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Entry Level Research Assistant Machine Learning Jobs

... Conducting research in the areas of: Robotics, Artificial Intelligence, Machine Learning ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

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 ...

Research Assistant

Boston, MA · On-site

$48K - $66K/yr

About the Opportunity This job seeks a research assistant to work on one or more projects related ... Possible projects topics include: 1) Developing machine-learning based exoskeleton controllers to ...

About the Opportunity This job seeks a research assistant to work on one or more projects related ... Possible projects topics include: 1) Developing machine-learning based exoskeleton controllers to ...

Research Assistant I - ON SITE

Nashville, TN · On-site

$18.50 - $25.50/hr

The Research Assistant will work across the full project lifecycle-from data collection and chart ... Active and anticipated projects include: • Developing and validating machine learning models to ...

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Entry Level Research Assistant Machine Learning information

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How much do entry level research assistant machine learning jobs pay per hour?

As of Jul 2, 2026, the average hourly pay for entry level research assistant machine learning in the United States is $18.05, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.23 per hour, depending on experience, location, and employer.
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What cities are hiring for Entry Level Research Assistant Machine Learning jobs? Cities with the most Entry Level Research Assistant Machine Learning job openings:
What job categories do people searching Entry Level Research Assistant Machine Learning jobs look for? The top searched job categories for Entry Level Research Assistant Machine Learning jobs are:
Infographic showing various Entry Level Research Assistant Machine Learning job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $37,550 per year, or $18.1 per hour.
Research Scientist - Machine Learning

Research Scientist - Machine Learning

ISEE

Remote

Full-time

Posted 28 days ago


Job description

ISEE is seeking full-time Research Scientists to join our team. The ideal candidate has several years of research/work experience.
Role responsibilities include:
- Leading research contributing to the development of humanistic AI for autonomous systems
- Conducting research in the areas of: Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied Mathematics, Probabilistic Modeling and Inference or related areas
- Collaborating with engineering and business teams to develop novel solutions to real-world problems
- Designing experiments and metrics for benchmarking resultsPublishing research in top-tier conferences and journals
Qualifications:
- PhD in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical Engineering, Control Engineering, Machine Learning, Statistics, or a related field
- Passionate about self-driving vehicles and real-world robotics solutions.
- Experience collecting, processing, and analyzing real-world data.
- Strong presentation and communication skills.
Recommended
- Publication record in top-tier conferences in Robotics and related fields.
- Programming experience, ideally with Python and/or C++.
- Robotics experience is a plus.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.