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Ml Intern Jobs (NOW HIRING)

Wealth Inc

Applied Scientist- AI/ML Intern

$45 - $55/hr

Applied Scientist AI/ML Intern Location : Remote/United States About Us Wealth.com is the industry's leading estate planning platform, empowering more than 1,000 wealth management firms to modernize ...

Mayo Clinic

AI/ML Intern - Radiation Oncology

Rochester, MN · On-site

$14.75 - $19/hr

The Intern will interact with vast amounts of clinical and non-clinical data (external data sources, digital, etc.). Interns will learn the data science lifecycle including data acquisition ...

Samaya AI

ML Research Intern

Mountain View, CA

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our ...

Aivra Health LLC

AI/ML Engineer Intern

Austin, TX · On-site

AI/ML Engineer Intern Location: New York, NY, USA (Hybrid/On-site/Remote) Job Type: Internship (Full-Time / Part-Time) Duration: 3-6 Months (Extendable) About the Role We are looking for a motivated ...

Samaya AI

ML Research Intern

Mountain View, CA · On-site

Role We are seeking a highly motivated Machine Learning Research Intern to work on cutting-edge research in the fields of Natural Language Processing (NLP) and Machine Learning (ML). At Samaya, our ...

SkyGig

ML Software Engineer Intern

San Jose, CA

As a ML Software Engineering Intern, you'll work alongside experienced hardware engineers to build and deploy AI/ML models that improve circuits and systems design workflows, and help push new ...

Melotech

AI/ML Engineer Intern

New York, NY · On-site

$18.25 - $23.75/hr

What you will do As our ML Engineer Intern, you'll be the technical backbone powering our content platform. You'll tackle the critical questions: How do we build ML systems that scale to millions of ...

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How much do ml intern jobs pay per hour?

As of Jul 31, 2026, the average hourly pay for ml intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What kinds of projects do ML Interns typically work on, and how can they make the most impact during their internship?

ML Interns often contribute to data preprocessing, model development, and performance evaluation tasks under the guidance of senior data scientists or engineers. Projects may include building prototypes, improving existing algorithms, or supporting data analysis for real-world applications. To make the most impact, interns should proactively seek feedback, document their work clearly, and communicate progress with their team. Engaging in code reviews and collaborating across departments can also help interns gain valuable experience and demonstrate their initiative.

What are ML Interns?

ML Interns, or Machine Learning Interns, are students or recent graduates who assist with machine learning projects within an organization. They typically work under the guidance of experienced data scientists or machine learning engineers to help develop, test, and improve algorithms and models. Their tasks may include data preprocessing, model training, performance evaluation, and documentation. ML Interns gain practical experience and exposure to real-world applications of machine learning, helping bridge the gap between academic learning and industry practice.

What are the key skills and qualifications needed to thrive as an ML Intern, and why are they important?

To thrive as an ML Intern, you need a strong understanding of machine learning fundamentals, programming skills in Python or R, and a background in mathematics or computer science. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is commonly required. Curiosity, problem-solving abilities, and effective communication help you learn quickly and collaborate with experienced team members. These skills enable you to contribute to real-world projects, adapt to evolving technologies, and grow within the field of machine learning.
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Infographic showing various Ml Intern job openings in the United States as of July 2026, with employment types broken down into 12% Internship, 1% As Needed, 50% Full Time, 33% Part Time, 2% Temporary, and 2% Contract. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.

Applied Scientist- AI/ML Intern

Wealth Inc

Remote

$45 - $55/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Title: Applied Scientist AI/ML Intern
Location: Remote/United States
About Us
Wealth.com is the industry's leading estate planning platform, empowering more than 1,000 wealth management firms to modernize how they talk about estate planning with their clients. As the only tech-led, end-to-end platform built specifically for financial institutions, Wealth.com enables firms to drive scale, efficiency, and measurable client impact. Trusted by some of the largest names in finance, Wealth.com combines proprietary AI, robust security, and deep technological and legal expertise to serve the full range of client needs, from foundational plans to the most sophisticated estate strategies. The company has been widely recognized for innovation and leadership, winning Top Estate Planning Technology and Top Estate Planning Implementation at the 2025 WealthManagement.com Industry Awards, being named the 2024 Best Technology Provider in the Trust category, and earning #1 in estate planning market share in the 2025 Kitces AdvisorTech Study.
Our team is fundamental to our standing as the leading estate planning platform. We cultivate a collaborative and supportive environment, fostering innovation and making Wealth.com a truly enjoyable workplace. Wealth.com is proud to be certified as a Great Place to Work for 2025.
The OpportunityLooking to gain practical, hands-on experience in the field of AI/ML? The Wealth.com Technology Internship Program helps passionate early career professionals gain real-world exposure to applying the latest advancements in Large Language Models (LLM), Computer Vision (CV) and Natural Language Processing (NLP) in the legal & financial tech sector.
Applied Scientist Interns work collaboratively with Software Engineers and other Applied Scientists to pursue a broad range of AI initiatives. By using a combination of various state-of-the-art natural language and vision models, interns will help build complex legal AI assistants.
Key Responsibilities
  • Work with complex datasets from various sources to build Extract, Transform, and Load (ETL) data pipelines for downstream tasks
  • Finetune and integrate the latest Large Language Models (LLMs) such as OpenAI/Gemini/MistralAI models into production systems.
  • Train, finetune and deploy large-scale NLP and CV models to power complex document understanding experiences.
  • Design and implement scalable and efficient Q&A RAG frameworks
  • Collaborate with other product managers and engineers in the team to build tools to evaluate and improve the end-to-end AI quality of our production systems.
  • Effectively communicating and demonstrating work to stakeholders

Required Qualifications
  • Currently pursuing a Bachelor's, Master's OR PhD degree in Computer Science, Electrical or Computer Engineering, or related field (e.g., statistics, predictive analytics, research)
  • Experience building sophisticated RAG pipelines with LLMs
  • OR Experience with common machine learning, deep learning frameworks like PyTorch/TensorFlow
  • OR Experience developing and deploying complex AI/ML models to production

Preferred Qualifications
  • Currently pursuing a Master's OR PhD degree in Computer Science, Electrical or Computer Engineering, or related field (e.g., statistics, predictive analytics, research) AND 1+ years related experience (e.g., statistics, predictive analytics, research)
  • 1+ year(s) experience productionizing complex AI/ML models
  • 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
  • 1+ year(s) experience conducting research as part of a research program (in academic or industry settings)

Compensation & Level
$45- $55/ Hour
Wealth is an equal opportunity employer and encourages people from all backgrounds to apply. Should you have a disability or special need that requires accommodation, please let us know.

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