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Associate Machine Learning Jobs in New York (NOW HIRING)

Emonics LLC

Associate AI Engineer

Edison, NJ · On-site

We are looking for an Associate AI Engineer to support the development, integration, testing, and deployment of AI and machine-learning solutions. Responsibilities: * Assist in designing, developing ...

New York University

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 ...

New York University

Research Associate

New York, NY · On-site

$26.37/hr

The Research Associate will be working on developing next-generation signal processing, machine learning and artificial intelligence techniques for analyzing large scale neural data. Specific duties ...

New York University

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 ...

Rutgers University

Post Doc Associate

New Brunswick, NJ · On-site

$67K/yr

It is our strong belief that machine learning, when complemented with an automated workflow ... We are hoping to hire two post doctorial associates for a set of projects. The listed projects are ...

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All JobsAssociate Machine Learning JobsAssociate Machine Learning Jobs in New York

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 Sep 11, 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 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 key skills and qualifications needed to thrive as an associate machine learning engineer?

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 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 most commonly searched types of Machine Learning jobs in New York?

The most popular types of Machine Learning jobs in New York are:

What cities in New York are hiring for Associate Machine Learning jobs?

Cities in New York with the most Associate Machine Learning job openings:

Associate Machine Learning jobs near you

Associate Staff Engineer, Machine Learning

New York, NY

Nagarro
IT Services • 1 - 5K employees
Learn more about Nagarroexternal

Full-time

Re-posted 2 days ago

Nagarro rating

6.6

Company rating: 6.6 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

Job description

Company Description
We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale - across all devices and digital mediums, and our people exist everywhere in the world (18,000+ experts across 33 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
Job Description
By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Were you given the tools to go beyond solving for X? Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.
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