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Machine Learning Intern Jobs in Plainfield, NJ (NOW HIRING)

GPTZero

Machine Learning Intern

New York, NY · On-site

What we're looking for At GPTZero, we ensure that machine learning models are created for the ... Past intern projects have been the focus of demos to VCs and state-level policy leaders.

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All JobsMachine Learning Intern JobsMachine Learning Intern Jobs in Plainfield, NJ

Machine Learning Intern information

See Plainfield, NJ salary details

$26.2K

$43.7K

$90.3K

How much do machine learning intern jobs pay per year?

As of Jun 28, 2026, the average yearly pay for machine learning intern in Plainfield, NJ is $43,682.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,300.00 and $47,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Machine Learning Intern, you need a solid understanding of statistics, programming (especially Python), and foundational machine learning concepts, typically supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and data analysis libraries, as well as experience with version control systems like Git, is highly valuable. Strong problem-solving skills, curiosity, and effective communication set outstanding candidates apart in this role. These abilities are essential for analyzing data, building models, and collaborating with teams to develop innovative AI solutions.

What does a Machine Learning Intern do?

A Machine Learning Intern assists with developing, testing, and deploying machine learning models under the supervision of experienced data scientists or engineers. Their responsibilities may include data preprocessing, feature engineering, coding algorithms, analyzing results, and assisting with research tasks. Interns often work with programming languages like Python and libraries such as TensorFlow or PyTorch. The internship provides hands-on experience in real-world machine learning projects and helps interns build essential skills for a future career in the field.

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

AspectMachine Learning InternData Science Intern
Required CredentialsTypically pursuing or recent graduate in Computer Science, Data Science, or related fields; knowledge of programming and ML frameworksUsually pursuing or recent graduate in Data Science, Statistics, or related fields; strong analytical and programming skills
Work EnvironmentTech companies, research labs, startups focusing on AI/ML projectsBusiness, finance, healthcare, and tech sectors analyzing data for insights
Employer & Industry UsageUsed in companies developing AI products, research institutions, tech startupsCommon in organizations requiring data analysis, reporting, and decision-making support

While both roles involve working with data and programming, a Machine Learning Intern focuses specifically on developing and implementing machine learning models, whereas a Data Science Intern works more broadly on analyzing data, creating reports, and deriving insights. The roles often overlap, but the Machine Learning Intern role emphasizes algorithm development and model deployment.

What types of projects do Machine Learning Interns typically work on, and how are they supported by the team?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, developing and testing models, or assisting with research for new algorithms. Interns are usually paired with a mentor or work within a small team, receiving guidance during code reviews and regular check-ins. This collaborative environment helps interns gain practical experience, quickly overcome challenges, and integrate feedback, ensuring a steep learning curve and valuable industry exposure.

What Does a Machine Learning Intern Do?

A machine learning intern works in the field of data science. During an internship, you work alongside machine learning engineers who are developing artificial intelligence programs. They do this by writing computer code that allows a software system to run autonomously. Your exact responsibilities depend on the type and level of engineering that the company does. While you likely do not have coding duties, you may help the programmers test or debug their code. You may also work with algorithms and the mathematical aspects of artificial intelligence. A machine learning intern works under the supervision of a lead engineer.

More about Machine Learning Intern jobs
What job categories do people searching Machine Learning Intern jobs in Plainfield, NJ look for? The top searched job categories for Machine Learning Intern jobs in Plainfield, NJ are:
What cities near Plainfield, NJ are hiring for Machine Learning Intern jobs? Cities near Plainfield, NJ with the most Machine Learning Intern job openings:
Machine Learning Intern jobs near you
Infographic showing various Machine Learning Intern job openings in Plainfield, NJ as of June 2026, with employment types broken down into 2% As Needed, 48% Full Time, 44% Part Time, 2% Temporary, 2% Contract, and 2% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $43,682 per year, or $21 per hour.
Machine Learning Intern- Immediate Start

