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Machine Learning Intern Remote Jobs in Newark, NJ

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams to ... experience in Machine Learning , Data Science , Software Engineering , Computer Science ...

This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ... A foundational and practical understanding of machine learning principles and the critical steps ...

This position will be in Brooklyn, NY or for remote candidates based in the United States. Etsy is ... A foundational and practical understanding of machine learning principles and the critical steps ...

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Machine Learning Intern Remote information

See Newark, NJ salary details

$26.7K

$44.5K

$92K

How much do machine learning intern remote jobs pay per year?

As of Jul 15, 2026, the average yearly pay for machine learning intern remote in Newark, NJ is $44,531.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $48,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Intern (Remote), and why are they important?

To thrive as a Machine Learning Intern (Remote), a solid understanding of programming (especially Python), statistics, and foundational machine learning concepts—often supported by coursework or a relevant degree—is essential. Familiarity with tools like TensorFlow, PyTorch, Jupyter Notebooks, and version control systems (e.g., Git) is typically required, along with experience using data analysis libraries. Strong problem-solving skills, initiative, and clear communication are valuable soft skills for collaborating virtually and adapting to remote work environments. These skills and qualities enable effective contribution to projects, smooth team communication, and successful learning in a dynamic, distributed setting.

What types of projects can I expect to work on as a remote Machine Learning Intern?

As a remote Machine Learning Intern, you can typically expect to contribute to projects such as data preprocessing, building and evaluating machine learning models, and assisting with the deployment of models into production environments. You may also help with tasks like feature engineering, exploratory data analysis, and preparing technical documentation. Collaboration is usually done through virtual meetings and code repositories, and you'll often work closely with data scientists, engineers, and mentors who provide guidance and feedback. This hands-on experience helps you gain exposure to industry-standard tools and workflows, preparing you for more advanced roles in the future.

What does a Machine Learning Intern do when working remotely?

A remote Machine Learning Intern typically assists with data collection, cleaning, and analysis, helps develop and test machine learning models, and collaborates with team members through virtual meetings and code repositories. They may also research new algorithms, document their work, and present findings to their supervisors. The role provides hands-on experience in applying machine learning concepts to real-world problems while working from a remote location.
What are the most commonly searched types of Machine Learning Remote jobs in Newark, NJ? The most popular types of Machine Learning Remote jobs in Newark, NJ are:
What are popular job titles related to Machine Learning Intern Remote jobs in Newark, NJ? For Machine Learning Intern Remote jobs in Newark, NJ, the most frequently searched job titles are:
What cities near Newark, NJ are hiring for Machine Learning Intern Remote jobs? Cities near Newark, NJ with the most Machine Learning Intern Remote job openings:
Machine Learning Scientist, New AI Products and Platforms

Machine Learning Scientist, New AI Products and Platforms

The New York Times

New York, NY • On-site, Remote

Other

Posted 5 days ago


Job description

About the Role, Mission or Department Overview

The New York Times is hiring a Machine Learning Scientist to join the New A.I. Products & Platforms mission. We are a team building the next generation of reader-facing A.I. experiences for one of the world's most trusted news organizations.

You will join a team of ML scientists developing embedding models and retrieval algorithms to power new A.I. experiences across our products. You will design and train embedding models for representation learning and fine-tune language models for custom use cases and content enrichment. Your work will allow teams across the company to build, deploy, and manage applications that use large language models (LLMs) to promote our journalism and our business. You will report to our Director, Machine Learning. This is a hybrid remote/in-office role.

Responsibilities:

  • You will design and train embedding models for representation learning, for example using transformer encoders and Two Tower architectures.

  • You will fine-tune and evaluate language models for custom use cases and content enrichment.

  • You will contribute to shared practices around evaluation, responsible A.I. use, and what "good" is inside an organization where judgment and independence are important

  • You will implement and deploy machine learning and AI research with robustness and reproducibility, with consideration of risks and trade-offs

  • You will adapt or develop ML and AI algorithms in cases when existing techniques are insufficient, while implementing simple approaches

  • You will communicate complex ideas in machine learning and AI while collaborating with all kinds of colleagues in engineering, analytics, product management, marketing, editorial, and executive leadership groups

  • Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

  • PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational discipline

  • 2+ years experience with open source machine learning or statistical analysis tools

  • 2+ years coding experience in Python

  • 2+ years experience in SQL and manipulating large structured or unstructured datasets for analysis

  • 1+ years of experience with deep learning architectures, fine-tuning, embeddings and Pytorch or Tensorflow

Preferred Qualifications:

  • 1+ years of experience with information retrieval or search systems

  • 1+ years of experience translating ambiguous business questions into machine learning problems

  • 1+ years of experience building data products, either internal or consumer-facing

  • PhD or Master's research experience in Applied AI

REQ-020337