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Machine Learning Postdoc Jobs (NOW HIRING)

EURAXESS Ireland

WI · On-site

$68.51 - $108.47/hr

Qualifications PhD in machine learning, computer science, bioinformatics, or a related field. Strong machine‑learning modelling expertise with experience analysing large‑scale data sets.

New

Berkely Lab

Postdoctoral Scholar

San Francisco, CA · On-site

  • Medical

  • Retirement

  • PTO

... machine learning, and high-performance computing for one or more of the following: (1) ... Postdoctoral positions are paid on a step schedule per union contract and salaries will be ...

Lawrence Berkeley Lab

Postdoctoral Scholar

Berkeley, CA · On-site

  • Medical

  • Retirement

  • PTO

... machine learning, and high-performance computing for one or more of the following: (1) ... Postdoctoral positions are paid on a step schedule per union contract and salaries will be ...

Lawrence Berkeley Lab

Postdoctoral Scholar

Berkeley, CA · On-site

  • Medical

  • Retirement

  • PTO

... machine learning, and high-performance computing for one or more of the following: (1) ... Postdoctoral positions are paid on a step schedule per union contract and salaries will be ...

Tufts University

Postdoctoral Scholar

Medford, MA · On-site

$67K/yr

Overview Postdoctoral Scholar in Machine Learning for Physical Systems The Department of Electrical and Computer Engineering at Tufts University invites applications for a Postdoctoral Scholar in the ...

Berkely Lab

Postdoctoral Scholar

San Francisco, CA · On-site

  • Medical

  • Retirement

  • PTO

... machine learning, and high-performance computing for one or more of the following: (1) ... Postdoctoral positions are paid on a step schedule per union contract and salaries will be ...

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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.

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Machine Learning Postdoc jobs near you
Infographic showing various Machine Learning Postdoc job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Postdoctoral Associate

Baylor College of Medicine

Houston, TX • On-site

Full-time

Re-posted 21 days ago

Baylor College of Medicine rating

8.0

Company rating: 8.0 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

188th of 619 rated colleges and universities

Job description

Summary

Postdoctoral positions in cheminformatics are available in the Zhi Tan laboratory at Baylor College of Medicine (Houston, TX), an interdisciplinary group using deep learning, computational chemistry, medicinal chemistry, chemical biology, and molecular cell biology to develop novel therapeutics to tackle complex diseases such as cancers. Postdoctoral Associate with a proven track record in developing open-source machine learning, deep learning, or cheminformatics tools.

Baylor College of Medicine typically follows similar to the NIH stipulated stipend guidelines for Postdoctoral Associates.

Job Duties
  • Plans, directs and conducts research experiments.
  • Develops research techniques and perform applications required for specific research projects.
  • Conducts literature searches and summarize information in an appropriate format for a particular study.
  • Documents results of experiments and reports to principal investigators. 
  • Performs other job-related duties as assigned.
Minimum Qualifications
  • MD or Ph.D. in Basic Science, Health Science, or a related field.
  • No experience required.
Preferred Qualifications
  • Doctoral Degree in Computational Chemistry, bioinformatics, computational biology, or related discipline. Experience may not be substituted in lieu of degree.
  • Experience in cheminformatics software development.
  • Experience in developing machine learning, deep learning tools, especially with application in drug discovery.
  • Experience with high performance computing environment (HPC) / cluster job submission.
  • Knowledge of statistical methods, data science algorithms, scientific and numerical computation.
  • Familiarity with common Python tools including Pandas, Numpy, Scipy, Django, RDKit.
  • Proficiency in coding and debugging in Pytho.
  • Strong knowledge and experience with relational databases (e.g. Oracle, SQL, MySQL).
  • Comfortable working in a Linux environment.
  • Experience with data processing pipelines and data analysis.
  • Excellent communication skills with a diverse team of biological and chemical scientists.
  • Experience with development of open-source computational tools (machine learning, deep learning, cheminformatics), especially with application in drug discovery.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.

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