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Internship Applied Scientist Machine Learning Jobs

Apple

Applied ML Science Manager

Cupertino, CA · On-site

We are currently seeking an experienced and passionate Applied ML Science Manager to lead a dynamic ... Scientist, Machine Learning, or Data Scientist role Familiarity with a brand range of quasi ...

Apple

Applied ML Science Manager

Cupertino, CA

$206K - $356K/yr

Description As an Applied ML Science Manager, you will have the responsibility of leading a highly ... Scientist, Machine Learning, or Data Scientist role Familiarity with a brand range of quasi ...

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

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 ...

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 ...

ISEE

Research Scientist - Machine Learning

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

Adobe

Senior Applied Scientist

San Jose, CA · On-site

$107K - $146K/yr

Adobe is dedicated to changing the world through digital experiences, and they are seeking a Senior Applied Scientist to join their Applied Science & Machine Learning group. The role focuses on ...

Garner Health

Senior Applied Scientist

New York, NY · On-site

$236K - $260K/yr

We are seeking an exceptional Senior Applied Scientist to join our Applied Science team. In this ... Choose the right approach for each problem, from machine learning to optimization to heuristics to ...

Garner Health

Staff Applied Scientist

New York, NY · On-site

$260K - $382K/yr

Choose the right approach for each problem, from machine learning to optimization to heuristics to ... Review applied science work at the highest level across the company, ensuring the methods used ...

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Internship Applied Scientist Machine Learning information

See salary details

$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.
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 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 ML Science Manager

Applied ML Science Manager

Apple

Cupertino, CA • On-site

Full-time

Re-posted 12 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Services at Apple help hundreds of millions of customers get the most out of the devices they love through amazing apps, award-winning shows and movies, immersive music in spatial audio, world-class workouts and meditations, super fun games and more! The Services Data Science & Analytics organization is passionate about developing discerning insights and AIML solutions to help continually improve these services and accelerate growth while maintaining a strong dedication to customer privacy.
We are currently seeking an experienced and passionate Applied ML Science Manager to lead a dynamic team, whose goal is to provide innovative products at the intersection of causal inference, statistics, and machine learning to help drive key business decisions and optimize marketing channels, via observational testing frameworks, counterfactual modeling, and lifetime value estimation. As a key member of our diverse organization, you'll have the rare and rewarding opportunity to work with datasets of unique magnitude, richness, and dedication to privacy that will frequently require novel approaches. You'll work alongside partners across Business, Marketing, Product, Finance, and Engineering daily to deliver material customer and business value.
Description
As an Applied ML Science Manager, you will have the responsibility of leading a highly talented team of scientists and engineers dedicated to pushing the boundaries of how Causal Inference and AIML can be leveraged to better serve our customers, focusing on Services such as Apple TV, Apple Music, Apple One, and the App Store. You will be at the forefront of designing, developing, and deploying cutting-edge Causal Inference solutions, that directly impact our products and provide a granular understanding of key business initiatives and marketing effectiveness. You will also be instrumental in defining the technical vision, strategy, and execution roadmap for our AIML initiatives, ensuring that we deliver high-quality, scalable, and impactful models that solve complex customer acquisition and engagement challenges. Beyond technical leadership, you will be a key driver in fostering a vibrant culture of innovation, continuous learning, and collaborative problem-solving within your team.
Minimum Qualifications
Master's degree in Statistics, Economics, Mathematics, Machine Learning, Computer Science, Engineering, or a related technical field
3+ years of experience in a leadership or management role, leading Applied Scientists, Machine Learning Engineers and Data Scientists
5+ years of experience as an Applied Scientist, Machine Learning, or Data Scientist role
Familiarity with a brand range of quasi-experimental Causal Inference techniques such as diff-in-diff, synthetic control method, panel analysis, regression discontinuity design, interrupted time series, and propensity score matching
Working knowledge of Marketing Mix models and validation through Matched Market testing
Practical expertise leveraging Customer Lifetime Value models to drive business decision-making
Solid understanding of AIML technologies including Generative AI
Proven track record of successfully delivering complex projects from start to finish
Proficiency in programming languages such as Python, R, SQL, Java, or C++
Experience with cloud platforms, Spark, Docker, and MLOps tools and best practices
Excellent communication, collaboration, and presentation skills with meticulous attention to detail
Preferred Qualifications
PhD in related field
Hands-on experience leveraging Generative AI to improve productivity and generate new insights
Curious business attitude with an ability to condense complex concepts and models into clear and concise takeaways that drive action

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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