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Ml Research Intern Jobs (NOW HIRING)

Samaya AI

ML Research Intern

Mountain View, CA

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our ...

Samaya AI

ML Research Intern

Mountain View, CA · On-site

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our ...

Alljoined

Research Intern (Fall)

San Francisco, CA · On-site

$30/hr

About the Role As a Research Intern , you will contribute to building the computational ... Collaborate with computational neuroscientists, ML researchers, and engineers on cutting-edge ...

New York University

Research Intern

New York, NY · On-site

$48K - $62K/mo

... paid Research Intern to work with Prof. Nasir Memon. New York University (NYU) is one of the top ... They should have a strong background in AI/ML, biometric algorithm design and evaluation, and ...

Labelbox

Applied Research Intern

San Francisco, CA · On-site

Role Overview As an Applied Research intern at Labelbox, you will design, build, and productionize ... A track record of publishing in top-tier AI/ML conferences (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP ...

Haize Labs

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 ...

Haize Labs

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 ...

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How much do ml research intern jobs pay per month?

As of Jul 13, 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 are the key skills and qualifications needed to thrive as a 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.

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 ML Research Interns?

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.
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Ml Research Intern jobs near you

ML Research Intern

Samaya AI

Mountain View, CA

Other

Re-posted 17 days ago

Job description

Role

We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our product delivers value to one of the most high-stake environments of AI applications - helping financial professionals make knowledge-informed decisions via key techniques such as RAG, RL and AI agents with advanced tool calling and long-horizon reasoning, etc. The primary focus of this internship is to conduct novel research that advances these fields, with the goal of publishing in top-tier ML and NLP conferences. The intern will collaborate closely with our team of experienced researchers on topics aligned with the company's mission.

This role is ideal for a PhD or advanced Master's student passionate about fundamental research and real-world AI applications. The intern will also have the opportunity to reshape Samaya's key product roadmap using their research.

Responsibilities
  • Conduct original research in the broad areas of LLM training and evaluation, RAG, RL and AI agents, leading to publications in top ML/NLP conferences
  • Develop and experiment with new models, algorithms, and methodologies to improve AI agents performance in real-world tasks
  • Collaborate with in-house researchers to design, implement, and evaluate novel methods in alignment with the company's mission
  • Present findings internally and externally through research papers and technical talks
Qualifications
  • Currently pursuing a PhD or Master's degree in Computer Science, Machine Learning, NLP, or a related field
  • Strong background in deep learning, large language models, and NLP techniques. Deep domain knowledge with RAG, RL and AI agent training and evaluation is a plus
  • A strong track record of first-author publications in top AI/NLP conferences (e.g., NeurIPS, ICML, ACL, EMNLP)
  • Proficiency in Python and deep learning frameworks such as PyTorch or Transformers, and strong coding skills

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