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Summer Volunteer Machine Learning Jobs (NOW HIRING)

Hang raised a $16 million Series A led by Paradigm last summer, with participation from Tiger ... This person will implement and develop machine learning models to enhance our platform ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Community Volunteering & Company Philanthropy Programs * Employee Peer Recognition Programs - "You ...

SUMMARY The Machine Learning Engineer provides hands-on expertise in designing, implementing, and ... Community Volunteering & Company Philanthropy Programs * Employee Peer Recognition Programs - "You ...

Machine Learning Engineer

New York, NY · On-site +1

$223K - $260K/yr

Train, evaluate, test, and deploy machine learning models. Part-time telecommuting is an option ... Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave Submit a resume with ...

As a Machine Learning Engineer, you will play a crucial role in developing and deploying cutting ... for volunteer time each calendar year. To learn more about working at Yum! -Click here. At Yum ...

Machine Learning Engineer

San Francisco, CA · On-site +1

$187K - $260K/yr

Train, evaluate, and deploy sophisticated machine learning models to improve experiences for ... Flexible Vacation & Paid Volunteer Time Off * Generous Paid Parental Leave Submit a resume with ...

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Summer Volunteer Machine Learning information

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How much do summer volunteer machine learning jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for summer volunteer machine learning in the United States is $19.14, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.19 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Volunteer Machine Learning jobs? The most popular types of Volunteer Machine Learning jobs are:
Infographic showing various Summer Volunteer Machine Learning job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 38% Full Time, 58% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $39,804 per year, or $19.1 per hour.
Last Minute AI-Machine Learning Summer Internship (Gen AI - Multimodal)

Last Minute AI-Machine Learning Summer Internship (Gen AI - Multimodal)

Eluvio

Berkeley, CA • On-site

Temporary, Internship

Posted 19 days ago


Job description

If you are an outstanding upper undergrad, recent grad or grad student and are looking for an amazing last-minute Summer Internship - this is the opportunity for you! Eluvio AI is growing fast and we have a new internship position available in our Berkeley HQ!

Eluvio is a highly focused and ambitious team of systems, networking, application, and video software engineers, AI scientists, ML engineers, and security experts working together to implement the vision of the Content Fabric - a decentralized platform for video and commerce with the ambition of serving the world's Internet video. The Eluvio Content Fabric provides an innovative distributed and decentralized video processing framework with just-in-time and personalized experiences, made possible through our state-of-the-art real-time content routing and just-in-time code execution. We are headquartered in Berkeley, CA.

Eluvio uses a wide range of machine learning and deep learning techniques within its content fabric. This position offers an internship opportunity for students with excellent academic records pursuing graduate degrees in computer science, data science, or related fields (or advanced undergraduates) to work in our office with our software engineering team on ML, DL and data science solutions.

Responsibilities

  • Work with the Eluvio AI Machine Learning and Data Science Team
  • Build production level machine learning models on large-scale datasets to increase the intelligence of video/audio content
  • Provide data-driven recommendations and actionable insights on problems such as content understanding/augmentation/location
  • Develop multi-functional learning pipelines
  • Collaborate with product and engineering teams to implement models at scale
  • Help train and develop multimodal learning models using advanced learning techniques including RAG, self-supervised learning, semi-supervised, and transductive learning.

Requirements

Desired Qualifications

  • MSc or PhD student in Computer Science & Engineering/Statistics/Math/Physics, or Advanced Undergraduate
  • Deep classroom experience in data science or machine learning or prior internship
  • Comfortable with Python or R
  • Knowledge of machine/deep learning algorithms (e.g. gradient boosting, CNNs, sequence models) and frameworks/libraries (e.g., Tensorflow, PyTorch, Sci kit-learn)
  • Knowledge of computer vision and natural language processing
  • Strong working experience with large multi-modal and language models preferred
  • Great communication skills, organized, able to multitask and be a team player
  • Ability to balance attention to detail with agile execution

Benefits

Paid summer internship with one of the top Video AI tech companies in the world!

Catered Lunches (really good food)

Great atmosphere, nice colleagues

Summer Party!