Entry Level Machine Learning Intern Jobs
New grad machine learning intern jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or hands-on internship work often carries more weight than a long resume. Most openings mix on-site, remote, and hybrid settings across Technology & Software, Science & Research, and Social Media, with TikTok, PlusAI, and ByteDance hiring at this level now.
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Showing 5 of 46+ Entry Level Machine Learning Intern jobs
About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description: The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents. In this role, you’ll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI).
Job Description and Responsibilities: We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals. You’ll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces.
Required Qualifications:
- Evidence in delivering high-impact projects either in academia or industry
- Prior experience designing and building Machine Learning models
- Deep understanding of machine learning concepts and fundamentals
- Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders
- Excellent communication and collaboration skills
- Strong coding skills, with a focus on clean, efficient, and scalable code development
Preferred Qualifications:
- Experience working with time series or unstructured data
Expected Compensation: The anticipated hourly rate for this position is listed below.
California Hourly Rate: $35/Hr USD
What We Offer: Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) Temporary Employees & Interns excluded
- 401(k) plan Interns initially excluded until they work 1,000 hours
- Parental leave Temporary Employees & Interns excluded
- Flexible time off Temporary Employees & Interns excluded
About Neuralink: We are creating devices that enable a bi-directional interface with the brain. These devices allow us to restore movement to the paralyzed, restore sight to the blind, and revolutionize how humans interact with their digital world.
Team Description: The Brain Computer Interface (BCI) Applications Team is responsible for delivering a product that gives people with paralysis the ability to control computers, phones, gaming consoles, and robotic arms with their minds at the same speed and functionality level as able-bodied people can. Furthermore, the team is focused on restoring speech for mute individuals and enabling direct, natural silent communication with AI agents. In this role, you’ll work with neuroscientists, physicians, software engineers, and electrical engineers to develop the next-generation human-ready Brain-Computer Interface (BCI).
Job Description and Responsibilities: We are hiring a Machine Learning Engineer Intern to develop novel neural decoders to increase control speed and accuracy, improve reliability, and expand functionality of BCIs. You will play a critical role in developing machine learning solutions and driving the successful execution of projects to achieve mission critical goals. You’ll work with cross-functional teams to design new BCI functionalities and novel computer user interfaces.
Required Qualifications:
- Evidence in delivering high-impact projects either in academia or industry
- Prior experience designing and building Machine Learning models
- Deep understanding of machine learning concepts and fundamentals
- Experience in analyzing complex datasets, driving insights, and communicating results in a simple and clear way to both technical and non-technical stakeholders
- Excellent communication and collaboration skills
- Strong coding skills, with a focus on clean, efficient, and scalable code development
Preferred Qualifications:
- Experience working with time series or unstructured data
Expected Compensation: The anticipated hourly rate for this position is listed below.
California Hourly Rate: $35/Hr USD
What We Offer: Full-time employees are eligible for the following benefits listed below.
- An opportunity to change the world and work with some of the smartest and most talented experts from different fields
- Growth potential; we rapidly advance team members who have an outsized impact
- Excellent medical, dental, and vision insurance through a PPO plan
- Paid holidays
- Commuter benefits
- Meals provided
- Equity (RSUs) Temporary Employees & Interns excluded
- 401(k) plan Interns initially excluded until they work 1,000 hours
- Parental leave Temporary Employees & Interns excluded
- Flexible time off Temporary Employees & Interns excluded
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Find JobsEntry Level Machine Learning Intern Job Market
Who's Hiring
- TikTok31
- PlusAI5
- ByteDance2
- NEURALINK2
- Adobe1
Top Industries Hiring
- Technology & Software39
- Science & Research3
- Social Media2
- Media & Entertainment2
- Healthcare & Medical Services1
Entry Level Machine Learning Intern Jobs: Frequently Asked Questions
How do I get an entry level machine learning intern job?
Entry level machine learning intern roles look for candidates who can demonstrate applied skills, not just coursework. Build a portfolio with personal or academic projects that show you can clean data, train models, and interpret results. Familiarity with Python, scikit-learn, or PyTorch gives you a practical edge, and contributing to an open-source project or completing a Kaggle competition signals genuine initiative to hiring managers.
Which companies hire entry level machine learning interns?
Companies hiring entry level machine learning interns right now include TikTok, PlusAI, and ByteDance, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a wide range of employers, including technology startups, established enterprise software firms, and research-driven organizations that run structured internship programs designed specifically for candidates early in their careers.
Are there remote entry level machine learning intern jobs?
Yes, though availability varies by employer and project type. About 5% of entry level machine learning intern openings are remote or hybrid as of July 2026, giving candidates flexibility to work with teams outside their local area. Some fully remote roles require access to cloud computing resources, so a reliable setup and comfort with distributed collaboration tools are worth highlighting in your application.
Are these new grad machine learning intern jobs?
Yes, these listings include new grad, recent graduate, and junior roles. A posting is new-grad friendly when it welcomes candidates with zero to two years of experience, accepts internship or academic project work in place of full-time history, or explicitly invites applicants who demonstrate skill through a portfolio rather than a long employment record. Searching for new grad or junior machine learning intern positions surfaces this tier of openings directly.
Which industries hire the most entry level machine learning interns?
Entry Level machine learning intern roles concentrate in Technology & Software, Science & Research, and Social Media, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they generate large volumes of structured and unstructured data, rely on predictive modeling for core business decisions, and maintain active internship pipelines that convert strong performers into full-time junior hires.