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Machine Learning Scientist Intern Jobs (NOW HIRING)

The New York Times

Machine Learning Scientist

New York, NY · On-site

$121K - $131K/yr

We are a group of machine learning scientists and data analysts that partner with teams across The New York Times. We are looking for a Machine Learning Scientist to join the team and apply machine ...

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Machine Learning Scientist Intern information

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$88K

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

As of Jun 9, 2026, the average yearly pay for machine learning scientist 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 kinds of projects and collaborations can a Machine Learning Scientist Intern expect during their internship?

As a Machine Learning Scientist Intern, you can expect to work on real-world data-driven projects, often involving tasks like data preprocessing, developing and testing machine learning models, and analyzing model performance. Interns typically collaborate with experienced data scientists, engineers, and sometimes product teams, participating in regular meetings and code reviews. This role offers hands-on experience with large datasets and modern ML frameworks, along with mentorship to help you grow your technical and research skills. Working cross-functionally is common, so strong communication and teamwork are valuable assets.

What does a Machine Learning Scientist Intern do?

A Machine Learning Scientist Intern typically assists in designing, developing, and testing machine learning models to solve real-world problems. They collaborate with experienced scientists and engineers to analyze data, select appropriate algorithms, and evaluate model performance. Interns often contribute to research projects, data preprocessing, and implementation of prototypes. This role provides valuable hands-on experience in applying machine learning techniques to practical challenges and often involves learning and using tools such as Python, TensorFlow, or PyTorch.

What are the key skills and qualifications needed to thrive as a Machine Learning Scientist Intern, and why are they important?

To thrive as a Machine Learning Scientist Intern, you generally need a solid foundation in mathematics, statistics, and programming (especially Python), often supported by coursework or research experience in machine learning. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems is typically expected. Strong problem-solving skills, curiosity, and effective communication help interns stand out when collaborating and presenting results. These skills and qualities are vital for effectively developing models, interpreting data, and contributing to innovative projects in a team environment.
What cities are hiring for Machine Learning Scientist Intern jobs? Cities with the most Machine Learning Scientist Intern job openings:
What are the most commonly searched types of Machine Learning Scientist jobs? The most popular types of Machine Learning Scientist jobs are:
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Machine Learning Scientist Intern jobs near you
Applied Machine Learning Scientist Intern - PhD

Applied Machine Learning Scientist Intern - PhD

Marvell Technology, Inc.

Santa Clara, CA • On-site

Full-time

Medical, Dental, Vision, Retirement

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

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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