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Machine Learning Postdoc Jobs in Missouri (NOW HIRING)

Washington University of St. Louis

The postdoc will also have the opportunity to work on other topics related to air quality modeling, remote sensing, and machine learning within the scope of ACAG. The postdoc will have various ...

Jobgether

PhD, postdoctoral, academic research, or industry research experience in machine learning or a related field is particularly relevant, though equivalent research backgrounds may also be considered.

Washington University of St. Louis

Information on being a postdoc at Washington University in St. Louis can be found at Lab website ... Biomarker identification through the use of machine learning and AI approaches. * Integration of ...

Washington University of St. Louis

... including machine and deep learning methods. There will be opportunities for development of new ... The postdoc will work directly with Dr. Spencer on a day-to-day basis, allowing for close ...

Washington University of St. Louis

Develop numerical simulation, data-analysis, and machine-learning/automated rule-extraction ... At least two years of postdoctoral or equivalent post-Ph.D. research experience in fluid mechanics ...

Saint Louis University

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

Postdoctoral Fellow - Computational Biology / Bioinformatics Focus:Multi-omics and Longitudinal ... Develop and apply statistical and machine-learning models(e.g., mixed-effects models, survival ...

Saint Louis University

Post Doctoral Fellow

Saint Louis, MO · On-site

$47K - $64K/yr

Postdoctoral Fellow - Computational Biology / Bioinformatics Focus: Multi-omics and Longitudinal ... Develop and apply statistical and machine-learning models (e.g., mixed-effects models, survival ...

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Machine Learning Postdoc information

See Missouri salary details

$19.2K

$99.3K

$186.8K

How much do machine learning postdoc jobs pay per year?

As of Sep 8, 2026, the average yearly pay for machine learning postdoc in Missouri is $99,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,510.00 and $136,727.00 per year, depending on experience, location, and employer.

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 Missouri?

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

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

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

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

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Machine Learning Postdoc jobs near you
Infographic showing various Machine Learning Postdoc job openings in Missouri as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $99,277 per year, or $47.7 per hour.

Postdoctoral Scholar - University of Southern California Information Sciences Institute

Complex Systems Society

California, MO • On-site

$60 - $80/hr

Other

Posted 6 days ago

Job description

Postdoctoral Scholar - University of Southern California Information Sciences Institute

The successful candidate will work on a federally sponsored project together with a team of experts in machine learning, computer science, and social sciences, in collaboration with Emilio Ferrara, Kristina Lerman, and Aram Galstyan.

The University of Southern California (USC), founded in 1880, is located in the heart of downtown L.A. and is the largest private employer in the City of Los Angeles. As an employee of USC, you will be a part of a world-class research university and a member of the “Trojan Family,” which is comprised of the faculty, students and staff that make the university what it is.

This position is located in Marina del Rey, CA

Information Sciences Institute (ISI), part of the Viterbi School of Engineering at USC, seeks applicants for a Postdoctoral Researcher position with a focus on modeling and forecasting with multivariate and heterogeneous time series data. The positions are for one year, with possibility of a renewal for two more years.

The successful candidate will work on a federally sponsored project together with a team of experts in machine learning, computer science, and social sciences. The central objective is to develop an algorithmic framework for analyzing multivariate time-series data, and generating forecasts about various events of interests from two broad categories: Socio-political and societal events (elections, epidemics, etc.); and cybersecurity events (large scale security breaches, new viral malware, etc.). The successful applicant is expected to develop and validate novel forecasting algorithms based on heterogeneous and high-dimensional data streaming from various sources. This research is intrinsically inter-disciplinary and qualified applicants with PhD’s in any mathematical field will be considered, although the preference will be given to applicants with background/experience in machine learning and/or time-series modeling/forecasting.

The University of Southern California values diversity and is committed to equal opportunity in employment.

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