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Applied Scientist Intern Jobs (NOW HIRING)

Baxters North America Inc

Food Scientist Intern

Salem, OR · On-site

$20 - $25.75/hr

Preliminary coursework or training in food science, culinary areas, or other applied sciences. Competencies: Creative problem-solving skills and an orientation towards innovation. Ability to work in ...

Adobe, Inc.

Staff Applied Scientist

San Jose, CA · On-site

$164K - $313K/yr

D. in Computer Science, Machine Learning, or a related field preferred. • Proven track record in ... intern experience. About Adobe Adobe empowers everyone to create through innovative platforms and ...

Adobe

Senior Applied Scientist

San Jose, CA · On-site

$164K - $313K/yr

Ph.D. in Computer Science, Machine Learning, or a related field preferred. Proven track record in ... intern experience. About Adobe Adobe empowers everyone to create through innovative platforms and ...

Adobe, Inc.

Senior Applied Scientist

San Jose, CA · On-site

$164K - $313K/yr

D. in Computer Science, Machine Learning, or a related field preferred. • Proven track record in ... intern experience. About Adobe Adobe empowers everyone to create through innovative platforms and ...

Adobe

Staff Applied Scientist

San Jose, CA

$164K - $313K/yr

Ph.D. in Computer Science, Machine Learning, or a related field preferred. Proven track record in ... intern experience. About Adobe Adobe empowers everyone to create through innovative platforms and ...

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Applied Scientist Intern information

What careers can I go into with applied science?

Applied Scientist Interns develop skills in data analysis, machine learning, and research, which can lead to careers such as data scientist, machine learning engineer, research scientist, or AI specialist. These roles often require proficiency in programming languages like Python or R, and familiarity with tools like TensorFlow or PyTorch. Career paths typically involve roles in technology, healthcare, finance, or research organizations that leverage scientific and analytical expertise.

What does an Applied Scientist Intern do?

An Applied Scientist Intern typically works on real-world problems by applying scientific methods, machine learning, data analysis, and programming skills. They collaborate with engineers and researchers to develop and test models or algorithms that solve business or technical challenges. Interns may also help collect and analyze data, run experiments, and document their findings. This role provides hands-on experience in both research and practical implementation, often in fields like artificial intelligence, data science, or computer vision.

What types of projects do Applied Scientist Interns typically work on, and how are these projects structured within the team?

Applied Scientist Interns often work on data-driven projects that involve developing and testing machine learning models, conducting experiments, and analyzing large datasets to solve real business problems. These projects are usually well-defined and aligned with ongoing team objectives, but interns are encouraged to contribute their own ideas and approach. Interns regularly collaborate with experienced scientists, software engineers, and product managers, receiving mentorship and feedback throughout the process. Project milestones and deliverables are often set at the beginning of the internship to ensure clear expectations and measurable outcomes.

What is an Applied Scientist intern?

An Applied Scientist intern is a temporary position for students or early-career professionals to gain hands-on experience in applying scientific research, data analysis, and machine learning techniques to real-world problems. The role often involves working with large datasets, programming in languages like Python or R, and collaborating with research and engineering teams during a set internship period.

How much do Microsoft Applied Scientist interns get paid?

Microsoft Applied Scientist interns typically receive a competitive hourly or stipend-based pay, which can vary depending on location, experience, and the internship program. Interns often work full-time during the summer and may receive additional benefits such as housing stipends or transportation allowances.

What is the salary of Applied Scientist intern at Amazon?

The salary for an Applied Scientist Intern at Amazon typically ranges from $4,000 to $7,000 per month, depending on location, experience, and academic background. Interns often work on machine learning, data analysis, and research projects using tools like Python and AWS during their internship period.

What are the key skills and qualifications needed to thrive as an Applied Scientist Intern, and why are they important?

To thrive as an Applied Scientist Intern, you generally need a solid background in mathematics, statistics, and computer science, often supported by progress toward a relevant degree such as computer science, data science, or a related field. Familiarity with programming languages like Python or R, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of data analysis tools are typically expected. Strong analytical thinking, curiosity, and effective communication skills help interns collaborate on research projects and present findings. These skills are crucial for contributing meaningful insights, building practical solutions, and working effectively within a multidisciplinary team.
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Applied Scientist Intern jobs near you
Infographic showing various Applied Scientist Intern job openings in the United States as of June 2026, with employment types broken down into 49% Full Time, 50% Part Time, and 1% Temporary. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.
Applied Machine Learning Scientist Intern - PhD

