ZipRecruiter

Log In

1

Machine Learning Postdoc Jobs in California (NOW HIRING)

previous pagenext page

Showing results 21-40

All JobsMachine Learning Postdoc JobsMachine Learning Postdoc Jobs in California

Machine Learning Postdoc information

What is a machine learning postdoc?

A Machine Learning Postdoc is a research-focused position typically held after earning a Ph.D. in a related field. It involves conducting advanced research in machine learning, developing new algorithms, and publishing in top-tier conferences and journals. Postdocs often collaborate with faculty, industry partners, and other researchers to advance the state of the art in AI. The role may include mentoring students and contributing to grant proposals. It serves as a bridge between doctoral studies and a long-term academic or industry research career.

What are the typical responsibilities and collaborative aspects of a machine learning postdoc?

A Machine Learning Postdoc typically conducts original research, develops and tests new algorithms, and contributes to academic publications or patent applications. Daily tasks often involve data analysis, model building, and experimentation using advanced computational tools. Collaboration is key in this role, as postdocs frequently work alongside faculty, graduate students, and external industry partners to advance research objectives. Additionally, they may mentor junior researchers or students, present at conferences, and participate in grant writing or project planning. This mix of independent research and team collaboration fosters both professional growth and impactful scientific advancements.

What are the key skills and qualifications needed to thrive in a machine learning postdoc position?

To thrive as a Machine Learning Postdoc, you need a deep understanding of machine learning algorithms, statistical modeling, and research methodology, typically supported by a completed PhD in a related field. Proficiency with programming languages like Python or R, experience with ML libraries (e.g., TensorFlow or PyTorch), and familiarity with large-scale datasets and cloud computing platforms are important. Strong analytical thinking, effective communication, and the ability to collaborate across multidisciplinary teams are standout soft skills in this position. These qualifications ensure innovative research contributions, successful project execution, and effective dissemination of findings in both academic and applied settings.

What are the most commonly searched types of Machine Learning Postdoc jobs in California?

The most popular types of Machine Learning Postdoc jobs in California are:

What are popular job titles related to Machine Learning Postdoc jobs in California?

For Machine Learning Postdoc jobs in California, the most frequently searched job titles are:

What job categories do people searching Machine Learning Postdoc jobs in California look for?

The top searched job categories for Machine Learning Postdoc jobs in California are:

What cities in California are hiring for Machine Learning Postdoc jobs?

Cities in California with the most Machine Learning Postdoc job openings:

Machine Learning Postdoc jobs near you
Infographic showing various Machine Learning Postdoc job openings in California as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 83% In-person, 6% Hybrid, and 11% Remote job distribution.

Postdoctoral Scholar in Computational Biophysics

CHARMM-GUI

Merced, CA • On-site

$60 - $80/hr

Other

Posted 6 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

#J-18808-Ljbffr

Apply