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Seasonal Graduate Machine Learning Jobs (NOW HIRING)

Instacart

Senior Machine Learning Engineer, Economist

OR · On-site +1

$91K - $116K/yr

Overview As a machine learning engineer in the Economics team, you will build state-of-the-art ... Graduate Degree (Masters or PhD) in Economics or a closely related field * A blend of economic ...

Unitytech

Machine Learning Engineer, New Grad

Bellevue, WA · On-site +1

$117K - $152K/yr

This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply research-driven thinking to real-world machine learning problems. You'll help build and ...

Socket.dev

$100 - $125/hr

This is an ideal role for a recent university graduate who is excited to work on large-scale systems and apply research-driven thinking to real-world machine learning problems. You'll help build and ...

Weekday AI

Machine Learning & NLP Expert

$80 - $110/hr

Deep hands-on experience in Machine Learning and/or Natural Language Processing through industry, research, or graduate/PhD-level work. * Strong proficiency in Python with practical experience ...

TeleWorld Solutions Inc

Machine Learning Engineer

Plano, TX · On-site

$53.50 - $71/hr

Graduate Degree in Computer Science, Statistics, Data Science or a related Data Engineering with 7+ ... Machine learning expertise: GLM Regression (Linear, Logistic, Multinomial), Decision Tree ...

TeleWorld Solutions Inc

$41 - $54.50/hr

Graduate Degree in Computer Science, Statistics, Data Science or a related Data Engineering with 7+ ... Machine learning expertise: GLM Regression (Linear, Logistic, Multinomial), Decision Tree ...

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Seasonal Graduate Machine Learning information

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$25.5K

$42.6K

$88K

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

As of Sep 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:

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Seasonal Graduate Machine Learning jobs near you

Machine Learning Engineer - College Graduate

San Diego, CA • On-site

Qualcomm
Technology, Communication and Media • 10K+ employees
Learn more about Qualcommexternal

Full-time

Re-posted 4 days ago

Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Qualcomm Technologies, Inc. is the world's leading mobile computing platform provider, committed to enabling the deployment of intelligent solutions across various devices. In this role, you will work in a dynamic research environment as part of a multi-disciplinary team, focusing on architecting, designing, developing, testing, and deploying on-device prototype software for AI use cases.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• Strong Python and object-oriented SW design and implementation skills.
• Knowledge of deep learning and ML frameworks (i.e. PyTorch).
• Strong software design skills with a focus on usability.
• Strong analytical, debugging and problem-solving skills.
Preferred:
• Knowledge of Generative AI (GenAI) technologies.
• Knowledge of neural network model optimization and on-target deployment is a plus.
• Knowledge of NPUs / ML accelerators.
• Knowledge of Android programming is plus.
• Optimization of algebraic operations in algorithms for HW cores is a plus.
• Knowledge of C/C++ and embedded software.
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Qualcomm employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Qualcomm logo

About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985

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