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Research Intern Jobs in Edison, NJ (NOW HIRING)

Modal, Inc

ML Research Intern

New York, NY · On-site

We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our ...

Sleeper

User Research Intern

New York, NY · On-site

$20 - $32/hr

Support research projects and help synthesize findings for the team * Monitor users' app engagement metrics using internal dashboards * Conduct benchmarking and ongoing monitoring of our competitors ...

Point72

Quantitative Research Intern

New York, NY · On-site

This is an opportunity for students and researchers of advanced data modeling and statistical learning methods to apply these techniques to market prediction and systematic trading. JOB ...

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All JobsResearch Intern JobsResearch Intern Jobs in Edison, NJ

Research Intern information

See Edison, NJ salary details

$2.2K

$6.7K

$8.1K

How much do research intern jobs pay per month?

As of Sep 5, 2026, the average monthly pay for research intern in Edison, NJ is $6,666.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,575.00 and $7,933.33 per month, depending on experience, location, and employer.

What is a research intern?

Research interns are individuals, often students or recent graduates, who work temporarily in a research setting to gain practical experience and contribute to ongoing projects. They assist with tasks such as data collection, analysis, literature reviews, and sometimes experimental work under the supervision of experienced researchers. Research internships are valuable opportunities for interns to develop relevant skills, broaden their academic or professional networks, and explore potential career paths in research or academia.

What are the key skills and qualifications needed to thrive as a research intern?

To thrive as a Research Intern, you need strong analytical abilities, attention to detail, and foundational knowledge in your field of study, often supported by enrollment in a relevant degree program. Familiarity with data analysis software (such as SPSS, R, or Excel), literature databases, and sometimes laboratory equipment or programming languages is typically required. Effective communication, curiosity, and time management are vital soft skills that help interns collaborate and contribute meaningfully to research projects. These competencies are important for producing accurate findings, supporting team objectives, and gaining valuable hands-on experience in research environments.

What are some typical challenges a research intern might encounter when starting out, and how can they be addressed?

Research Interns often face challenges such as adapting to new research methodologies, managing multiple tasks with tight deadlines, and learning to navigate academic or corporate research environments. To address these, it's helpful to proactively communicate with your supervisor for clear expectations, seek mentorship from experienced team members, and utilize organizational tools to track assignments. Embracing a collaborative mindset and asking questions early on can also ease the transition and foster professional growth.

What is the difference between Research Intern vs Research Assistant?

AspectResearch InternResearch Assistant
Required CredentialsTypically students or recent graduates; some internships may require coursework in the fieldOften students or early-career professionals; may require some relevant coursework or experience
Work EnvironmentTemporary, project-based; often in academic, government, or corporate settingsMore consistent, ongoing support roles in labs or research teams
Employer & Industry UsageCommon in universities, research institutes, and corporate R&D departmentsPrimarily in academic labs, research institutions, and industry R&D teams

Research Interns typically are students or recent graduates gaining initial experience through temporary roles, while Research Assistants are more involved in ongoing research projects, often with some prior coursework or experience. Both roles support research activities but differ mainly in duration and level of responsibility.

More about Research Intern jobs

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Research Intern jobs near you
Infographic showing various Research Intern job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $79,998 per year, or $38.5 per hour.

ML Research Intern

Modal, Inc

New York, NY • On-site

Full-time

Re-posted 7 days ago

Job description

About Us:
AI needs a new infrastructure layer. We're building it at Modal.
Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now.
Our customers include category-defining companies like Lovable, Ramp, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale.
We recently raised a $355M Series C at a $4.65B valuation, led by General Catalyst and Redpoint Ventures. We've crossed $300M+ ARR and grown fivefold since September.
Our team includes creators of popular open-source projects (e.g.,Seaborn,Luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience.
The Role:
We are looking for PhD research interns with strong research experience in reinforcement learning, machine learning, and foundation models, including large language and multimodal models, to join our research team. This internship is well suited to candidates interested in improving existing methods and developing new techniques for large-scale model training, optimization, and inference, extending models to long-context and long-horizon tasks, and improving inference-time efficiency, reliability, and robustness in high-stakes real-world deployments.
Preferred Qualifications:
  1. Currently pursuing a PhD in computer science, machine learning, or a related field.
  2. A demonstrated record of research in reinforcement learning, machine learning, foundation models, or related areas.
  3. Experience developing and evaluating large-scale models or machine learning systems.
  4. Familiarity with distributed training, large-scale inference, or multi-GPU environments.
  5. Publications at leading venues such as NeurIPS, ICML, ICLR, CVPR, CoRL, UAI, JMLR, or TMLR.
  6. Strong programming and engineering skills, with the ability to translate research ideas into working implementations.
  7. A collaborative, mission-driven mindset and the ability to work effectively across research and engineering teams.

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