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Machine Learning Remote Internship Jobs in Newark, NJ

Mercor

Machine Learning Engineer

New York, NY · Remote

$70 - $100/hr

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

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All JobsMachine Learning JobsMachine Learning Remote Internship JobsMachine Learning Remote Internship Jobs in Newark, NJ

Machine Learning Remote Internship information

See Newark, NJ salary details

$26.7K

$44.5K

$92K

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

As of Jul 14, 2026, the average yearly pay for machine learning remote internship 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 types of projects can I expect to work on during a Machine Learning Remote Internship?

During a remote machine learning internship, you can expect to contribute to projects such as data preprocessing, model development, and performance evaluation. Interns often work on real-world datasets, applying techniques like regression, classification, clustering, or deep learning, depending on the organization's focus. Collaboration with data scientists, engineers, and other interns is common, typically via virtual meetings and shared code repositories. These projects provide hands-on experience and often culminate in presenting your findings to the team, offering valuable exposure to industry-standard workflows and tools.

What is a Machine Learning Remote Internship?

A Machine Learning Remote Internship is a temporary, structured work experience where interns contribute to machine learning projects from a remote location, such as their home. Interns typically work with teams on tasks like data preprocessing, building models, and evaluating results, while gaining practical knowledge and mentoring. These internships are ideal for students or recent graduates looking to develop their skills in machine learning, programming, and data science without the need to relocate. They often involve working with Python, popular ML libraries, and real-world datasets. Communication and collaboration are maintained through online tools and regular meetings.

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

To thrive as a Machine Learning Remote Intern, you need a solid background in programming (especially Python), mathematics/statistics, and a foundational understanding of machine learning concepts, often gained through coursework or relevant projects. Familiarity with machine learning libraries (like TensorFlow, PyTorch, and scikit-learn), version control systems (such as Git), and cloud platforms is typically expected. Strong problem-solving abilities, self-motivation, and effective remote communication set top interns apart. These skills and qualities enable efficient collaboration, successful project delivery, and continuous learning in a dynamic, distributed work environment.

What is the difference between Machine Learning Remote Internship vs Data Science Intern?

AspectMachine Learning Remote InternshipData Science Intern
Required CredentialsBasic programming, math, and machine learning knowledgeStatistics, programming, and data analysis skills
Work EnvironmentRemote, collaborative teams, project-basedRemote or on-site, data analysis and modeling tasks
Industry UsageTech, AI, startups, research labsTech, finance, healthcare, consulting
Search & Comparison IntentUnderstanding internship roles in MLExploring data science internship opportunities

Machine Learning Remote Internships focus on developing models and algorithms, often requiring knowledge of programming and math. Data Science Internships involve analyzing data, creating reports, and supporting decision-making. While both roles are remote and industry-relevant, ML internships emphasize algorithm development, whereas data science roles focus on data analysis and visualization.

What are popular job titles related to Machine Learning Remote Internship jobs in Newark, NJ? For Machine Learning Remote Internship jobs in Newark, NJ, the most frequently searched job titles are:
What job categories do people searching Machine Learning Remote Internship jobs in Newark, NJ look for? The top searched job categories for Machine Learning Remote Internship jobs in Newark, NJ are:
What cities near Newark, NJ are hiring for Machine Learning Remote Internship jobs? Cities near Newark, NJ with the most Machine Learning Remote Internship job openings:
Machine Learning Remote Internship jobs near you
Infographic showing various Machine Learning Remote Internship job openings in Newark, NJ as of July 2026, with employment types broken down into 11% Internship, 49% Full Time, 16% Part Time, and 24% Contract. Highlights an 100% Remote job distribution, with an average salary of $44,531 per year, or $21.4 per hour.

Sr. Machine Learning Engineer

Canoe Intelligence

Manhattan, NY • On-site, Remote

$180K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 days ago

Job description

COMPANY: Canoe Intelligence

WEBSITE: https://canoeintelligence.com/

TITLE: Sr. Machine Learning Engineer

LOCATION: New York City or London (hybrid) / Fully Remote in the United States or United Kingdom

SALARY: $180,000 - $220,000 (based on NYC, will be adjusted for geo)

The Role:

We are looking for a Senior Machine Learning Engineer to design and deploy models that make sense of highly complex, unstructured financial documents, enabling us to deliver data with unprecedented accuracy, speed, and trust. You’ll work hands-on with LLM and other ML Models, helping scale Canoe’s platform while shaping how alternative investment firms interact with their data.

What You’ll Do:

  • Design, train, and evaluate ML models for document classification, entity extraction, summarization, and information retrieval.

  • Fine-tune and optimize large language models for domain specific use cases, optimizing their performance for accuracy, efficiency, and scalability.

  • Work closely with data engineering teams to preprocess and engineer features from large datasets to enhance the performance of machine learning models.

  • Build scalable, production-ready ML services with strong observability, monitoring, and retraining capabilities.

  • Contribute to Canoe’s MLOps stack, including CI/CD for models, feature stores, evaluation frameworks, and data versioning.

  • Collaborate with product managers, software engineers, and other stakeholders to integrate machine learning models into end-to-end solutions.

  • Stay current with advancements in LLMs, Agentic AI, and ML, and translate new research into practical improvements to Canoe’s technology stack.

  • Conduct code reviews to ensure code quality and provide mentorship to junior members of the machine learning team.

What We’re Looking For:

  • Minimum of 5 years of experience in applied ML engineering, with a focus on NLP, information extraction, or LLMs.

  • Proficiency in Python and relevant machine learning libraries (e.g., TensorFlow, PyTorch).

  • Strong understanding of MLOps (Docker, Kubernetes, CI/CD for ML, experiment tracking).

  • Proficiency with AI-assisted development tools (e.g., GitHub Copilot, Claude Code agent) to accelerate software development, prototyping, testing, and deployment of ML solutions.

  • Problem-solver with a product mindset and bias toward outcomes.

  • Excellent communication skills; able to partner across engineering, product, and business teams.

  • Comfortable in fast-paced, agile startup environments.

  • Bachelor’s degree in computer science or related field.

Preferred

  • Master Degree or PhD in computer science or related field

  • Experience in training and deploying large language models.

  • Familiarity with cloud computing platforms and distributed computing.

  • Familiarity with modern ML Ops tools such as Modal, Weights and Biases, Sagemaker, etc.

  • Experience with LLM fine-tuning techniques such as LoRA, QLoRA, or parameter-efficient training frameworks (e.g., Unsloth).

What You’ll Get:

  • Medical, dental, vision benefits

  • Flexible PTO

  • 401(k)

  • Flexible work from home policy

  • Home office stipend

  • Employee Assistance Program

  • Gym/Wifi reimbursement

  • Education assistance

  • Parental Leave

Our Values:

  • Client First —> Listen, and deliver client-centric solutions

  • Be An Owner —> Take initiative, improve situations, drive positive outcomes

  • Excellence —> Always set the highest standard for yourself and others

  • Win Together —> 1 + 1 = 3

Who We Are:

Canoe is reimagining alternative investment data processes for hundreds of leading institutional investors, capital allocators, asset servicing firms and wealth managers. By combining industry expertise with the most sophisticated data capture technologies, Canoe’s technology automates the highly-frustrating, time-consuming, and costly manual workflows related to alternative investment document and data management, extraction and delivery. With Canoe, clients can refocus capital and human resources on business performance and growth, increase efficiency, and gain deeper access to their data. Canoe’s AI-driven platform was developed in 2013 for Portage Partners LLC, a private investment firm.

Canoe is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.