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Applied Machine Learning Intern Jobs (NOW HIRING)

Applied Machine Learning Engineer | Music Software (Multiple Roles open) Role: Applied Machine Learning Engineer (Mid - Senior Opportunity) Company: Splash Employment Type: Contract (3 months ...

Senior Applied Machine Learning Scientist

OR · On-site +1

$91K - $124K/yr

Workiva is seeking a Senior Applied Machine Learning Scientist to join our innovative team. In this role, you will deliver high-quality technology solutions, guide teams through complex challenges ...

Senior Applied Machine Learning Scientist

$93K - $127K/yr

Workiva is seeking a Senior Applied Machine Learning Scientist to join our innovative team. In this role, you will deliver high-quality technology solutions, guide teams through complex challenges ...

A strong focus on applied problem-solving, with a practical approach to integrating existing tools and systems. * A good understanding of music, production, or audio technology processes (or a strong ...

We are searching for a talented Senior/Staff Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. Our platform is connected to thousands ...

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Applied Machine Learning Intern information

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$25.5K

$42.6K

$88K

How much do applied machine learning intern jobs pay per year?

As of Jun 6, 2026, the average yearly pay for applied machine learning 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 is the difference between Applied Machine Learning Intern vs Data Science Intern?

AspectApplied Machine Learning InternData Science Intern
Required SkillsMachine learning algorithms, programming (Python, R), data analysisStatistical analysis, data visualization, programming (Python, R)
Work EnvironmentDeveloping ML models, experimenting with algorithms, deploying modelsData cleaning, analysis, reporting insights
Industry UsageTech companies, AI startups, research labsBusiness analytics, market research, finance

Applied Machine Learning Interns focus on developing and deploying machine learning models, requiring knowledge of algorithms and programming. Data Science Interns typically handle data analysis, visualization, and reporting. While both roles involve data skills, applied ML interns work more on model implementation, whereas data science interns focus on insights and data interpretation.

More about Applied Machine Learning Intern jobs
What cities are hiring for Applied Machine Learning Intern jobs? Cities with the most Applied Machine Learning Intern job openings:
What states have the most Applied Machine Learning Intern jobs? States with the most job openings for Applied Machine Learning Intern jobs include:

Applied Machine Learning Scientist (Remote)

StackAdapt

Remote

Full-time

Posted 3 days ago


Job description

Job Summary:
StackAdapt is a leading technology company that empowers marketers to reach, engage, and convert audiences with precision. They are seeking an Applied Machine Learning Scientist to innovate ML algorithms, write production code, and prototype algorithms to improve advertising performance.
Responsibilities:
• Innovate ML algorithms to maximize ROI and advertising performance. This ranges from creating entirely new algorithms, to improvements on state-of-the art methods, to development using a deep understanding of classic methods
• Write production code, sometimes collaborating with Data Engineers, to implement the novel ML algorithms
• Prototype potential algorithms and pipelines, test them using historical data, and iterate to modify based on insights
Qualifications:
Required:
• Have a Masters degree or PhD in Computer Science, Statistics, Operations Research, or a related field, with dual degrees a plus.
• Have the ability to take an ambiguously defined task, and break it down into actionable steps.
• Have a comprehensive understanding of statistics, optimization and machine learning.
• Are proficient in coding, data structures, and algorithms.
• Enjoy working in a friendly, collaborative environment with others.
Company:
StackAdapt is a multi-channel programmatic advertising platform that helps maximize digital marketing efforts through data-driven solutions. Founded in 2014, the company is headquartered in Toronto, CAN, with a team of 1001-5000 employees. The company is currently Late Stage.