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Remote Software Engineer Student Jobs in New Jersey

micro1 AI

Bioinformatics Software Engineer

Paterson, NJ · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

micro1 AI

Bioinformatics Software Engineer

Jersey City, NJ · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

micro1 AI

Bioinformatics Software Engineer

Elizabeth, NJ · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

micro1 AI

Bioinformatics Software Engineer

Newark, NJ · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

You will work closely with data scientists, analysts, and software engineers to ensure data ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

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Remote Software Engineer Student information

What is a remote software engineer student?

A Remote Software Engineer Student is someone who is currently studying software engineering and participates in learning or internship opportunities from a remote location, rather than in-person. These students often take online courses, complete virtual internships, or contribute to remote team projects to gain practical experience in software development. Working remotely allows them to build technical and collaboration skills using digital tools, while balancing academic commitments. This role helps prepare students for future careers in software engineering by providing real-world experience in a flexible setting.

What are the key skills and qualifications needed to thrive as a remote software engineer student, and why are they important?

To thrive as a Remote Software Engineer Student, you need a solid understanding of programming fundamentals, algorithms, and basic computer science, often supported by coursework or self-directed learning. Familiarity with version control systems like Git, code collaboration platforms such as GitHub, and integrated development environments (IDEs) is typically required. Strong self-motivation, effective time management, and clear communication skills are essential for succeeding in a remote learning and collaborative environment. These abilities allow you to learn efficiently, contribute to projects, and navigate the unique challenges of remote work and study.

What are some common challenges faced by remote software engineer students, and how can they be overcome?

Remote software engineer students may encounter challenges such as staying motivated without in-person supervision, managing distractions at home, and effectively communicating with mentors or team members online. To overcome these obstacles, it's helpful to establish a dedicated workspace, set a structured daily routine, and utilize collaboration tools like Slack or Zoom for regular check-ins. Proactively reaching out for feedback and participating in virtual study groups can also boost engagement and learning.

What is the difference between Remote Software Engineer Student vs Remote Software Engineer Intern?

AspectRemote Software Engineer StudentRemote Software Engineer Intern
CredentialsEnrolled in a computer science or related programTypically a student or recent graduate, may have some coursework completed
Work EnvironmentPart-time or project-based, often flexible schedulingPaid or unpaid, structured internship program
Employer UsageUniversities, training programs, or startupsTech companies, startups, or corporate internship programs
Search/Comparison IntentUnderstanding entry-level or educational rolesLooking for internship opportunities to gain experience

Remote Software Engineer Students are typically enrolled in educational programs and seek part-time or project-based roles to gain experience. Interns are usually in structured internship programs, often paid, aimed at providing practical industry experience. Both roles serve as entry points for aspiring software engineers but differ mainly in their formal structure and expectations.

What are the most commonly searched types of Software Engineer Student jobs in New Jersey?

The most popular types of Software Engineer Student jobs in New Jersey are:

What are popular job titles related to Remote Software Engineer Student jobs in New Jersey?

For Remote Software Engineer Student jobs in New Jersey, the most frequently searched job titles are:

What job categories do people searching Remote Software Engineer Student jobs in New Jersey look for?

The top searched job categories for Remote Software Engineer Student jobs in New Jersey are:

What cities in New Jersey are hiring for Remote Software Engineer Student jobs?

Cities in New Jersey with the most Remote Software Engineer Student job openings:

Remote Software Engineer Student jobs near you
Infographic showing various Remote Software Engineer Student job openings in New Jersey as of August 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 100% Remote job distribution.

Sr Machine Learning / AI Engineer - Remote

NAVA Software Solutions

Jersey City, NJ • On-site, Remote

$134K - $176K/yr

Full-time

Re-posted 22 days ago

Job description

NAVA Software solutions is looking for a Senior Machine Learning / AI Engineer
Details:
Senior Machine Learning / AI Engineer
Location: Remote
Duration: 1+ year
About the Project
The team has developed an intelligent search solution that includes mobile integration. The next phase focuses on extending member benefits and provider search capabilities to enable greater self-service, while leveraging AI to support intentional prompting and member decision-making.
The selected candidate will play a key role in enhancing AI-driven features, integrating advanced models, and strengthening the data and deployment pipeline across multiple platforms and channels.
Summary of Duties & Responsibilities
  • Design, develop, and implement AI/ML models and frameworks to enhance member experience and decision-making.
  • Extend intelligent search functionalities with advanced natural language and retrieval capabilities.
  • Build and manage ML pipelines connecting platform, AI, and channel teams (DevOps focus).
  • Implement Retrieval-Augmented Generation (RAG) and work with Large Language Models (LLMs) for conversational and decision-support systems.
  • Apply Model Context Protocols (MCPs) and integrate Knowledge Bases for contextual and dynamic AI responses.
  • Collaborate with cross-functional teams to embed AI-driven insights into digital member experiences.
  • Serve as a liaison between the enterprise AI team and application/DHP teams to ensure smooth integration.
  • Support onboarding, configuration, and integration of new AI components and models.
  • Participate in testing, validation, and continuous improvement of deployed AI models and systems.
  • Collaborate with data engineering teams to ensure AI models are integrated with data pipelines, data lakes, and enterprise systems.

Required Skills & Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 3+ years of experience in Machine Learning, Artificial Intelligence, or related software engineering roles.
  • Proven experience designing and coding AI/ML solutions end-to-end (Python, PyTorch, TensorFlow, etc.).
  • Strong understanding of Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs).
  • Experience implementing or utilizing Model Context Protocols (MCPs).
  • Understanding of Knowledge Base architecture and integration into enterprise applications.
  • Hands-on experience with DevOps practices for ML pipelines and model deployment (CI/CD, containerization, monitoring).
  • Experience deploying AI solutions in cloud environments (Azure or AWS preferred).
  • Familiarity with data storage, ETL processes, and integration with enterprise data systems.
  • Excellent communication and collaboration skills, able to interface between technical and business teams.

Preferred Qualifications
  • Experience in healthcare or member services domains.
  • Familiarity with intelligent search systems, recommendation engines, or conversational AI.
  • Knowledge of data governance, model security, and compliance best practices.
  • Experience working in agile environments (Scrum, Kanban).
  • Exposure to MLOps practices and cloud data pipelines.
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About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

Social media

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