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Internship Applied Scientist Machine Learning Jobs

Strayos

$13 - $17.50/hr

... Applied Scientist internship opportunity ... Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors ...

Apple

Applied Scientist

Austin, TX · On-site

We are currently seeking an experienced and passionate Applied Scientist, who will work on innovative products at the intersection of causal inference, statistics, and machine learning to help ...

Ramp

Senior Applied Scientist, Credit Risk

Responsibilities : • Design, build, and optimize machine learning models that support credit risk decisioning and portfolio management at Ramp • Own the full applied science development lifecycle ...

Ramp

Senior Applied Scientist, Credit Risk

New York, NY · On-site

$165K - $228K/yr

You'll work at the intersection of machine learning, statistics, economics, and product strategy ... Applied scientists at Ramp focus on solving quantitative problems across credit, fraud, growth, and ...

Ramp

Senior Applied Scientist, Credit Risk

New York, NY · Remote

$165K - $228K/yr

You'll work at the intersection of machine learning, statistics, economics, and product strategy ... Applied scientists at Ramp focus on solving quantitative problems across credit, fraud, growth, and ...

Fuze Health

OR · On-site

As a Applied Scientist, you will lead the end-to-end development of advanced machine learning solutions, guiding initiatives from ideation through production, and mentoring peers across the ...

Apple

Applied Scientist

Austin, TX

$175K - $308K/yr

We are currently seeking an experienced and passionate Applied Scientist, who will work on innovative products at the intersection of causal inference, statistics, and machine learning to help ...

Apple

Applied Scientist

Austin, TX

$175K - $308K/yr

We are currently seeking an experienced and passionate Applied Scientist, who will work on innovative products at the intersection of causal inference, statistics, and machine learning to help ...

Adobe

Applied Scientist 3

San Jose, CA

Join Adobe Firefly's Applied Science & Machine Learning (ASML) group and help advance content generation technologies powered by artificial intelligence. This role involves working closely with a ...

Elevance Health

Principal Applied Scientist

Chicago, IL

$214K - $350K/yr

Mentors data scientists, machine learning engineers, researchers, and technical leaders. Minimum Requirements: * Requires an MS or PhD in Computer Science, Machine Learning, Statistics, Applied ...

New

Adobe, Inc.

Applied Scientist 3

San Jose, CA · On-site

Join Adobe Firefly's Applied Science & Machine Learning (ASML) group and help advance content generation technologies powered by artificial intelligence. This role involves working closely with a ...

Adobe

Senior Applied Scientist

San Jose, CA

$107K - $146K/yr

Adobe Firefly's Applied Science & Machine Learning (ASML) group invites an Applied Scientist / Machine Learning Engineer passionate about post-training and distillation of large generative AI models ...

Adobe, Inc.

Senior Applied Scientist

San Jose, CA · On-site

$107K - $146K/yr

Adobe Firefly's Applied Science & Machine Learning (ASML) group invites an Applied Scientist / Machine Learning Engineer passionate about post-training and distillation of large generative AI models ...

Adobe

Senior Applied Scientist

Seattle, WA

$104K - $142K/yr

Adobe Firefly's Applied Science & Machine Learning (ASML) group invites an Applied Scientist / Machine Learning Engineer passionate about post-training and distillation of large generative AI models ...

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Internship Applied Scientist Machine Learning information

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$25.5K

$42.6K

$88K

How much do internship applied scientist machine learning jobs pay per year?

As of Jul 16, 2026, the average yearly pay for internship applied scientist 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 types of projects do Internship Applied Scientists in Machine Learning typically work on, and how do they contribute to the team's goals?

Internship Applied Scientists in Machine Learning often collaborate with multidisciplinary teams to tackle real-world problems using data-driven approaches. Typical projects might include developing and fine-tuning machine learning models, conducting experiments to validate hypotheses, or assisting in the deployment of algorithms into production systems. Interns are expected to contribute fresh perspectives, help with data preprocessing, and perform thorough model evaluations. Through these projects, interns gain hands-on experience while directly supporting the team's research and product development objectives.

What is the difference between Internship Applied Scientist Machine Learning vs Internship Data Scientist?

