R35GM163973) focused on biomolecular simulations and machine learning applications in biological ... Experience in one or more programming languages such as Python, Perl, C, or Fortran. * Experience ...
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Machine Learning Developer Intern information
See Merced, CA salary details
$26.9K - $32.9K
5% of jobs
$34.9K is the 25th percentile. Wages below this are outliers.
$32.9K - $38.9K
59% of jobs
$38.9K - $44.9K
9% of jobs
$45.4K is the 75th percentile. Wages above this are outliers.
$44.9K - $50.9K
17% of jobs
$50.9K - $56.9K
4% of jobs
$56.9K - $62.9K
2% of jobs
$62.9K - $68.9K
3% of jobs
$68.9K - $74.9K
0% of jobs
$74.9K - $80.9K
0% of jobs
$80.9K - $86.9K
0% of jobs
$86.9K - $92.9K
0% of jobs
$26.9K
$45K
$92.9K
How much do machine learning developer intern jobs pay per year?
What does a machine learning developer intern do?
What are the key skills and qualifications needed to thrive as a machine learning developer intern?
How do machine learning developer interns typically collaborate with data scientists and engineers during their internship?
What is the difference between Machine Learning Developer Intern vs Data Scientist Intern?
| Aspect | Machine Learning Developer Intern | Data Scientist Intern |
|---|---|---|
| Required Credentials | Typically pursuing or recently completed a degree in Computer Science, Data Science, or related fields; knowledge of programming languages like Python or Java | Similar educational background; strong skills in statistics, programming, and data analysis |
| Work Environment | Hands-on experience with ML models, algorithms, and software development in tech or research settings | Data analysis, visualization, and interpretation in business or research contexts |
| Employer & Industry Usage | Tech companies, startups, research labs focusing on AI/ML projects | Business, 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
Date2026-10-01
LocationUniversity of California, Merced
DescriptionThe 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.
Please complete the application posted on this website: https://aprecruit.ucmerced.edu/JPF02199