Applied Machine Learning Scientist Intern - PhD

Marvell Technology

Santa Clara, CA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 13 days ago

Job description

About Marvell
Marvell's semiconductor solutions are the essential building blocks of the data infrastructure that connects our world. Across enterprise, cloud and AI, and carrier architectures, our innovative technology is enabling new possibilities.
At Marvell, you can affect the arc of individual lives, lift the trajectory of entire industries, and fuel the transformative potential of tomorrow. For those looking to make their mark on purposeful and enduring innovation, above and beyond fleeting trends, Marvell is a place to thrive, learn, and lead.
Your Team, Your Impact
Marvell IT - Data Analytics Team is at the forefront of driving Marvell's Data Intelligence, Strategy, and Architecture initiatives. As a high-visibility team, we deliver critical data insights and analytics solutions to the operations and leadership group that empower data-driven decision-making at the highest levels.
Our team is responsible for executing global, high-impact projects that add significant value across the organization. By leveraging cutting-edge data analytics technologies and methodologies, we ensure that Marvell remains a leader in harnessing data for business advantage.
What You Can Expect
We are seeking a motivated and enthusiastic Data Science Intern to join our data and analytics team. This internship is an excellent opportunity for individuals looking to apply their academic knowledge of data science in a real-world setting. The intern will work closely with our experienced data scientists, engineers, and business stakeholders to develop data-driven insights and build predictive models that address business challenges.
Key Responsibilities:
  • Collaborate with the data science team to gather, clean, and preprocess data from various sources.
  • Perform exploratory data analysis (EDA) to identify patterns, trends, and relationships within large datasets.
  • Assist in building and optimizing machine learning models to solve business problems.
  • Develop data visualizations, dashboards, and reports using tools like Power BI or Python libraries.
  • Present findings and recommendations to stakeholders in a clear and concise manner.
  • Work with large-scale data sets using SQL, Python for data manipulation and analysis.
  • Support the development and deployment of machine learning models in production .Support data integration and data engineering activities, including ETL processes, within Snowflake or Databricks environments.

What We're Looking For
  • Pursuing degree in Computer Science, Data Science, or related field
  • Proficiency in Python for data analysis, including libraries like pandas, NumPy, scikit-learn, and matplotlib etc.
  • Knowledge of SQL for querying databases.
  • Understanding of basic statistical concepts and machine learning algorithms (e.g., regression, classification, clustering).
  • Familiarity with data visualization tools such as Power BI or Python-based visualization libraries (e.g., seaborn, Plotly).
  • Proficiency in data preprocessing, data transformation, and exploratory data analysis (EDA) to extract valuable insights from raw datasets.
  • Familiarity with Generative AI and Large Language Models (LLMs) is a plus.

Expected Base Pay Range (USD)
0 - 0, $ per hour.
The successful candidate's starting base pay will be determined based on job-related skills, experience, qualifications, work location and market conditions. The expected base pay range for this role may be modified based on market conditions.
Additional Compensation and Benefit Elements
Marvell is committed to providing exceptional, comprehensive benefits that support our employees at every stage - from internship to retirement and through life's most important moments. Our offerings are built around four key pillars: financial well-being, family support, mental and physical health, and recognition. Highlights for our interns: medical, dental, and vision coverage, perks and discounts, robust mental health resources to prioritize emotional well-being, and paid holidays. Additional compensation may be available for intern PhD candidates. We look forward to sharing more with you during the interview process.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.
Any applicant who requires a reasonable accommodation during the selection process should contact Marvell HR Helpdesk at TAOps@marvell.com.
Interview Integrity
To support fair and authentic hiring practices, candidates are not permitted to use AI tools (such as transcription apps, real-time answer generators like ChatGPT or Copilot, or automated note-taking bots) during interviews.
These tools must not be used to record, assist with, or enhance responses in any way. Our interviews are designed to evaluate your individual experience, thought process, and communication skills in real time. Use of AI tools without prior instruction from the interviewer will result in disqualification from the hiring process.
This position may require access to technology and/or software subject to U.S. export control laws and regulations, including the Export Administration Regulations (EAR). As such, applicants must be eligible to access export-controlled information as defined under applicable law. Marvell may be required to obtain export licensing approval from the U.S. Department of Commerce and/or the U.S. Department of State. Except for U.S. citizens, lawful permanent residents, or protected individuals as defined by 8 U.S.C. 1324b(a)(3), all applicants may be subject to an export license review process prior to employment.
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