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Machine Learning Postdoc Jobs in New York (NOW HIRING)

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 ...

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 ...

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

$65K/yr

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering The Department ... machine learning as exemplified by a strong publication record. Previous experience on applied and ...

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Machine Learning Postdoc information

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$24.1K

$124.6K

$234.5K

How much do machine learning postdoc jobs pay per year?

As of Jul 7, 2026, the average yearly pay for machine learning postdoc in New York is $124,629.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,409.00 and $171,643.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Machine Learning Postdoc position, and why are they important?

To thrive as a Machine Learning Postdoc, you need a deep understanding of machine learning algorithms, statistical modeling, and research methodology, typically supported by a completed PhD in a related field. Proficiency with programming languages like Python or R, experience with ML libraries (e.g., TensorFlow or PyTorch), and familiarity with large-scale datasets and cloud computing platforms are important. Strong analytical thinking, effective communication, and the ability to collaborate across multidisciplinary teams are standout soft skills in this position. These qualifications ensure innovative research contributions, successful project execution, and effective dissemination of findings in both academic and applied settings.

What is a Machine Learning Postdoc job?

A Machine Learning Postdoc is a research-focused position typically held after earning a Ph.D. in a related field. It involves conducting advanced research in machine learning, developing new algorithms, and publishing in top-tier conferences and journals. Postdocs often collaborate with faculty, industry partners, and other researchers to advance the state of the art in AI. The role may include mentoring students and contributing to grant proposals. It serves as a bridge between doctoral studies and a long-term academic or industry research career.

What are the typical responsibilities and collaborative aspects of a Machine Learning Postdoc position?

A Machine Learning Postdoc typically conducts original research, develops and tests new algorithms, and contributes to academic publications or patent applications. Daily tasks often involve data analysis, model building, and experimentation using advanced computational tools. Collaboration is key in this role, as postdocs frequently work alongside faculty, graduate students, and external industry partners to advance research objectives. Additionally, they may mentor junior researchers or students, present at conferences, and participate in grant writing or project planning. This mix of independent research and team collaboration fosters both professional growth and impactful scientific advancements.

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 Machine Learning Postdoc jobs in New York? For Machine Learning Postdoc jobs in New York, the most frequently searched job titles are:
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Machine Learning Postdoc jobs near you
Infographic showing various Machine Learning Postdoc job openings in New York as of July 2026, with employment types broken down into 100% Full Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $124,629 per year, or $59.9 per hour.
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

Posted 13 days ago

New York University rating

8.3

Company rating: 8.3 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

97th of 544 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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