AspectInternship Applied Scientist Machine LearningInternship Data Scientist
Required CredentialsRelevant degrees in Computer Science, Data Science, or related fields; knowledge of ML frameworksDegrees in Statistics, Data Science, or related fields; strong analytical skills
Work EnvironmentResearch and development teams, focus on ML model developmentBusiness teams, focus on data analysis and insights
Employer & Industry UsageTech companies, AI-focused organizationsVarious industries including tech, finance, healthcare
Comparison Search IntentUnderstanding roles in ML research and developmentUnderstanding data analysis and business insights roles

Internship Applied Scientist Machine Learning roles focus on developing and applying machine learning models, often in research settings. In contrast, Internship Data Scientist positions emphasize analyzing data to generate insights for business decisions. Both roles require strong analytical skills and relevant educational backgrounds, but they differ in their primary focus and work environment.

What are the key skills and qualifications needed to thrive as an Internship Applied Scientist in Machine Learning, and why are they important?

To thrive as an Internship Applied Scientist in Machine Learning, you need a solid background in mathematics, statistics, and computer science, often supported by coursework or research experience in machine learning and data analysis. Familiarity with tools such as Python, TensorFlow, PyTorch, and experience working with large datasets are highly valued, along with knowledge of version control systems like Git. Strong problem-solving skills, curiosity, and the ability to communicate complex concepts clearly set top candidates apart. These competencies are crucial for effectively designing, implementing, and presenting machine learning solutions that address real-world challenges.

What does an Internship Applied Scientist in Machine Learning do?

An Internship Applied Scientist in Machine Learning works on real-world projects involving the design, development, and evaluation of machine learning models and algorithms. Their responsibilities typically include data analysis, building predictive models, experimenting with new techniques, and collaborating with engineers and researchers to solve complex problems. Interns gain hands-on experience with tools like Python, TensorFlow, or PyTorch, and contribute to advancing the company's AI capabilities. The role requires a strong foundation in mathematics, statistics, and computer science, as well as the ability to communicate findings to both technical and non-technical stakeholders.
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Internship Applied Scientist Machine Learning jobs near you
Infographic showing various Internship Applied Scientist Machine Learning job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.

Applied Scientist Internship

Strayos

On-site, Remote

$13 - $17.50/hr

Other

Re-posted 9 days ago

Job description

If you love using innovative technology to tackle tough science problems and working in a fast-paced, results-oriented team environment, keep reading to learn more about the Strayos Applied Scientist internship opportunity.


Here at Strayos, we use advanced computer vision and machine learning on images and machine sensors data to build insights for Mining, Infrastructure and Construction industry. Our applied science team uses these datasets to better understand our customers critical business operations and how it is changing. We are seeking three exceptional students with experience interpreting and processing imagery to join our applied science team during a three-month internship based at Strayos' headquarters in Buffalo, WNY.


Over the course of this internship, you will work directly with our dynamic team of applied scientists who can share their deep knowledge of machine learning, remote sensing, geoscience, and physics. As an intern, you will learn how to implement novel, cutting-edge remote sensing and machine learning techniques to solve challenging research questions. To efficiently execute your solutions, you will access the Strayos' imagery archive and cloud-computing resources, and receive mentorship from one of our applied scientists. At the end of the internship, you will present your findings to the broader applied science team and learn more about future career opportunities at Strayos.


Responsibilities

  • Leverage our Python-based platform to query, access, and manipulate aerial imagery

  • Utilize machine learning or other classification techniques to analyze aerial imagery

  • Produce clear, concise results (e.g. ML models, statistics) for a project that can be completed during the course of the internship


Requirements

  • Candidates must currently be enrolled in an academic degree program in Geography, Geoscience, Earth Science, Engineering, Physics, Computer Science or a related field, within 1 year of completion.

  • Experience with Python & Numpy

  • Strong problem solving and critical thinking skills

  • Excellent written and verbal communication

  • Ability to work independently


Preferred skills

  • Experience with machine learning and image classification

  • Proficiency with the following Python packages: numpy, scikit-learn, keras

  • Experience working with aerial or satellite imagery and geospatial data.

Employment Type: INTERN

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