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Associate Machine Learning Jobs in New York (NOW HIRING)

Research Associate

New York, NY · On-site

$2.8K - $3.8K/wk

Description FULL TIME RESEARCH ASSOCIATE New York University Tandon School of Engineering Quantum ... The successful candidate will have a demonstrated background in machine learning research as ...

Data Analytics - Associate

New York, NY · On-site +1

$110K - $150K/yr

About the Role iCapital is looking to hire an Analytics Engineer Associate to measurably drive ... Conduct exploratory data analyses, build machine learning models and develop ML infra in Jupyter ...

Data Analytics - Associate

New York, NY · On-site

$110K - $150K/yr

About the Role iCapital is looking to hire an Analytics Engineer Associate to measurably drive ... Conduct exploratory data analyses, build machine learning models and develop ML infra in Jupyter ...

POSTDOCTORAL ASSOCIATE

New York, NY · On-site

$62K - $67K/yr

Description POSTDOCTORAL ASSOCIATE New York University Tandon School of Engineering NYU Tandon ... Conducting advanced research in machine learning and data analytics for power system operation and ...

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Associate Machine Learning information

See New York salary details

$27K

$142K

$348.2K

How much do associate machine learning jobs pay per year?

As of Jun 23, 2026, the average yearly pay for associate machine learning in New York is $142,003.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $196,900.00 per year, depending on experience, location, and employer.

What is the difference between Associate Machine Learning vs Data Scientist?

AspectAssociate Machine LearningData Scientist
Required CredentialsBachelor's degree in CS, Data Science, or related field; some roles may require certifications in ML or AIBachelor's or Master's in CS, Statistics, or related; often requires experience with data analysis and programming
Work EnvironmentEntry-level, team-based projects, focused on supporting ML models and data preprocessingMore autonomous, involved in data analysis, model development, and interpretation
Employer & Industry UsageTech companies, startups, research labs; roles in AI and ML teamsWide range of industries including tech, finance, healthcare, and consulting

While both roles involve working with data and machine learning, an Associate Machine Learning typically focuses on supporting ML projects with less experience, whereas a Data Scientist has broader responsibilities including data analysis, model development, and strategic insights. The roles often overlap but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an Associate Machine Learning Engineer, and why are they important?

To thrive as an Associate Machine Learning Engineer, you need a solid background in mathematics, programming (especially Python), and foundational machine learning concepts, usually supported by a relevant degree. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and experience with data processing libraries and version control systems is typically required. Strong analytical thinking, problem-solving ability, and effective collaboration skills help you stand out in this role. These competencies are essential for developing robust models, working efficiently with teams, and delivering impactful data-driven solutions.

What are some common challenges faced by Associate Machine Learning professionals when transitioning from academic projects to real-world business applications?

Associate Machine Learning professionals often find that moving from academic or theoretical projects to business-focused environments introduces new challenges. Real-world datasets can be messy, incomplete, or imbalanced, requiring additional data cleaning and preprocessing. Moreover, business timelines may require rapid prototyping and iterative model development, which is different from the more open-ended nature of academic research. Collaborating with cross-functional teams such as data engineers, product managers, and business stakeholders is also essential to align models with organizational goals. Adapting to these practical aspects is key to succeeding in an Associate Machine Learning role.

What does an Associate Machine Learning Engineer do?

An Associate Machine Learning Engineer assists in designing, developing, and deploying machine learning models under the supervision of senior engineers. They handle tasks such as data preprocessing, model evaluation, and maintaining machine learning pipelines. Associates often collaborate with data scientists, software engineers, and business teams to ensure that machine learning solutions are integrated effectively into products or services. This role is typically entry-level or early career and is a stepping stone toward more advanced machine learning positions.
What are the most commonly searched types of Machine Learning jobs in New York? The most popular types of Machine Learning jobs in New York are:
What are popular job titles related to Associate Machine Learning jobs in New York? For Associate Machine Learning jobs in New York, the most frequently searched job titles are:
Infographic showing various Associate Machine Learning job openings in New York as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $142,003 per year, or $68.3 per hour.
Research Associate

Research Associate

New York University

New York, NY • On-site

$2.8K - $3.8K/wk

Full-time

Posted yesterday


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 539 rated colleges and universities


Job description

Description
FULL TIME RESEARCH ASSOCIATE
New York University Tandon School of Engineering
Quantum Geometric Intelligence (QGI) Lab at NYU Tandon School of Engineering is seeking to hire a Full time Research Associate to work with Prof. Amine Mohamed Aboussalah.
New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, NY, is deeply committed to excellence in teaching and learning. The Department of Finance and Risk Engineering (FRE) at NYU Tandon School of Engineering is a leader in quantitative finance and applied mathematics education and research, offering innovative courses and fostering strong industry connections.
Expectations
Candidates will be responsible for developing a machine learning prototype model using C++. The successful candidate will have a demonstrated background in machine learning research as exemplified by a strong publication record. Previous experience on C++ is necessary.
Salary range
In compliance with NYC's Pay Transparency Act, the monthly base salary for this full-time position is $2,850-$3,850 depending on the candidate's experience and qualification.
Expected start date is April 1, 2026 This position is expected to be for 4 months.
Qualifications
  • A MS in computer science, engineering, or a related field
  • 3 or more years of experience in machine learning.
  • Experience on C++ required.

Candidates will be required to present eligibility to work in the United States.
Application Instructions
Applicants should submit the following information:
• Cover letter
• Up-to-date CV that includes a complete list of publications,
• Names and contact information for three references.
• Applicants may upload up to two publications or technical reports relevant to their machine learning research experience.
All application materials should be submitted electronically via Interfolio and to: amine.aboussalah@nyu.edu
Review of applications will begin as soon as possible and will continue until the position is filled.

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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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Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

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Year founded

1831