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Machine Learning Research Intern Jobs (NOW HIRING)

Causal Labs

Machine Learning - Research

San Francisco, CA · On-site

$241K/yr

Causal Labs is a team of researchers and engineers from self-driving, drug discovery, and robotics ... Strong grasp of machine learning fundamentals, and depth in at least one core domain (e.g. Computer ...

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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 Jun 26, 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, and why are they important?

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.
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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 June 2026, with employment types broken down into 85% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Research Intern (PhD), Machine Learning

Output Biosciences

New York, NY • On-site

Full-time

Medical, Dental, Vision

Posted 20 days ago

Job description

Output has built a biological reasoning model that understands biology at the scale and complexity life actually operates. Our model independently learned the principles of molecular interactions, opening up drug treatments that were previously impossible. We're already generating therapies that traditional approaches cannot reach. The hardest problems in both AI and biology are being solved here, and there is room for you to own one.

Output is currently in stealth, operated by a team of repeat founders and biotech veterans with multiple exits in AI x Bio, and backed by top-tier 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.


The Role

You will own a research project that directly advances Output's research and its path to new therapies. This is not a side project: your work will contribute to the same models and methods the full-time team builds on. We will select a project together based on your research interests and our priorities, with a path to publishing your work at top-tier venues and the opportunity to continue with additional projects throughout the year.


About You

  • You are currently pursuing a PhD in machine learning, computer science, computational biology, physics, mathematics, or a related field

  • You have a strong research track record, demonstrated by publications or submitted work at venues such as NeurIPS, ICML, ICLR, or relevant computational biology conferences

  • You have hands-on experience designing and running ML experiments, including training models and analyzing results

  • You are proficient in Python and PyTorch, and comfortable working with large-scale datasets and GPU infrastructure

  • You can work independently on a research problem: scoping an approach, running experiments, interpreting results, and communicating findings clearly

Bonus Points

  • You have experience applying machine learning to biological, chemical, or molecular data

  • You have a background in computational biology, biophysics, chemistry, or a related natural science

  • You have experience with generative models, representation learning, or self-supervised learning

  • You have contributed to open-source machine learning or computational biology 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