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Machine Learning Internship No Experience Jobs (NOW HIRING)

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Experience doing research and working with interdisciplinary teams Additional Preferred Experience ...

Nanite Inc.

Machine Learning Engineer

Boston, MA · On-site

Nanite is a disruptive Machine Learning/AI therapeutics company focused on revolutionizing drug ... Experience doing research and working with interdisciplinary teams Additional Preferred Experience ...

Alignerr

Machine Learning Engineer

Richmond, VA · Remote

$50 - $70/hr

Machine Learning Engineer - AI Data Trainer Location: Remote About The Job At Alignerr, we partner ... Masters Degree or PhD Preferred Prior experience with data annotation, data quality, or evaluation ...

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How much do machine learning internship no experience jobs pay per year?

As of Jun 7, 2026, the average yearly pay for machine learning internship no experience 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 with no prior experience, and why are they important?

To thrive as a Machine Learning Intern with no experience, you need a solid understanding of programming (especially Python), basic statistics, and foundational machine learning concepts, often demonstrated through coursework or personal projects. Familiarity with tools like scikit-learn, TensorFlow, Jupyter Notebooks, and version control systems (e.g., Git) is typically expected. Curiosity, eagerness to learn, problem-solving ability, and effective communication are standout soft skills in this position. These skills and qualities are crucial for adapting quickly, contributing to projects, and maximizing growth in a hands-on learning environment.

What is a machine learning internship with no experience?

A machine learning internship with no experience is an entry-level opportunity designed for students or individuals who are new to the field of machine learning and may not have previous professional experience. These internships typically focus on foundational skills such as data preprocessing, understanding basic algorithms, and using popular tools like Python, TensorFlow, or PyTorch. Interns are often provided with mentorship, training, and real-world projects to help them learn and apply machine learning concepts. The goal is to gain practical experience and build a portfolio, which can be helpful for future job opportunities in the field.

What types of projects or tasks are typically assigned to machine learning interns with no prior experience?

Machine learning interns with no prior experience are often assigned to support tasks such as data preprocessing, exploratory data analysis, and helping to clean or organize datasets. They may also assist with implementing, testing, or tuning basic machine learning models under the guidance of experienced team members. Interns are encouraged to participate in team meetings, contribute to code reviews, and learn about the deployment process, giving them valuable exposure to real-world workflows and collaboration within a machine learning team.

What is the difference between Machine Learning Internship No Experience vs Data Science Intern No Experience?

AspectMachine Learning Internship No ExperienceData Science Intern No Experience
Required CredentialsBasic programming skills, introductory knowledge of ML conceptsBasic programming skills, introductory knowledge of data analysis
Work EnvironmentTech companies, startups, research labsTech companies, consulting firms, research organizations
Employer & Industry UsagePrimarily in AI and ML-focused rolesBroader data analysis and business intelligence roles
Search & Comparison IntentUnderstanding entry-level ML roles for beginnersExploring data analysis internships for beginners

Both internships are entry-level roles requiring foundational skills in programming. Machine Learning Internships focus on developing algorithms and models, while Data Science Internships emphasize data analysis and visualization. The choice depends on your interest in AI/ML versus broader data analysis tasks.

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What job categories do people searching Machine Learning Internship No Experience jobs look for? The top searched job categories for Machine Learning Internship No Experience jobs are:
Machine Learning Internship No Experience jobs near you

Research Intern, Machine Learning

Output Biosciences

San Francisco, CA • On-site

Full-time, Internship

Medical, Dental, Vision

This job post has expired 1 day ago. Applications are no longer accepted.

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