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Seasonal Graduate Machine Learning Jobs (NOW HIRING)

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using ... Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ...

Machine Learning Engineer - NJ

Addison, TX · On-site

$54 - $71.50/hr

We are seeking a Machine Learning Engineer to design and develop robust analytics models using ... Undergraduate or Graduate degree in Computer Science, Mathematics, Physics, or related fields. A ...

Senior Machine Learning Engineer

Austin, TX · On-site

$121K - $160K/yr

We are looking for a passionate, highly motivated, and hands-on applied Senior Machine Learning ... Preferred Qualifications PhD or Graduate degree with research/work experience using data science ...

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Seasonal Graduate Machine Learning information

See salary details

$25.5K

$42.6K

$88K

How much do seasonal graduate machine learning jobs pay per year?

As of Jul 10, 2026, the average yearly pay for seasonal graduate machine learning 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 is the difference between Seasonal Graduate Machine Learning vs Data Analyst?

AspectSeasonal Graduate Machine LearningData Analyst
Required CredentialsDegree in Computer Science, Data Science, or related field; knowledge of ML frameworksDegree in Statistics, Mathematics, or related field; proficiency in data visualization tools
Work EnvironmentTech companies, research labs, or industries applying ML models seasonallyBusiness environments, finance, marketing, or healthcare sectors
Employer & Industry UsageUsed in industries deploying ML solutions seasonally, such as retail or e-commerceCommon in industries analyzing data trends for decision-making

Seasonal Graduate Machine Learning roles focus on developing and applying machine learning models during specific seasons, often requiring programming and ML knowledge. Data Analysts interpret data to inform business decisions, emphasizing statistical analysis and visualization. While both roles involve working with data, Machine Learning positions are more technical and model-driven, whereas Data Analysts focus on insights and reporting.

What cities are hiring for Seasonal Graduate Machine Learning jobs? Cities with the most Seasonal Graduate Machine Learning job openings:
What are the most commonly searched types of Graduate Machine Learning jobs? The most popular types of Graduate Machine Learning jobs are:
What states have the most Seasonal Graduate Machine Learning jobs? States with the most job openings for Seasonal Graduate Machine Learning jobs include:
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

Posted 2 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!