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Software Engineer Internship Jobs in Ridgewood, NJ

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Software Engineer

New York, NY · On-site

Strong foundational understanding of computer science principles through coursework, personal projects, internships, or prior work experience * 3+ years of professional software engineering ...

Capital One

Lead Software Engineer

New York, NY · On-site

At least 4 years of professional software engineering experience (Internship experience does not apply) * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud ...

Capital One

Lead Software Engineer

New York, NY

At least 4 years of professional software engineering experience (Internship experience does not apply) * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud ...

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Software Engineer Internship information

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$13

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$39

How much do software engineer internship jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for software engineer internship in Ridgewood, NJ is $25.72, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $29.18 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Software Engineer Internship position, and why are they important?

To thrive as a Software Engineer Intern, you need a solid understanding of programming languages (such as Java, Python, or C++), algorithms, data structures, and typically be pursuing or have a degree in computer science or a related field. Familiarity with version control systems like Git, integrated development environments (IDEs), and sometimes issue tracking tools is often expected. Strong problem-solving abilities, a willingness to learn, and effective communication are key soft skills that help interns excel in collaborative environments. These skills ensure interns can contribute meaningfully to technical projects, integrate well with engineering teams, and grow rapidly within the organization.

What is a Software Engineer Internship job?

A Software Engineer Internship is a temporary position where students or entry-level professionals gain hands-on experience in software development. Interns typically work on real projects, write code, debug issues, and collaborate with engineering teams. The internship helps develop technical skills, knowledge of software development processes, and familiarity with industry tools. It also provides networking opportunities and can lead to full-time job offers.

What kinds of projects or tasks do Software Engineer Interns typically work on during their internship?

Software Engineer Interns are often assigned to real-world projects that may include developing new features, fixing bugs, writing automated tests, or improving documentation. They usually work as part of a development team under the mentorship of experienced engineers, which allows them to participate in code reviews, agile meetings, and collaborative problem-solving sessions. The exact responsibilities may vary, but interns are regularly exposed to the full software development lifecycle and are encouraged to ask questions and contribute ideas. This hands-on experience not only builds technical skills but also prepares interns for full-time roles after graduation.

What are the most commonly searched types of Software Engineer jobs in Ridgewood, NJ? The most popular types of Software Engineer jobs in Ridgewood, NJ are:
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Software Engineer Internship jobs near you
AI Engineer (Internship) - Intelligent Question Bank Platform

AI Engineer (Internship) - Intelligent Question Bank Platform

Accel Learning

Secaucus, NJ

Other

Posted 29 days ago

Job description

Company Description

Accel Learning is a New Jersey-based tutoring and test-prep center serving 3,000+ students across K-12 and beyond. We prepare students for some of the most competitive exams in the country - SAT, ACT, ISEE, BCA, SSAT, HSPT, GRE, GMAT, Regents, NJSLA, OLSAT, SCAT, TerraNova, Praxis, PSEG, Math Olympiad, AMC, MathCounts, and more.
Our Mission: Make rigorous, personalized learning accessible. Today our instructors build question banks manually in WordPress. We're changing that by building an AI-powered question generation engine that creates exam-ready, curriculum-aligned questions at scale.

Job Description

You will architect and implement the core AI pipeline that powers Accel's test creation system.

Work closely with the founder to design and build an AI-powered content generation system from the ground up. You'll contribute to meaningful parts of the product end-to-end from how the system ingests and understands source material, to how it produces and validates outputs, to how instructors interact with and review what the system generates.
On the engineering side, you'll build and iterate on LLM-driven pipelines, work with retrieval and embedding techniques to ground outputs in real source material and develop backend services and APIs that tie everything together.
Beyond pure coding, you'll be expected to think about output quality and building evaluation steps, catching failure modes, and improving the system based on real instructor feedback. You'll research new tools and techniques as the AI space evolves and bring relevant ideas directly into the product.
This is a generalist role at an early-stage product where you'll wear multiple hats, work with ambiguity, and have direct input into how things are built.

PLEASE NOTE THESE QUESTIONS AND REPLY WITH YOUR APPLICATION:

  1. This is an unpaid internship opportunity. Are you still interested in the role?
  2. What interests you most about this internship and this role? (Please share what excites you about contributing and what you hope to gain from the experience.)
  3. Tell us about the most interesting project you've worked on in this domain. What was the project, and what specific contributions did you make? (Include technologies, responsibilities, outcomes, or measurable impact if applicable.)
  4. How many hours per week are you available to commit to this internship?
  5. Are you currently based in the USA?
Qualifications

Strong foundation in software engineering: data structures, APIs, system design
Proficiency in Python (primary language for AI/ML pipeline work)
Experience with REST APIs and at least one database (PostgreSQL preferred)
Ability to work independently, ask sharp questions, and iterate fast
Strong debugging and problem-solving instincts
Demonstrated side projects or shipped code (GitHub portfolio required)
Genuine interest in AI systems and education technology

Direct experience with LLM APIs: OpenAI, Anthropic Claude, or Google Gemini
Hands-on experience with RAG systems: embedding models, vector databases (Pinecone, 
Weaviate, pgvector, Chroma)
Familiarity with prompt engineering techniques: few-shot prompting, chain-of-thought, 
structured JSON outputs
Experience with NLP pipelines: text chunking, tokenization, semantic search
Knowledge of LaTeX syntax and math rendering libraries (MathJax, KaTeX)
Experience with image generation APIs or SVG programmatic generation
Familiarity with AI evaluation frameworks or automated test harnesses for LLM outputs
Cloud platform experience: AWS, GCP, or Vercel for deployment
Experience with job queues: Celery, Bull, or similar
Exposure to educational content standards or psychometrics is a bonus

Additional Information

All your information will be kept confidential according to EEO guidelines.

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