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Weekend Machine Learning Postdoc Jobs in Fairfax, VA

... postdoctoral scientist to conduct biomolecular research. The researcher will join a ... machine learning to identify odorant signatures. The position provides the opportunity for ...

... machine learning to predict flight outcomes, and optimizing air traffic management processes ... and weekends at times to cover overnight and weekend data modeling needs • Document the FAA ...

In addition, there may be occasional weekend work required. The candidate MUST be a US citizen and ... Develop and implement statistical models, machine learning workflows, and geospatial analytics ...

In addition, there may be occasional weekend work required. The candidate MUST be a US citizen and ... Develop and implement statistical models, machine learning workflows, and geospatial analytics ...

Summary Summary UMIACS invites applications for a Postdoctoral Fellowship focused on the use of ... Demonstrated experience in programming languages (e.g., C/C++/CUDA/Triton) and machine learning ...

Support off-hours deployment such as evening or weekends. Requirements * BS degree with 5+ years of ... The team works alongside business analysts, machine learning engineers, application developers, and ...

Support off-hours deployment such as evening or weekends. Requirements * BS degree with 5+ years of ... The team works alongside business analysts, machine learning engineers, application developers, and ...

Showing results 21-40

Weekend Machine Learning Postdoc information

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 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 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 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.

What are popular job titles related to Weekend Machine Learning Postdoc jobs in Fairfax, VA?

For Weekend Machine Learning Postdoc jobs in Fairfax, VA, the most frequently searched job titles are:

What cities near Fairfax, VA are hiring for Weekend Machine Learning Postdoc jobs?

Cities near Fairfax, VA with the most Weekend Machine Learning Postdoc job openings:

Infographic showing various Weekend Machine Learning Postdoc job openings in Fairfax, VA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution.

Student Research Assistant II _Non-FWS

GW Student Employment Center for Career Services

Washington, DC • On-site, Remote

$19/hr

Full-time

Re-posted 12 days ago


Job description

Position Details
Position Information
Fill out your application carefully and completely, including attaching the correct documents as requested. You will NOT be able to withdraw and reapply if you make a mistake.
Positions may close unexpectedly if they reach a high number of applicants. It is in your best interest to apply promptly to any positions that interest you.
If this position title includes the label On-Campus FWS or Off-Campus FWS, it is for students with a Federal Work Study (FWS) award for the current school year ONLY. Applicants to these positions will be required to verify this by attaching their FWS Program Student Statement as a required document. Do not apply unless you meet this criterion.
Position Title
Student Research Assistant II _Non-FWS
Level of Support
Student Support II
Position Type
Non-FWS
Number of Openings
2
Work Hours
During Standard Business Hours (M-F 8am-5pm)
Wage Per Hour
19
Division/School
Columbian College of Arts and Sciences
Department Name
152501 ADMIN-SCHOOL OF MEDIA & PUBLIC AFFA
Department Bio
A research team from Institute of Data, Democracy and Politics, led by Dr.
Catie Bailard, is seeking 2 research assistants to work on a project conducting an online
behavioral study. The project is an interdisciplinary by nature. Work on this project will
commence as soon as the hiring process is complete and is expected to continue through the
fall semester. Research assistants will work entirely remotely, with regular coordination meetings
held via video conference.
Position Specific Summary
The research assistant will perform research tasks under the guidance of the faculty
lead and postdoc research coordinator. Tasks may include: helping to devise codebooks (annotation schemes), annotating social media content that will be used for supervised machine learning, summarizing relevant literature, compiling lists of related news sources and online content, and compiling keyword search lists.
Special projects or other duties may be assigned related to specific project needs.
Standard Position Description
The student will perform administrative and research tasks with some discretion under direction of faculty member or research coordinator. Tasks may include: assisting with experiments, coding, data entry, data cleaning, and data analysis, preparing research and drafts for articles, reports, and/or presentations. Students may also complete literature reviews, draft summaries, and create graphs and figures. Special projects or other duties may be assigned related to specific departmental/faculty needs.
Professional Outcomes
Critical Thinking, Communication, Teamwork, Technology and Data
Required Qualifications
Some applicable educational, technical, or professional experience required, some training will be provided.
Preferred Qualifications
Seeking a detail-oriented researcher with data analysis and annotation experience, strong communication skills, and an interest in scientific research. Proficiency in office software required; experience in politics, political science, or content analysis coding is a plus.
Posting Detail Information
Job Open Date
08/14/2026
Job Close Date
09/04/2026
Campus Location
Foggy Bottom
Work Type Designation
Remote/Virtual
Hiring Manager Name
Alyse Mier
Special Instructions Summary
EEO Statement
The university is an Equal Employment Opportunity/Affirmative Action (EEO/AA) employer committed to maintaining a nondiscriminatory, harassment-free, diverse work and education environment. The university does not unlawfully discriminate on the basis of protected characteristics or on any other basis prohibited by applicable law in any of its programs, activities, or employment practices.
For more information on this policy and its purpose, please read the Equal Employment Opportunity Policy Statement.
Background Check
The student employee will:
In this position, the student will not perform any functions and/or have access to any financially, safety, or security sensitive items listed above. - Background check not required.