Machine Learning Intern- Immediate Start

Phamily

New York, NY • On-site

$30 - $35/hr

Full-time, Internship

Posted 4 days ago

Job description

Machine Learning Intern (R&D)
Location: New York, NY (Onsite - 3 Days per Week)
Employment Type: Full-Time Internship
Duration: Immediate Start Through End of Summer
Reporting To: Director of AI
Compensation: $30.00-$35.00 per Hour
Overview:
This is a hands-on Machine Learning Research & Development internship supporting the AI team in developing, testing, and optimizing machine learning models and AI-driven solutions. The intern will work closely with the Director of AI and engineering teams on real-world projects involving machine learning, data science, automation, and emerging AI technologies.
About Jaan Health/Phamily
Jaan Health is a leading AI-based care management company serving healthcare providers. For nearly a decade, the company has leveraged its easy-to-use, proprietary technology to enable health systems, medical groups, and ACOs to deliver high-quality, high-ROI proactive care to hundreds of thousands of previously underserved patients.
Phamily, the company's core technology platform, has transformed chronic disease management with clinically tested AI and easy-to-use technology that enables physicians and care teams to offer high-touch, individualized patient care that has been proven to reduce investment in extra labor and the overall cost of care. Phamily helps ensure healthcare providers are compensated fairly for providing high-quality care between office visits, while improving the lives of patients with chronic diseases. Learn more at phamily.com.
Job/Role Description:
Jaan Health is building AI-powered infrastructure to transform healthcare from reactive treatment to proactive care. Our platform, Phamily, helps providers manage chronic conditions at scale-improving patient outcomes while reducing costs.
We are looking for a Machine Learning Intern to work at the intersection of applied research and production systems, helping us advance cutting-edge AI in real-world healthcare environments. This role provides hands-on experience building, evaluating, and improving machine learning systems that directly impact patient outcomes and operational efficiency.
Key Responsibilities:
• Design and prototype novel ML approaches, especially in NLP, LLMs, and transformer architectures for healthcare use cases.
• Conduct applied research through experimentation, evaluation, and model iteration.
• Develop prompting strategies, fine-tuning techniques, and retrieval workflows.
• Translate research findings into scalable production-oriented systems.
• Build evaluation frameworks connecting model performance to healthcare outcomes.
• Collaborate with engineering and product teams to deploy AI-powered features.
• Work with large, real-world healthcare datasets and derive actionable insights.
• Document methodologies, findings, and technical recommendations.
Requirements:
• MS or PhD candidate in Machine Learning, Computer Science, or related field
• Strong background in deep learning, NLP, and/or LLMs
• Hands-on experience with PyTorch / TensorFlow / Hugging Face
• Proven ability to run experiments and derive insights from data
• Solid Python skills and comfort working with real-world, messy datasets
• Interest in bridging research → production impact
Preferred Requirements:
• Experience with conversational AI
• Experience with LLM evaluation, fine-tuning, or retrieval systems
• Exposure to healthcare data or applied ML in regulated domains
Work Style:
We are a fast-growing, early-stage company with a bold mission and significant work ahead; every employee at Jaan Health must embody growth company DNA. This means you have proven success in a high-performing environment: high velocity, strong ownership, comfort with ambiguity, resilience, and a true growth mindset.
You are both a playbook builder and executor, able to design scalable approaches for today while anticipating what the business will need tomorrow, and then follow through to deliver results.
Our culture is built on five principles that shape how we work, lead, and grow:
• Care: We put patients, clients, teammates, and outcomes first.
• Curiosity: We ask better questions, challenge assumptions, and keep learning.
• Clarity: We simplify complexity, communicate directly, and create alignment.
• Co-Creation: We collaborate across teams, perspectives, and disciplines.
• Craftsmanship: We execute with excellence, ownership, and continuous improvement.
What You'll Gain
Through this internship, you will gain:
• Work on high-impact, real-world AI problems in healthcare
• Own projects that go from research ideas → deployed systems
• Collaborate with a fast-moving, product-driven ML team
• Real-world experience in a fast-paced, high-growth environment
• Exposure to executive leaders and cross-functional teams
• Mentorship and professional development support
• Experience solving real business challenges
• Stronger communication, collaboration, and problem-solving skills
• Opportunity to build confidence, ownership, and business acumen
• A collaborative, mission-driven team helping transform healthcare at scale
If you take pride in delivering results, embrace challenges, and proactively seek improvement, then this is the place for you. You'll join a smart, humble, and collaborative team dedicated to improving healthcare.
Equal Employment Opportunity
Phamily is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other legally protected status.

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