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Machine Learning Research Intern Jobs (NOW HIRING)

GroupSolver

Machine Learning Research Scientist

They are seeking a Machine Learning Research Scientist to work on developing state-of-the-art NLP models to enhance market research practices. Responsibilities : • Research and development: work ...

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

Machine Learning Researcher

San Francisco, CA · On-site

$140K - $250K/yr

We apply deep learning research to large scale neural datasets to decode internal thought directly ... You will design and implement advanced machine learning models for EEG-based neural decoding ...

Whiterabbit.ai

As a Research Scientist Intern at Whiterabbit.ai, you will: * Play a key role in architecting the ... Learn and understand a large body of research in deep learning and machine learning * Participate ...

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

As of Sep 2, 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 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.

What are the key skills and qualifications needed to thrive as a machine learning research intern?

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.
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Machine Learning Research Intern jobs near you
Infographic showing various Machine Learning Research Intern job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Machine Learning Research Scientist

GroupSolver

Remote

Full-time

Re-posted 11 days ago

Job description

Job Summary:
GroupSolver is a market research tech startup based in San Diego that combines AI and Crowd Intelligence to help researchers find insights from data. They are seeking a Machine Learning Research Scientist to work on developing state-of-the-art NLP models to enhance market research practices.
Responsibilities:
• Research and development: work with and develop state-of-the-art NLP models to improve conventional market research practices.
Qualifications:
Required:
• MS/PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, or a related field.
• 2+ years of hands-on experience in predictive modeling, ML or large data analysis
• Algorithm and model development experience for large-scale applications
• Proficiency in at least one of the following languages: Python, R/Matlab, Java
• Comfortable working with teams in different time zones, (USA, Europe)
• Good communication skills, ability to explain technical concepts to non-technical audiences.
Preferred:
• Strong understanding of Transformer architecture and Attention mechanisms.
• 2 years of experience in NLP
• Familiarity with spaCy, AllenNLP, Gensim, Pytorch, Tensorflow, Deep Learning
• Knows the difference between RNN, CNN, LSTM, GANs.
• Familiar with Meta AI, Deepmind, Google AI, OpenAI and other big players.
Company:
GroupSolver is an online consumer research platform that provides real-time qualitative and quantitative insights. Founded in 2014, the company is headquartered in San Diego, USA, with a team of 11-50 employees. The company is currently Early Stage.

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