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Part Time Machine Learning Postdoc Jobs (NOW HIRING)

They will gain an understanding of the retail business by learning and completing skill level ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

They will gain an understanding of the retail business by learning and completing skill level ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

They will gain an understanding of the retail business by learning and completing skill level ... Gain experience and exposure to hand sewing and machine sewing projects. * Experience the art of ...

RESEARCH SCHOLAR

New York, NY Β· On-site

$27/hr

Description Part-Time Research Scholar Biomedical Engineering New York University Biomechatronics ... Develop and evaluate models in machine learning and reinforcement learning * Publish papers in top ...

Postdoctoral Fellows in the SSBS teach graduate courses within a programmatic core discipline as ... Exercise academic freedom in teaching course content and achieving learning outcomes in accordance ...

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Part Time Machine Learning Postdoc information

What is a part time machine learning postdoc?

A Part Time Machine Learning Postdoc is a researcher who holds a postdoctoral position in the field of machine learning, but works fewer hours than a standard full-time appointment. These roles typically involve conducting advanced research, publishing papers, and contributing to academic or industry projects while allowing for flexibility in work hours. Such positions are ideal for those who may have other commitments, such as teaching, consulting, or personal responsibilities, and still want to further their research careers. The expectations and benefits may differ from full-time roles, but they offer valuable experience and networking opportunities in the rapidly evolving field of machine learning.

What are the key skills and qualifications needed to thrive as a part time machine learning postdoc?

To thrive as a Part Time Machine Learning Postdoc, you need a Ph.D. in a relevant field, strong research experience, and deep understanding of machine learning algorithms and statistical methods. Proficiency with programming languages like Python, ML frameworks (e.g., TensorFlow, PyTorch), and experience with data analysis tools is crucial. Excellent problem-solving, effective communication, and time management skills help you balance research demands and collaboration. These skills ensure impactful contributions to research projects, efficient workflow, and successful dissemination of findings.

How does working part-time as a machine learning postdoc typically impact collaboration with research teams and project timelines?

Part-time Machine Learning Postdocs often collaborate closely with both faculty and full-time researchers, which requires clear communication and proactive scheduling to ensure smooth progress on shared projects. Balancing part-time hours may mean prioritizing specific tasks and being especially organized to keep projects on track. Many teams accommodate flexible work arrangements, but it's crucial to set expectations around availability and deliverables. Regular check-ins and use of collaborative tools can help maintain strong connections with the team and ensure that research milestones are met.

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

AspectPart Time Machine Learning PostdocPart Time Data Scientist
Required CredentialsPhD in Machine Learning, Computer Science, or related fieldBachelor's or Master's in Data Science, Computer Science, or related field; often prefers experience
Work EnvironmentAcademic research settings, universities, research labsIndustry companies, startups, corporate analytics teams
Employer & Industry UsageUniversities, research institutions, government agenciesTech firms, finance, healthcare, retail sectors
Common Search & Comparison IntentUnderstanding academic research roles in machine learningApplying machine learning techniques in industry projects

While both roles involve machine learning expertise, a Part Time Machine Learning Postdoc typically focuses on academic research, publishing papers, and advancing theoretical knowledge. In contrast, a Part Time Data Scientist applies machine learning models to solve practical industry problems, often working directly with business data and stakeholders.

More about Part Time Machine Learning Postdoc jobs

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

The most popular types of Machine Learning Postdoc jobs are:

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Infographic showing various Part Time Machine Learning Postdoc job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 74% Full Time, 22% Part Time, and 2% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution.

Part-Time Lecturer - Applied Machine Intelligence (Seattle)

Seattle, WA β€’ On-site

Northeastern University
Colleges, Universities, and Professional SchoolsΒ β€’Β 1 - 5K employees

$1.5K/wk

Part-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 hours ago


Job description

About the Opportunity
About Northeastern:
Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus. Our locations-in Boston; Charlotte, North Carolina; London; Portland, Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; Miami; Oakland; Arlington and the Massachusetts communities of Burlington and Nahant-are nodes in our growing global university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research. Northeastern's comprehensive array of undergraduate and graduate programs- in a variety of on-campus and online formats-lead to degrees through the doctorate in nine colleges and schools. Among these, we offer more than 195 multi-discipline majors and degrees designed to prepare students for purposeful lives and careers.
The College of Professional Studies is one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.
About the Opportunity:
Northeastern University's College of Professional Studies invites applicants for a part-time faculty position to teach Applied Machine Intelligence courses offered within the Master of Professional Studies Analytics program, located on-ground in Seattle, Washington.
Responsibilities:
The Master of Professional Studies in Analytics is looking for part-time faculty teaching courses across the program with special emphasis on applied machine learning, artificial intelligence, and experiential network addressing the business challenges in the industry.
Instructional areas include, but are not limited to, analytics, with expertise in probability and statistics, data exploration, data visualization, and predictive analytics. The Applied Machine Intelligence courses offer a multi-disciplinary, experience-based approach that prepares students to innovate within the rapidly growing field of artificial intelligence. Through courses and projects that focus on applied machine learning, artificial intelligence, data management, data analysis, and data visualization, students learn to address business issues in any industry.
Qualifications:
Minimum qualification: Terminal degree in an aligned discipline and analytics/artificial intelligence industry experience.
Preference for candidates with a Ph.D. in a sciences field or similar.
Demonstration of teaching, coaching, and/or training is required, with a history of successful teaching (online/on ground) at the graduate level is strongly preferred.
Supervision:
This position will report to the Program Lead in the Master of Professional Studies in Applied Machine Intelligence.
Additional Information:
Applicants should submit materials including a letter of interest, vitae, teaching evaluations, and contact information for three professional references. In your cover letter, please discuss how you can support our commitment to fostering an inclusive environment for all faculty, staff, and students.
Northeastern University is an Equal Opportunity, Affirmative Action Educational Institution and Employer, Title IX University. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by the law.
Position Type
Academic
Additional Information
Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.
Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.
All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.
Pay Range:
The per credit rate is $1,529