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Summer Training Ai Models Jobs (NOW HIRING)

Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency ...

You will play a pivotal role in training AI models,ensuring the accuracy and relevance of Arabic content generated byAI. This position allows for flexible scheduling, and yourcontributions will ...

The role involves building a next-generation ML model training platform and optimizing training systems for advanced AI models and hardware platforms. Responsibilities : • Build and maintain highly ...

You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Arabic content generated by AI. This position allows for flexible scheduling, and your contributions will ...

You will play a pivotal role in training AI models, ensuring the accuracy and relevance of Arabic content generated by AI. This position allows for flexible scheduling, and your contributions will ...

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What is the difference between Summer Training Ai Models vs Data Analyst?

AspectSummer Training Ai ModelsData Analyst
Required CredentialsBasic knowledge of AI, programming, and data handlingDegree in statistics, mathematics, or related field
Work EnvironmentInternship projects, training programs, labsOffice settings, data analysis teams
Industry UsageAI development, machine learning projectsBusiness insights, reporting, data visualization

Summer Training Ai Models focuses on training students in AI and machine learning techniques through internships, while Data Analysts analyze data to generate insights for businesses. Both roles require analytical skills but differ in their focus—training vs. applying data analysis in real-world scenarios.

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Infographic showing various Summer Training Ai Models job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 16% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

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 25 days ago


New York University rating

8.5

Company rating: 8.5 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

80th of 618 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.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1831