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Machine Learning Research Intern Jobs (NOW HIRING)

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 ... You'll work at the intersection of neuroscience and machine learning, developing and optimizing ...

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 ...

Optiver

Machine Learning Research Engineer

New York, NY · On-site

$200K/yr

Optiver is a seeking a Machine Learning Research Engineer to join our team, focusing on a pivotal AI initiative. This role would offer the opportunity to have significant impact across Machine ...

Roboflow

Machine Learning Research Engineer

The Machine Learning Research Engineer will develop novel methods and contribute to the research agenda, helping to translate innovative research into production systems that effectively address user ...

Roboflow

Machine Learning Research Engineer

The Machine Learning Research Engineer will develop novel methods and contribute to the research agenda, helping to translate innovative research into production systems that effectively address user ...

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 ...

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 ...

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 ...

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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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 Aug 6, 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?

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:
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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, 72% Full Time, 24% Part Time, 1% Temporary, and 2% 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.

Research Intern (Fall)

Alljoined

San Francisco, CA • On-site

$30/hr

Full-time

Re-posted 16 days ago

Job description

About Alljoined
Alljoined aims to solve the communication bottleneck between humans and technology by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets collected on affordable hardware to decode stimuli like images, and eventually emotion, intent, train of thought and more. Targeting business applications first, we will eventually create a general consumer interface for productivity, entertainment and AI applications.
We are actively growing our world-class team of researchers to build the most performant and accessible interface to greatly improve the quality of individual lives as well as the well-being of society as a whole.
About the Role
As a Research Intern, you will contribute to building the computational infrastructure that powers our breakthrough brain-computer interface research. You'll work at the intersection of neuroscience and machine learning, developing and optimizing pipelines that process massive EEG datasets and implementing cutting-edge deep learning experiments. This role offers hands-on experience with state-of-the-art neural decoding technology while working alongside world-class researchers pushing the boundaries of what's possible in brain-computer interfaces.
About You
  • Currently pursuing or recently completed a degree in Computer Science, Software Engineering, or related field
  • Strong programming skills in Python with ability to quickly learn new frameworks
  • Solid understanding of algorithms and data structures
  • Problem-solving mindset with attention to detail in experimental work
  • Ability to work collaboratively in a fast-paced research environment
  • Enthusiasm for learning about neuroscience and brain-computer interfaces

Responsibilities
  • Implement and run computational experiments using PyTorch, adapting existing models or developing new ones as research requires
  • Develop performant, distributed pipelines and algorithms for EEG data processing and analysis
  • Perform rigorous quality checks and preprocessing to ensure data integrity
  • Experiment with different parameters to optimize EEG data collection and analysis conditions
  • Collaborate with computational neuroscientists, ML researchers, and engineers on cutting-edge research projects
  • Maintain thorough documentation of experiments, procedures, and results

Required Skills
  • Programming Proficiency: Strong Python skills with ability to implement algorithms and quickly learn ML techniques in PyTorch
  • Computer Science Fundamentals: Solid grasp of CS principles, algorithmic thinking, and problem-solving
  • Full-Stack Familiarity: Experience with web development (React, SQL) is a plus but not required

Nice to Have
  • Experience with deep learning frameworks and techniques
  • Knowledge of signal processing for data preprocessing and analysis
  • Familiarity with EEG or other neuroimaging modalities
  • Previous research or project experience in experimental design

Compensation & Benefits
  • $30/hour USD
  • Corporate housing provided
  • Potential for full-time conversion based on performance

Apply