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Computer Science Research Intern Jobs in Flushing, NY

Modal, Inc

ML Research Intern

New York, NY · On-site

Currently pursuing a PhD in computer science, machine learning, or a related field. * A demonstrated record of research in reinforcement learning, machine learning, foundation models, or related ...

Swayable

Research Data Scientist

Manhattan, NY · On-site

... computer science, or a related quantitative field Company : Swayable is a creative testing platform that measures persuasion. Founded in 2017, the company is headquartered in San Francisco, USA, with ...

New York Botanical Garden

Science Intern

New York, NY · On-site

$17/hr

Research areas may include but are not limited to plant diversity, museum curation, molecular ... using a computer, and attending meetings virtually and in person with other people. Interns are ...

The New York Botanical Garden

Science Intern

Bronx, NY · On-site

$17/hr

Research areas may include but are not limited to plant diversity, museum curation, molecular ... using a computer, and attending meetings virtually and in person with other people. Interns are ...

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 ... Hold a degree in HCI, information sciences, stats, data analytics, human-centered design, or a ...

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Computer Science Research Intern information

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$2.2K

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How much do computer science research intern jobs pay per month?

As of Aug 21, 2026, the average monthly pay for computer science research intern in Flushing, NY is $6,718.33, according to ZipRecruiter salary data. Most workers in this role earn between $4,608.33 and $8,000.00 per month, depending on experience, location, and employer.

What does a computer science research intern do?

A Computer Science Research Intern typically assists with research projects in areas like artificial intelligence, data science, software engineering, or cybersecurity. Their responsibilities may include reviewing academic literature, designing and running experiments, analyzing data, and writing reports or research papers. Interns often collaborate with faculty members, graduate students, or research teams to solve real-world problems and contribute to new technological advancements. The experience helps interns gain practical skills, deepen their technical knowledge, and prepare for future careers in academia or industry.

What skills and qualifications are needed to be a computer science research intern?

To thrive as a Computer Science Research Intern, you need a solid understanding of algorithms, data structures, programming languages (such as Python, Java, or C++), and a strong academic background in computer science or related fields. Familiarity with research tools like LaTeX, version control systems (e.g., Git), and experience with data analysis or machine learning frameworks is often required. Strong analytical thinking, curiosity, effective communication, and the ability to collaborate within a research team are highly valued soft skills. These skills and qualities enable interns to contribute meaningfully to research projects, solve challenging problems, and communicate findings clearly.

Which internship is best for a computer science research intern?

The best internship for a computer science research intern typically offers opportunities to work on cutting-edge projects, access to mentorship from experienced researchers, and exposure to relevant tools like programming languages and data analysis software. Prestigious research programs at universities, tech companies, or dedicated research labs are highly valued for gaining practical experience and building a professional network.

What are the most commonly searched types of Computer Science Research jobs in Flushing, NY?

The most popular types of Computer Science Research jobs in Flushing, NY are:

What cities near Flushing, NY are hiring for Computer Science Research Intern jobs?

Cities near Flushing, NY with the most Computer Science Research Intern job openings:

Computer Science Research Intern jobs near you
Infographic showing various Computer Science Research Intern job openings in Flushing, NY as of June 2026, with employment types broken down into 2% As Needed, 79% Full Time, 17% Part Time, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $80,620 per year, or $38.8 per hour.

ML Research Intern

Modal, Inc

New York, NY • On-site

Full-time

Posted 22 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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