We strongly encourage applications from all qualified individuals, including women, people with disabilities, and those from underrepresented groups. 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
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关于Dow Jones

Dow Jones
PublicDow Jones & Company, Inc. is an American publishing firm owned by News Corp, and led by CEO Almar Latour. The company publishes The Wall Street Journal, Barron's, MarketWatch, Mansion Global, Financial News and Private Equity News.
1,001-5,000
员工数
New York
总部位置
评价
10条评价
3.8
10条评价
工作生活平衡
2.5
薪酬
3.2
企业文化
4.1
职业发展
3.4
管理层
3.3
65%
推荐率
优点
Great team culture and supportive colleagues
Good learning and advancement opportunities
Excellent health benefits and retirement plans
缺点
Heavy workload and demanding work hours
Frequent overtime expectations
Fast-paced and stressful environment
薪资范围
33个数据点
Mid/L4
Mid/L4 · Senior Data Analyst
2份报告
$103,500
年薪总额
基本工资
$90,000
股票
-
奖金
-
$103,500
$103,500
面试评价
1条评价
难度
3.0
/ 5
时长
14-28周
面试流程
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Offer
常见问题
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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