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Ml Research Intern Jobs (NOW HIRING)

Research Intern

New York, NY · On-site

$125K - $200K/yr

We are looking for Research Interns to help us to develop fundamental safety tooling for LLMs. Your ... Experience with ML in an applied setting. * Strong open source presence or strong track record of ...

We are looking for Research Interns to help us to develop fundamental safety tooling for LLMs. Your ... Experience with ML in an applied setting. * Strong open source presence or strong track record of ...

The intern will collaborate with AI researchers and engineers to develop agent systems that can ... Publication record in top AI/ML, software engineering, or systems venues. Fujitsu salaries are ...

The intern will collaborate with AI researchers and engineers to develop agent systems that can ... Publication record in top AI/ML, software engineering, or systems venues. Fujitsu salaries are ...

WHAT WE ARE LOOKING FOR We're looking for a motivated AI/ML Engineering Intern (ideally 6 months ... If you're excited about applying machine learning to genuinely open research questions in humanoid ...

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The Machine Learning/Artificial Intelligence (ML/AI) group at Microsoft Research NYC is looking for a Research Intern candidate with a background in language modeling and reinforcement learning, for ...

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Ml Research Intern information

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How much do ml research intern jobs pay per month?

As of Aug 20, 2026, the average monthly pay for ml research intern in the United States is $6,439.50, according to ZipRecruiter salary data. Most workers in this role earn between $4,416.67 and $7,666.67 per month, depending on experience, location, and employer.

What is an ML Research Intern?

ML Research Interns are students or recent graduates who support machine learning (ML) research projects, typically at universities, research labs, or tech companies. Their responsibilities often include programming experiments, analyzing data, implementing algorithms, and assisting senior researchers with ongoing studies. The goal is to gain hands-on experience in machine learning and research methodologies, often contributing to publications or product development. This role is ideal for those interested in pursuing advanced degrees or careers in artificial intelligence and data science.

What types of projects and collaboration can an ML Research Intern expect during their internship?

As an ML Research Intern, you’ll typically work on experimental or early-stage projects under the guidance of experienced researchers and engineers. You can expect to collaborate closely with your mentor, other interns, and sometimes cross-functional teams such as data engineering or product management. Your daily tasks might include literature reviews, data preprocessing, model implementation, and presenting your findings in team meetings. The collaborative environment is designed to help you learn from experts and contribute meaningfully to ongoing research initiatives.

What are the key skills and qualifications needed to thrive as an ML Research Intern, and why are they important?

To thrive as a ML Research Intern, you need a solid background in mathematics, statistics, and programming (usually Python), often supported by coursework or a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, as well as version control systems like Git, is typically required. Strong analytical thinking, curiosity, and clear communication skills help interns collaborate effectively and present research findings. These abilities are crucial for contributing to innovative projects, solving complex problems, and advancing research goals in a fast-evolving field.
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Infographic showing various Ml Research Intern job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 11% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $77,274 per year, or $37.2 per hour.

Research Intern

Haize Labs

New York, NY • On-site

$125K - $200K/yr

Full-time, Internship

Re-posted 10 days ago


Job description

Haize Labs haizes LLMs at scale. We are the robustness layer eliminating the risk of using language models in any setting. To prevent these systems from failing, we preemptively discover all the ways in which they can fail and continuously eliminate them in deployment.
We are looking for Research Interns to help us to develop fundamental safety tooling for LLMs. Your work will not only set the standard both in terms of research, but also in terms of how LLMs are tested, verified, and applied across customers, companies, and industries. You will directly influence how the world responsibly uses LLMs.
Responsibilities
  • Work directly with customers to adapt our core R&D for different domains.
  • Build out core infra, cloud tooling, and UX around our algorithms.
  • Deliver a delightful human-in-the-loop product experience.
  • Ship tools that are used by developers across the world.

Qualifications
  • Experience with ML in an applied setting.
  • Strong open source presence or strong track record of software engineering projects and employment.
  • Can ramp up very quickly on understanding our research.
  • Love to break things, i.e. have a "stick it to the Man" attitude.

Annual Salary
$125,000 - $200,000 USD
Logistics
Location policy: 6 days a week, in person, in NYC.
US visa sponsorship: If you are exceptional, we will sponsor your visa.
We encourage you to apply even if you do not believe you meet every single qualification: We're open to considering a wide range of perspectives and experiences, and would love to chat with you.
Compensation and Benefits: Haize Lab's provides generous salary, equity, and benefits.
What sets us apart
We are not here to write GPT wrappers or get rich quick off the AI bubble. We're here to work on the hardest, most fundamental research problem in AI: making it reliable and robust. Come here to push yourself, learn fast, experience excellence, and kickstart your life's work. We value our team above all else, and firmly believe that greatness begets greatness.
Since starting 6 months ago, we've developed a suite of safety tools that's being used at places like Anthropic, AI21, Scale AI, and several other foundation model providers. We've been fortunate enough to be backed by the founders of Cognition, Hugging Face, Weights and Biases, Nous, Etched, Okta, Replit as well as rockstar AI and security executives from Stripe, Anduril, and Netflix. We're lucky to be advised by professors from CMU and Harvard.
Our founding team has been working together for quite some time. We are turning down our Stanford PhD offers to send it on Haize Labs, have gotten into Y Combinator and other accelerators multiple times (and turned down multiple times), were the first Student Researcher at Allen AI, co-led R&D at a Series A NLP startup, wrote ML-guided matchmaking services for 50,000+ students, built an educational nonprofit supporting 60 countries, and did some other cool things along the way.