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Machine Learning Developer Intern Jobs in Merced, CA

You will contribute to the ongoing development and effectiveness of the sales team's learning and ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

You will contribute to the ongoing development and effectiveness of the sales team's learning and ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ... your learning experience through additional internship seasons Why Join Workiva Workiva is the ...

September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ... your learning experience through additional internship seasons Why Join Workiva Workiva is the ...

Currently enrolled in a bachelor's or master's degree program in Engineering, Business, Marketing, or relevant in the United States. * Intern must have reliable transportation to and from the ...

Currently enrolled in a bachelor's or master's degree program in Engineering, Business, Marketing, or relevant in the United States. * Intern must have reliable transportation to and from the ...

Showing results 21-40

Machine Learning Developer Intern information

See Merced, CA salary details

$26.9K

$45K

$92.9K

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

As of Sep 10, 2026, the average yearly pay for machine learning developer intern in Merced, CA is $44,969.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,300.00 and $48,600.00 per year, depending on experience, location, and employer.

What does a machine learning developer intern do?

A Machine Learning Developer Intern assists with developing, testing, and implementing machine learning models and algorithms under the guidance of experienced engineers or data scientists. Their tasks may include data preprocessing, model training, evaluating model performance, and helping deploy models into production environments. Interns often collaborate with team members to solve real-world problems using machine learning techniques and may also assist in researching new methodologies or optimizing existing solutions. This role provides hands-on experience in coding, data analysis, and applying theoretical concepts to practical scenarios.

What are the key skills and qualifications needed to thrive as a machine learning developer intern?

To thrive as a Machine Learning Developer Intern, you need a solid understanding of programming (especially Python), statistics, and machine learning concepts, often supported by coursework or relevant project experience. Familiarity with ML frameworks like TensorFlow or PyTorch, and tools such as Jupyter Notebooks and version control systems like Git, is typically expected. Strong analytical thinking, eagerness to learn, and effective communication help interns contribute to team projects and adapt quickly. These skills are essential for solving real-world problems, collaborating with teams, and building a foundation for a successful career in machine learning.

How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?

Machine Learning Developer Interns often work closely with data scientists to understand the problem domain, gather relevant datasets, and select appropriate models. They also collaborate with software engineers to integrate machine learning solutions into existing systems, ensuring scalability and performance. Regular communication through stand-up meetings, code reviews, and collaborative platforms is common, allowing interns to learn best practices and receive feedback on their work. This teamwork not only enhances technical skills but also provides valuable exposure to real-world deployment and project lifecycle management.

What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?

AspectMachine Learning Developer InternData Scientist Intern
Required CredentialsTypically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or JavaSimilar educational background; strong skills in statistics, programming, and data analysis
Work EnvironmentHands-on experience with ML models, algorithms, and software development in tech or research settingsData analysis, visualization, and interpretation in business or research contexts
Employer & Industry UsageTech companies, startups, research labs focusing on AI/ML projectsBusiness, finance, healthcare, and research organizations analyzing large datasets

Both roles involve working with data and programming, but Machine Learning Developer Interns focus more on building and deploying ML models, while Data Scientist Interns emphasize data analysis and insights. The roles often overlap, especially in tech environments, but their core tasks differ slightly.

What cities near Merced, CA are hiring for Machine Learning Developer Intern jobs?

Cities near Merced, CA with the most Machine Learning Developer Intern job openings:

Postdoctoral Scholar in Computational Biophysics

Merced, CA • On-site

Other

Posted 8 days ago


Job description

CHARMM is a versatile program for atomic-level simulation of
many-particle systems, particularly macromolecules of
biological interest. - M. Karplus

Postdoctoral Scholar in Computational Biophysics

Date

2026-10-01

Location

University of California, Merced

Description

The Dutagaci Lab at the University of California, Merced is seeking a postdoctoral scholar to work on an NIH-funded project (Project Number: R35GM163973) focused on biomolecular simulations and machine learning applications in biological systems. The Postdoctoral Scholar will conduct mentored research under the supervision of the PI and investigate transcription by studying the structure and dynamics of RNA polymerase to address mechanistic questions related to the roles of elongation factors and their connection to human diseases.

Responsibilities
  • Conduct research in computational biophysics related to the project, using standard and enhanced sampling molecular dynamics simulations and machine learning approaches.
  • Participate in manuscript preparation and dissemination of research findings through presentations at scientific conferences and publications in peer‑reviewed journals.
  • Participate in professional development activities such as scientific conferences and meetings.
  • Assist in mentoring graduate and undergraduate students under the supervision of the PI at Dutagaci Lab.

The position is available immediately. The initial appointment is for two years, with the possibility of extension for up to a total of five years, contingent upon satisfactory performance and the availability of funding.

Qualifications
  • Basic qualifications:
    • Ph.D. in Chemistry, Biochemistry, Biology, Physics, or related fields.
    • Experience working in a Linux environment.
    • Experience in one or more programming languages such as Python, Perl, C, or Fortran.
    • Experience in one or more molecular dynamics simulation software such as CHARMM, OpenMM, NAMD, or GROMACS.
    • A record of peer‑reviewed research publications.
  • Preferred qualifications:
    • Experience with machine learning and statistical analysis methods.
    • Graduate‑level training in computational biophysics or physical chemistry.
    • Experience in biomolecular simulations.
How to Apply

Please complete the application posted on this website: https://aprecruit.ucmerced.edu/JPF02199

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