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Internship Machine Learning Intern Jobs (NOW HIRING)

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AI & ML Intern

Addison, TX

Artificial Intelligence & Machine Learning (AI & ML) Intern Position Title: AI & ML Intern ... The internship is designed to provide practical learning opportunities, contribute to active ...

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Internship Machine Learning Intern information

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$25.5K

$42.6K

$88K

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

As of Jun 3, 2026, the average yearly pay for internship machine learning 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 Intern, and why are they important?

To thrive as a Machine Learning Intern, a solid understanding of programming (especially Python), statistics, linear algebra, and foundational machine learning concepts is essential, often supported by ongoing or completed coursework in computer science or related fields. Familiarity with tools and libraries such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, eagerness to learn, and effective communication skills help interns excel in collaborative and fast-paced environments. These skills enable interns to contribute meaningfully to projects, adapt to new challenges, and effectively communicate technical findings.

What types of projects do Machine Learning Interns typically work on, and how much autonomy can I expect?

Machine Learning Interns often contribute to real-world projects such as data preprocessing, building and testing machine learning models, and collaborating on research or product development tasks. While you’ll usually work under the guidance of experienced engineers or researchers, many organizations encourage interns to take ownership of specific project components, propose solutions, and present findings. This balance between mentorship and autonomy helps interns gain practical experience while ensuring support is available when tackling challenging problems.

What are Machine Learning Interns?

Machine Learning Interns are students or early-career professionals who support teams in developing and implementing machine learning models and algorithms. They typically assist with data collection, cleaning, model training, and evaluation under the supervision of experienced engineers or scientists. These internships provide hands-on experience with real-world data science projects, often using programming languages like Python and tools such as TensorFlow or PyTorch. The goal is to help interns build practical skills and contribute to ongoing machine learning initiatives within an organization.

What is the difference between Internship Machine Learning Intern vs Data Science Intern?

AspectInternship Machine Learning InternData Science Intern
Required SkillsBasic programming, machine learning concepts, Python, data analysisData analysis, statistics, programming, visualization
Work EnvironmentTech companies, research labs, startupsTech firms, consulting, finance, healthcare
Industry UsageMachine learning projects, model developmentData analysis, reporting, business insights

Both roles are internship positions in data-related fields, with Machine Learning Intern focusing on developing and applying machine learning models, while Data Science Intern emphasizes data analysis and insights. The roles often overlap but differ mainly in technical focus and project scope.

What cities are hiring for Internship Machine Learning Intern jobs? Cities with the most Internship Machine Learning Intern job openings:
What states have the most Internship Machine Learning Intern jobs? States with the most job openings for Internship Machine Learning Intern jobs include:
Internship Machine Learning Intern jobs near you
Research Intern, Machine Learning

Research Intern, Machine Learning

Output, Inc

New York, NY • On-site

Full-time

Medical, Dental, Vision

Posted 23 days ago

Job description

Research Intern (PhD), Machine Learning
Join our team and help build the world's first biological reasoning model. Work with us to build generative foundational models that decode biological systems across scales - from molecules to organisms - enabling us to predict, understand, and program living systems in ways never before possible.
Output Biosciences is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI and biology, and backed by top VCs including Y Combinator.
Our internships offer flexible commitment, with a minimum of 20 hours per week, ranging 12 to 24 weeks. We have various start dates available to accommodate your academic schedule. There may be opportunities for full-time employment upon successful completion of your PhD.
  • You will contribute to the development of novel machine learning approaches for biological data analysis and interpretation
  • You will design and implement experiments to evaluate and improve AI models using large-scale biological datasets
  • You will collaborate with our interdisciplinary team to tackle complex challenges in molecular biology and drug discovery
  • You will present your research findings and contribute to publications in top-tier conferences and journals
  • You will have the opportunity to work on projects that directly impact the future of medicine and biotechnology

Who We're Looking For
  • You are currently pursuing a PhD in Machine Learning, Computer Science, Computational Biology, or a related field
  • You have a strong background in deep learning, with experience in frameworks such as PyTorch or TensorFlow
  • You have a proven track record of research, demonstrated by publications at conferences such as NeurIPS, ICML, ICLR, or relevant computational biology venues
  • You are proficient in Python and have experience with large-scale data processing and analysis
  • You have excellent problem-solving skills and the ability to work independently on complex research problems
  • You are passionate about applying AI to solve real-world challenges in biology and medicine
  • You have strong communication skills and can effectively present technical concepts to diverse audiences
  • You thrive in a fast-paced, startup environment and are excited about making a significant impact in a growing field
Bonus Points
  • Experience with biological data analysis or computational biology projects
  • Familiarity with generative AI models, such as transformers or diffusion models
  • Contributions to open-source machine learning or bioinformatics projects

Our Values
♥ Heart: We foster a culture of ownership. We are assembling a team of individuals who are passionate and take pride in their contributions.
Excellence: We have an unwavering commitment to excellence and continuously challenge ourselves to reach the highest standards.
Practicality: We value practicality and results-oriented thinking. We are committed to making a tangible impact on the lives of patients and the broader community.
Honesty: We place a high value on honesty and directness. We firmly believe in addressing issues as they arise, in an open and transparent manner.
Fun: We believe that life is too short to not have fun. Our goal is to create a workplace that is fun, engaging, rewarding and fulfilling.
What We Offer
  • We encourage new and different ideas, creativity and contrarian thinking
  • Healthy feedback focused environment to help you strive - leadership will have high expectations, regularly share constructive feedback, support you and help you grow, and welcome receiving feedback and ideas from you
  • You own your day-to-day management. What we care about is that we all hit our milestones
  • Competitive salary and equity in a growing, well-funded startup
  • Excellent medical, dental, and vision coverage

Apply