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Internship Applied Scientist Machine Learning Jobs

Microsoft

Senior Applied Scientist

Redmond, WA · On-site

They are seeking a Senior Applied Scientist to design and implement cutting-edge machine learning models and algorithms for Microsoft Ads and Shopping, impacting millions of users and advertisers.

Fuze Health

OR

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 ...

Viant Technology

Staff Applied Scientist

Irvine, CA · On-site

Viant Technology is transforming the Ad Tech industry through machine learning and AI-driven automation. They are seeking a Staff Applied Scientist to lead AI strategy and drive innovation in applied ...

ISEE

Research Scientist - Machine Learning

Robotics, Artificial Intelligence, Machine Learning, Perception, Modeling, Simulation, Applied ... in Robotics, Computer Science, Electrical Engineering, Aerospace Engineering, Mechanical ...

Viant Technology

Staff Applied Scientist

Irvine, CA · On-site

$180K - $220K/yr

WHAT YOU'LL DO Viant's Machine Learning team is at the forefront of transforming the Ad Tech ... We are seeking an exceptional Staff Applied Scientist to drive groundbreaking innovation in applied ...

Relativity

Principal Applied Scientist

Washington, DC · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

Relativity

Principal Applied Scientist

Manhattan, NY · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

Relativity

Principal Applied Scientist

New York, NY · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

Relativity

Principal Applied Scientist

Kansas City, MO · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

Adobe

Applied Scientist 3

San Jose, CA · On-site

Adobe is dedicated to changing the world through digital experiences and is seeking an Applied Scientist to join their Firefly's Applied Science & Machine Learning group. This role focuses on ...

Relativity

Principal Applied Scientist

Columbus, OH · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

Relativity

Principal Applied Scientist

Washington, DC · On-site +1

Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We ... Select the appropriate modeling approach for each problem, ranging from classical machine learning ...

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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 May 28, 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 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 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 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.

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.

More about Internship Applied Scientist Machine Learning jobs
What cities are hiring for Internship Applied Scientist Machine Learning jobs? Cities with the most Internship Applied Scientist Machine Learning job openings:
What are the most commonly searched types of Applied Scientist Machine Learning jobs? The most popular types of Applied Scientist Machine Learning jobs are:
What states have the most Internship Applied Scientist Machine Learning jobs? States with the most job openings for Internship Applied Scientist Machine Learning jobs include:
What job categories do people searching Internship Applied Scientist Machine Learning jobs look for? The top searched job categories for Internship Applied Scientist Machine Learning jobs are:
Internship Applied Scientist Machine Learning jobs near you
Infographic showing various Internship Applied Scientist Machine Learning job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 87% Full Time, 11% Part Time, and 1% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $42,584 per year, or $20.5 per hour.
Senior Applied Scientist

Senior Applied Scientist

Microsoft

Redmond, WA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Microsoft rating

8.6

Company rating: 8.6 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

46th of 184 rated software companies

Job description

Job Summary:
Microsoft is a global technology company that empowers individuals and organizations to achieve more. They are seeking a Senior Applied Scientist to design and implement cutting-edge machine learning models and algorithms for Microsoft Ads and Shopping, impacting millions of users and advertisers. The role involves driving algorithmic improvements and collaborating across disciplines to enhance ad relevance and optimize user experiences.
Responsibilities:
• Own high‑impact and open-ended relevance problem areas across Product Ads and Shopping including providing strategic direction to solve problems and applying deep subject matter knowledge to support business impact.
• Drive algorithmic and modeling improvements to the system using primarily deep learning techniques from NLP and computer vision, including latest LLM models, to deliver clear and measurable product impact
• Exercise solid technical judgment on metrics, evaluation strategies, and tradeoffs optimizing for overall product ROI rather than isolated metrics.
• Act as a technical leader and mentor, providing design reviews and documenting to share modeling guidance and evaluation best practices for other applied scientists to promote innovation.
• Collaborate deeply across disciplines (Engineering, PM, Research, Data Science), translating scientific intent into production‑ready systems and constraints.
• Operate with high independence and accountability, anticipating risks, planning for unknowns, and requiring minimal oversight to deliver sustained impact at scale.
• Use your deep understanding of fairness and bias to contribute to ethics and privacy policies related to research processes and data collection.
Qualifications:
Required:
• Bachelor's Degree in Data Science, Machine Learning, Statistics, Computer Science or Computer Engineering or related field AND 4+ years related experience (e.g., statistics predictive analytics, research)
• OR Master's Degree in Data Science, Machine Learning, Statistics, Computer Science or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR Doctorate in Data Science, Machine Learning, Statistics, Computer Science or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.
Preferred:
• Data Science, Machine Learning, Statistics, Computer Science or Computer Engineering or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research)
• OR equivalent experience.
• 4+ years working experience in statistical natural language processing (NLP) with the latest deep learning technologies including transformer and LLMs OR 4+ years working experience in Computer Vision (CV) with latest deep learning technologies including Vision Transformers.
• 4+ years working experience with coding in production systems using C++, C#, Java or Python.
Company:
Microsoft is a software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Founded in 1975, the company is headquartered in Redmond, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Microsoft employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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