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Computer Science Entry Level Remote Jobs in New Jersey

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Computer Science Entry Level Remote information

What are the key skills and qualifications needed to thrive in the Computer Science Entry Level Remote position, and why are they important?

To thrive as a Computer Science Entry Level Remote professional, you need a solid understanding of programming languages (such as Python or Java), data structures, algorithms, and a relevant bachelor's degree or equivalent coursework. Familiarity with version control systems (like Git), collaborative coding platforms, and project management tools is typically required. Strong organizational skills, proactive communication, and the ability to work independently are crucial soft skills for remote work. These abilities ensure you can deliver quality technical solutions, collaborate effectively with distributed teams, and adapt to the unique demands of a remote environment.

What is a Computer Science Entry Level Remote job?

A Computer Science Entry Level Remote job is a position for recent graduates or individuals with minimal experience in computer science, allowing them to work from home or another remote location. These roles often involve software development, data analysis, IT support, or QA testing. Employers typically seek candidates with programming knowledge, problem-solving skills, and familiarity with technologies like Python, Java, or SQL. Remote work requires strong communication and self-discipline to collaborate effectively with teams.

What are some typical challenges faced by entry-level computer science professionals working remotely?

Entry-level computer science professionals working remotely often face challenges such as managing time effectively without direct supervision, staying motivated, and overcoming feelings of isolation. Communication can also be more complex, as remote teams rely heavily on written channels and scheduled meetings to collaborate. However, most companies provide onboarding support, mentoring programs, and regular check-ins to help new hires integrate smoothly. Developing strong self-discipline and proactively reaching out to coworkers can significantly ease the transition and contribute to long-term success in a remote role.

What are the most commonly searched types of Computer Science Remote jobs in New Jersey? The most popular types of Computer Science Remote jobs in New Jersey are:
What are popular job titles related to Computer Science Entry Level Remote jobs in New Jersey? For Computer Science Entry Level Remote jobs in New Jersey, the most frequently searched job titles are:
What job categories do people searching Computer Science Entry Level Remote jobs in New Jersey look for? The top searched job categories for Computer Science Entry Level Remote jobs in New Jersey are:
What cities in New Jersey are hiring for Computer Science Entry Level Remote jobs? Cities in New Jersey with the most Computer Science Entry Level Remote job openings:
Computer Science Entry Level Remote jobs near you
Infographic showing various Computer Science Entry Level Remote job openings in New Jersey as of June 2026, with employment types broken down into 6% Internship, 69% Full Time, 13% Part Time, 6% Temporary, and 6% Contract. Highlights an 100% Remote job distribution.

Remote Machine Learning Engineer

Angenex

Jersey City, NJ • Remote

Other

Posted 27 days ago

Job description

Remote Machine Learning Engineer

Jersey City, NJ, United States

About the Job

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and commercial analytics.

Responsibilities

- Build and deploy the ML pipelines that power the company machine learning platform.

- Manage MLOps infrastructure to monitor and optimize models.

Qualifications

Experience:

1+ years of professional experience as a Machine Learning Engineer or production-focused Data Scientist.

Proficiency across topics in machine learning and statistics.

Fluency in Python coding as well as data manipulation (SQL, Spark, Pandas)

Broad familiarity with the Python ecosystem and common libraries including Scikit-Learn, XGBoost, PyTorch, Keras, Tensorflow, Pandas, and common ML cloud services.

Familiarity with CNNs, RNN, LSTMs, and the latest research trends.

Experience implementing, deploying, and maintaining production machine learning systems.

Experience monitoring and optimizing model performance.

Experience with Linux, Docker and AWS, and basic development operations.

Advanced degree in computer science, mathematics, statistics or related area of study strongly preferred.

Apply