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Computer Science Phd Research Intern Jobs in Newark, NJ

Haize Labs

Research Intern

Manhattan, NY · On-site

$125K - $200K/yr

Research Intern Haize Labs haizes LLMs at scale. We are the robustness layer eliminating the risk ... We are turning down our Stanford PhD offers to send it on Haize Labs, have gotten into Y Combinator ...

Point72

Quantitative Research Intern

New York, NY · On-site

This is an opportunity for students and researchers of advanced data modeling and statistical ... MS, or PhD candidates in finance, computer science, mathematics, physics, or other quantitative ...

Mercor

ML Research Scientist - PhD

New York, NY · Remote

$110 - $145/hr

ML Research PhD Experts (ICML / NeurIPS / ICLR Publications) Type: Contract Compensation: $110-$145 ... PhD in Machine Learning , Computer Science , AI , or a closely related field. * Published at least ...

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

As of Aug 14, 2026, the average monthly pay for computer science phd research intern in Newark, NJ is $6,733.92, according to ZipRecruiter salary data. Most workers in this role earn between $4,616.67 and $8,016.67 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a computer science PhD research intern, and why are they important?

To thrive as a Computer Science PhD Research Intern, you need advanced knowledge in computer science fundamentals, research methodology, and typically be enrolled in a relevant PhD program. Experience with programming languages (such as Python, C++, or Java), data analysis tools, and version control systems like Git is often required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns collaborate and present complex ideas clearly. These skills are essential for contributing to innovative research projects, publishing findings, and succeeding in a competitive academic or industry research environment.

What does a computer science PhD research intern do?

A Computer Science PhD Research Intern typically contributes to cutting-edge research projects under the guidance of experienced mentors, often in an academic or industry setting. Responsibilities may include designing experiments, developing algorithms, conducting data analysis, and publishing findings in conferences or journals. The role is designed to provide practical research experience, sharpen technical skills, and foster collaboration with other researchers. Interns often have the opportunity to work on real-world problems and gain insights into the research and development process within the field of computer science.

What types of projects and collaborations can a computer science PhD research intern typically expect during their internship?

As a Computer Science PhD Research Intern, you will often work on advanced research projects that align with your academic interests and the organization's strategic goals. Interns typically collaborate closely with senior researchers, engineers, and sometimes cross-functional teams such as product or data science groups. Projects may involve designing experiments, developing prototypes, or publishing findings in academic venues. The environment is usually supportive of exploration and peer feedback, and you’ll have opportunities to present your work, gain mentorship, and contribute to impactful, real-world applications.

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Computer Science Phd Research Intern jobs near you
Infographic showing various Computer Science Phd Research Intern job openings in Newark, NJ as of June 2026, with employment types broken down into 61% Full Time, 35% Part Time, and 4% Nights. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $80,807 per year, or $38.8 per hour.

Research Scientist Intern (PhD)

Prior Labs

New York, NY • On-site

Internship

Re-posted 9 days ago

Job description

Who we are
Foundation models transformed text and images. Structured data - the largest and most consequential data format in the world - stayed untouched, until now. What LLMs did for language, we're doing for tables.
We pioneered tabular foundation models: TabPFN v2 was a Nature cover story, has passed 3.5M+ downloads and 7,500+ GitHub stars, and runs in production from detecting lung disease with Oxford Cancer Analytics to preventing train failures with Hitachi. The hardest problems - millions of rows, real-time inference, entirely new modalities - are still open, and no one else is working on them at this level.
We're a small, highly selective team of 40+ with backgrounds from Google, DeepMind, Meta, Apple, Amazon, Jane Street, and CERN, led by Frank Hutter, Noah Hollmann, and Sauraj Gambhir, and advised by Bernhard Schölkopf and Turing Award winner Yann LeCun.
In July 2026, less than 18 months after our €9M pre-seed, we joined SAP as an independent frontier AI lab - same team, mission, and open-weights models, now backed by more than €1 billion over four years.
About the role
You'll join the research team and work hands-on on an entirely new class of AI models. We have more open research problems than people to work on them, so you'll find challenges that match your interests and expertise. Problems we're working on:
  • Scaling our transformer architectures from 10K to 1M+ samples while maintaining performance
  • Building multimodal models that combine text and tabular understanding on proprietary data
  • Developing specialized architectures for time series, forecasting, and anomaly detection
  • Creating efficient inference methods for production deployment
  • Researching causal understanding in foundation models
  • Designing novel approaches for handling multiple related tables
What we're looking for
  • Currently pursuing or holding a PhD in Computer Science, Applied Mathematics, Statistics, Electrical Engineering, or a related field (we will also consider exceptional Master's students)
  • Deep experience with ML frameworks, especially PyTorch and scikit-learn
  • Strong engineering fundamentals with excellent Python expertise
  • Experience in data science and working with tabular data or time series
  • Publications at top-tier venues (NeurIPS, ICML, ICLR) or significant open-source contributions
Benefits
  • Strong mentorship and professional development opportunities
  • Work with state-of-the-art ML architectures, substantial compute resources, and a world-class team
  • Comprehensive benefits including healthcare, transportation, and fitness

Life at Prior Labs
You'll work alongside researchers and builders who hold themselves to a very high bar - in the quality of their work and in how they work with each other. We move fast and still take the time to do things right.
Our teams are based in Berlin, Freiburg, and New York - when you're working on something as hard as TabPFN, being in the same room matters. But great people come from everywhere, and in exceptional cases we're open to remote, which usually means frequent travel to one of our offices. Wherever you're based, the whole company comes together regularly for offsites to build and celebrate together.
Our Commitments
The best products and teams are built by people with a wide range of perspectives and backgrounds. We welcome applications from all identities and walks of life - especially if you've ever felt discouraged by "not checking every box" - and provide equal opportunities regardless of gender, sexual orientation, origin, disability, or any other trait that makes you who you are.
We care about how your data is handled - see our Recruiting Privacy Notice.

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