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Weekend Machine Learning Postdoc Jobs (NOW HIRING)

The Pennsylvania State University

In particular, the postdoc would be part of the team spanning NASA Goddard, Purdue University, Penn State University, and others to support the project "Machine-Learning to Improve Cycling and ...

The Pennsylvania State University

... informed machine learning architectures to process complex, real-world geodetic and acoustic datasets for subsurface energy applications. The Postdoctoral Scholar will work primarily with Prof.

Freenome

Senior Machine Learning Scientist

Brisbane, CA · On-site

$110.10K - $150.40K/yr

... postdoc or post-PhD industry experience achieving impactful results using relevant modeling ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

Freenome

Senior Machine Learning Scientist

Brisbane, CA · On-site +1

$110.10K - $150.40K/yr

... postdoc or post-PhD industry experience achieving impactful results using relevant modeling ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site +1

$199.68K - $283.50K/yr

... postdoc or post-PhD industry experience achieving impactful results using relevant modeling ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

Freenome

Staff Machine Learning Scientist

Brisbane, CA · On-site

$199.68K - $283.50K/yr

... postdoc or post-PhD industry experience achieving impactful results using relevant modeling ... machine learning, deep learning and complex data modeling. * Practical and theoretical ...

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Weekend Machine Learning Postdoc information

What are the key skills and qualifications needed to thrive as a Weekend Machine Learning Postdoc, and why are they important?

To thrive as a Weekend Machine Learning Postdoc, you need a strong background in machine learning, statistics, and programming, typically supported by a PhD in a relevant field. Experience with tools such as Python, TensorFlow, PyTorch, and data analysis platforms, as well as familiarity with academic research methodologies, is essential. Exceptional problem-solving abilities, self-motivation, and effective communication are vital soft skills for success in research and collaboration. These skills enable you to drive innovative research, efficiently manage independent projects, and contribute meaningful insights to the field.

What are the typical projects and collaboration opportunities for a Weekend Machine Learning Postdoc?

As a Weekend Machine Learning Postdoc, you will often contribute to ongoing research projects, developing and refining machine learning models in collaboration with faculty, graduate students, and occasionally industry partners. While your hours are concentrated on weekends, you’ll typically participate in regular research meetings, code reviews, and may co-author papers or grant proposals. The role provides opportunities to mentor junior researchers and expand your expertise by working on interdisciplinary teams. This structure allows you to make significant research contributions while maintaining flexibility in your schedule.

What is a Weekend Machine Learning Postdoc?

A Weekend Machine Learning Postdoc is a postdoctoral researcher who focuses on machine learning projects and typically works on weekends or has a flexible schedule that includes weekend hours. This role often involves conducting advanced research in machine learning, developing algorithms, publishing papers, and collaborating with academic or industry teams. Weekend postdoc positions may be ideal for those balancing other commitments or seeking non-traditional work hours while continuing their research careers.

What is the difference between Weekend Machine Learning Postdoc vs Weekend Data Scientist?

AspectWeekend Machine Learning PostdocWeekend Data Scientist
Required CredentialsPhD in Computer Science, Machine Learning, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, consulting firms
Employer & Industry UsageResearch institutions, universities, academic grantsTech companies, finance, healthcare, retail
Common Search & ComparisonYesYes

The Weekend Machine Learning Postdoc typically involves academic research with a focus on advancing machine learning theories and models, often requiring a PhD. In contrast, a Weekend Data Scientist applies data analysis and machine learning techniques in industry settings, often with a bachelor's or master's degree. Both roles may work on similar projects but differ mainly in their environment, credentials, and end goals.

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What cities are hiring for Weekend Machine Learning Postdoc jobs? Cities with the most Weekend Machine Learning Postdoc job openings:
What are the most commonly searched types of Machine Learning Postdoc jobs? The most popular types of Machine Learning Postdoc jobs are:
What states have the most Weekend Machine Learning Postdoc jobs? States with the most job openings for Weekend Machine Learning Postdoc jobs include:
What job categories do people searching Weekend Machine Learning Postdoc jobs look for? The top searched job categories for Weekend Machine Learning Postdoc jobs are:
Weekend Machine Learning Postdoc jobs near you
Infographic showing various Weekend Machine Learning Postdoc job openings in the United States as of May 2026, with employment types broken down into 1% Locum Tenens, 53% Full Time, 41% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, and 16% Remote job distribution.

Post Doctoral Scholar - AI and Machine Learning

Penn State University

University Park, PA • On-site

Full-time

Posted 3 hours ago

Penn State University rating

8.0

Company rating: 8.0 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

147th of 530 rated colleges and universities

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.
POSITION SPECIFICS
The Department of Meteorology and Atmospheric Science and Institute for Computational and Data Sciences (ICDS) at Penn State is seeking a postdoctoral scholar in the area of artificial intelligence (AI) and machine learning (ML) applied to numerical weather prediction and data assimilation. In particular, the postdoc would be part of the team spanning NASA Goddard, Purdue University, Penn State University, and others to support the project "Machine-Learning to Improve Cycling and Forecasts with GEOS and Expedite the Evaluation of Assimilating Observations from New Instruments," supported by the NASA AIST program. The project involves the training, tuning, and evaluation of computer vision based ML surrogate models for the atmosphere and sea surface as part of the ensemble component of the NASA GEOS hybrid ensemble data assimilation system. Evaluations based on principles from machine learning, data assimilation, predictability, and atmospheric and oceanic phenomena on high performance computing (HPC) environments will be important for the project. Explorations of additional ways to hybridize data assimilation and machine learning are possible. The postdoc would join a cohort of AI/HPC postdocs affiliated with ICDS, which would provide opportunities to engage in an interdisciplinary community and interact with the different faculty co-hires and researchers in the institute applying these techniques to various disciplines.
Required Qualifications
  • A Ph.D. in a discipline related to this work, including Meteorology and Atmospheric Science, Computer Science, Engineering, Mathematics, Statistics is required by the start date. Must provide proof of a scheduled dissertation defense date for a PhD by the time of offer.
  • Strong computer programming skills and the ability to work independently on complex problems.
  • Expertise in applying and evaluating data assimilation and/or machine learning techniques.
  • Ability to work effectively as part of a team, with strong written and oral communication skills, and motivation and ability to meet project timelines.

Preferred Qualifications
  • Previous experience training and evaluating deep learning emulators for high dimensional geophysical systems.
  • Previous experience using ensemble and hybrid variational data assimilation systems.
  • Expertise with the predictability of atmospheric and earth system predictions.

Preferred Start Date: June 1, 2026
The position would be for one year, with the possibility of renewal for a second year pending good performance and availability of funds.
Application Instructions
Interested candidates should submit a cover letter describing their interest in the position, a CV, and names & contact information of up to three references.
Questions regarding the position may be directed to Dr. Steven Greybush, sjg213@psu.edu.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
BENEFITS
Penn State provides a competitive benefits package for full-time employees designed to support both personal and professional well-being.
For more detailed information, please visit our Benefits Page. (Note: For Postdoctoral benefits, please see our Postdoctoral Benefits page.)
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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