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Weekend Machine Learning Postdoc Jobs in New York

New York University

POSTDOCTORAL ASSOCIATE

New York, NY · On-site

$78K/yr

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering The Chemical ... machine learning. Expectations Candidates will be responsible for: * Developing multi-scale ...

Mount Sinai Hospital

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

... researchers to join our team as Postdoctoral Scholars to work on NIH-funded research in ... A major component of this work will rely on applying machine learning methods to large-scale ...

New York University

Post Doctoral Associate

New York, NY · On-site

$64K/yr

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering The Department ... of machine learning and AI. A strong record of publications and communication skills are also ...

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Weekend Machine Learning Postdoc information

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 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 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 most commonly searched types of Machine Learning Postdoc jobs in New York? The most popular types of Machine Learning Postdoc jobs in New York are:
What are popular job titles related to Weekend Machine Learning Postdoc jobs in New York? For Weekend Machine Learning Postdoc jobs in New York, the most frequently searched job titles are:
What job categories do people searching Weekend Machine Learning Postdoc jobs in New York look for? The top searched job categories for Weekend Machine Learning Postdoc jobs in New York are:
What cities in New York are hiring for Weekend Machine Learning Postdoc jobs? Cities in New York with the most Weekend Machine Learning Postdoc job openings:
Weekend Machine Learning Postdoc jobs near you
Infographic showing various Weekend Machine Learning Postdoc job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution.
Postdoctoral researcher in AI for Science in M2LInES - Generative Models for Dynamical Systems (NYU

Postdoctoral researcher in AI for Science in M2LInES - Generative Models for Dynamical Systems (NYU

New York University

New York, NY • On-site

$62K - $94K/yr

Full-time

Re-posted 18 days ago

New York University rating

8.3

Company rating: 8.3 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

105th of 552 rated colleges and universities

Job description

Description
M2LInES is seeking a full-time Postdoctoral Researcher to join our team at NYU Courant Institute School of Mathematics, Computing, and Data Science. In collaboration with Profs Carlos Fernandez-Granda, Joan Bruna, Laure Zanna, the successful candidate will focus on developing generative machine learning models for complex dynamical systems for probabilistic forecasts.
The postdoc will be expected to lead independent research directions while collaborating with a team composed of domain scientists, experts in climate physics and modeling, and AI, as part of the international project, M2LInES https://m2lines.github.io.
The position, available immediately, is a full-time appointment, initially for one year, with the possibility of renewal for 2 years, subject to satisfactory performance and available funding.
In compliance with NYU's Pay Transparency Act, the annual base salary range for this position is $62,500 - $94,000. NYU considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer quality, as well as market and organization considerations.
Qualifications
Qualifications:
  • Education: Ph.D. in machine learning, computer science, engineering, physical science or related technical discipline.
  • Experience:
    • Expertise in developing and training AI models
    • Proficiency in Python
    • Experience with HPC (GPUs preferred)
  • Related Skills and Other Requirements
    • Ability to work at the interface of AI and science/engineering problems
    • Ability to lead, develop, and contribute to multiple projects in a fast-paced environment;
    • Ability to work independently and collaboratively as part of an interdisciplinary team;
    • Outstanding written and oral communication skills
    • Technical and scientific curiosity
    • A solid record of relevant publications and software appropriate to their career stage

Application Instructions
For full consideration, applicants should submit via Interfolio, the following by April 20th (Earlier applications are strongly encouraged):
  • a cover letter (no more than 2 pages) detailing 1) their research experience, 2) future research plans and how they would fit our project, and 3) available start date,
  • a Curriculum Vitae (no more than 2 pages)
  • A list of publications and software repositories
  • 3 confidential letters of recommendation.

Applications are reviewed only if you have fulfilled the requirements above, and submitted to Interfolio.
For additional information, please contact m2lines@nyu.edu.

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About New York University

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Since its founding in 1831, NYU has been an innovator in higher education, reaching out to an emerging middle class, embracing an urban identity and professional focus, and promoting a global vision that informs its 20 schools and colleges. Today, that trailblazing spirit makes NYU one of the most prominent and respected research universities in the world, featuring top-ranked academic programs and accepting fewer than one in eight undergraduates. Anchored in New York City and with degree-granting campuses in Abu Dhabi and Shanghai as well as 12 study away sites throughout the world, NYU is a leader in global education, with more international students and more students studying abroad than any other US university.

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Year founded

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