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Machine Learning Research Intern Jobs (NOW HIRING)

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 ...

The Research Intern will assist in conducting research, develop novel methods, compare ... Clarity in Machine Learning basics, and proficiency in re-purposing pre-trained encoders. * Passion ...

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The research intern will be in a fast-paced start-up environment playing a crucial technical role ...

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... The research intern will be in a fast-paced start-up environment playing a crucial technical role ...

About the Role As a Research Intern , you will contribute to building the computational ... You'll work at the intersection of neuroscience and machine learning, developing and optimizing ...

We have an opening for Machine Learning Research experts to join our team and advance the discipline as well as apply cutting edge tools and techniques to some of society's most important problems.

We have an opening for Machine Learning Research experts to join our team and advance the discipline as well as apply cutting edge tools and techniques to some of society's most important problems.

We have an opening for Machine Learning Research experts to join our team and advance the discipline as well as apply cutting edge tools and techniques to some of society's most important problems.

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 ...

Role Overview As an Applied Research intern at Labelbox, you will design, build, and productionize ... A strong foundation in AI and machine learning, backed by a Ph.D. or Master's degree in Computer ...

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Machine Learning Research Intern information

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$25.5K

$42.6K

$88K

How much do machine learning research intern jobs pay per year?

As of Jul 17, 2026, the average yearly pay for machine learning research intern in the United States is $42,584.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Research Intern, and why are they important?

To thrive as a Machine Learning Research Intern, you need a strong foundation in mathematics, statistics, programming (especially Python), and an understanding of machine learning algorithms, typically supported by ongoing or completed studies in computer science or related fields. Familiarity with technical tools such as TensorFlow, PyTorch, scikit-learn, and experience with data analysis libraries are commonly required. Curiosity, problem-solving ability, and effective communication skills help interns stand out by enabling them to collaborate, share insights, and adapt to new research challenges. These skills ensure interns can contribute meaningfully to research projects, quickly learn new techniques, and effectively communicate their findings.

What are some typical challenges faced by Machine Learning Research Interns during their projects?

Machine Learning Research Interns often encounter challenges such as dealing with limited or messy datasets, tuning complex model architectures, and balancing innovative research with practical implementation. Additionally, they may need to quickly familiarize themselves with unfamiliar frameworks or tools and effectively communicate technical findings to both technical and non-technical team members. Successfully navigating these challenges can provide valuable learning experiences and help interns build strong problem-solving skills for future roles.

What does a Machine Learning Research Intern do?

A Machine Learning Research Intern assists in the development, implementation, and evaluation of machine learning models and algorithms under the supervision of experienced researchers. They often preprocess data, run experiments, analyze results, and contribute to research papers or technical reports. Interns also stay up to date with the latest advancements in machine learning, participate in team meetings, and sometimes help in coding or optimizing existing models. This role provides hands-on experience in applying theoretical knowledge to real-world problems and prepares interns for careers in AI research or development.
More about Machine Learning Research Intern jobs
What cities are hiring for Machine Learning Research Intern jobs? Cities with the most Machine Learning Research Intern job openings:
What states have the most Machine Learning Research Intern jobs? States with the most job openings for Machine Learning Research Intern jobs include:

ML Research Intern

Samaya AI

Mountain View, CA

Other

Re-posted 21 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