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Machine Learning Data Associate Jobs in New York

Hang

Machine Learning Engineer

New York, NY · On-site +1

This person will implement and develop machine learning models to enhance our platform ... Data Analysis: Analyze large datasets to identify trends and patterns, and use this information to ...

Quanta Search

Machine Learning Engineer

Manhattan, NY · On-site

A desire to work with large data sets and apply creative thinking is required. Successful ... Machine Learning Engineers build production grade machine learning algorithms that operate in real ...

Bridgewater Associates

Data Associate

Westport, CT · On-site

About Your Role As a Data Associate, you will help us achieve our mission by owning and deeply ... Interested in learning more about working at Bridgewater? Hear about the experiences of our ...

The New York Times

Machine Learning Scientist

New York, NY · On-site

$121K - $131K/yr

We are a group of machine learning scientists and data analysts that partner with teams across The New York Times. We are looking for a Machine Learning Scientist to join the team and apply machine ...

Point72

Machine Learning Engineer

New York, NY · On-site

Prior experience working in a data driven research environment * Experience with translating ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

Point72

Machine Learning Engineer

New York, NY

Prior experience working in a data driven research environment * Experience with translating ... Experience with machine learning software libraries such as TensorFlow or PyTorch * Experience ...

Bridgewater Associates

Data Associate

Westport, CT · On-site

$16.75 - $21.75/hr

About Your Role As a Data Associate, you will help us achieve our mission by owning and deeply ... Interested in learning more about working at Bridgewater? Hear about the experiences of our ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... You'll build data-driven solutions, as well as effective online and offline strategies to ...

Spotify

Machine Learning Engineer

New York, NY · On-site +1

$170K - $212K/yr

We're looking for a Machine Learning Engineer to help us build systems that more accurately ... You'll build data-driven solutions, as well as effective online and offline strategies to ...

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Machine Learning Data Associate information

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How much do machine learning data associate jobs pay per hour?

As of May 30, 2026, the average hourly pay for machine learning data associate in New York is $20.50, according to ZipRecruiter salary data. Most workers in this role earn between $16.83 and $21.83 per hour, depending on experience, location, and employer.

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

To thrive as a Machine Learning Data Associate, you need strong analytical skills, attention to detail, and a basic understanding of data annotation and labeling processes, often supported by a degree in computer science or a related field. Familiarity with data management tools, annotation platforms, and sometimes scripting languages like Python is typically required. Strong communication, collaboration, and problem-solving abilities help you work efficiently with data science teams and ensure high-quality outcomes. These skills and qualities are crucial for producing accurate datasets that directly impact the effectiveness of machine learning models.

How does a Machine Learning Data Associate typically collaborate with data scientists and engineers within a project team?

As a Machine Learning Data Associate, you play a vital role in supporting data scientists and engineers by annotating, cleaning, and organizing large datasets to ensure high data quality. You'll frequently communicate with team members to clarify labeling guidelines, provide feedback on data inconsistencies, and report any edge cases encountered during annotation. This collaboration ensures that the datasets used for training machine learning models are accurate and comprehensive, directly impacting the success of the project. Expect regular team meetings and ongoing feedback loops to maintain alignment with evolving project requirements.

What are Machine Learning Data Associates?

Machine Learning Data Associates are professionals who support the development of machine learning models by preparing, labeling, and validating data sets. Their work ensures that data used for training algorithms is accurate, consistent, and properly annotated. They may also assist with data cleaning, quality checks, and sometimes basic data analysis tasks. This role is crucial in industries where high-quality labeled data is essential for building effective AI systems.

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

AspectMachine Learning Data AssociateData Analyst
Required SkillsData cleaning, labeling, basic programming, understanding of ML workflowsData interpretation, visualization, statistical analysis
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing, healthcare sectors
Common CertificationsData Science certifications, Python, SQLExcel, Tableau, SQL certifications

The main difference is that Machine Learning Data Associates focus on preparing and labeling data specifically for machine learning models, while Data Analysts interpret data to generate insights for business decisions. Both roles require strong data skills and often overlap, but their primary objectives and work environments differ.

What cities in New York are hiring for Machine Learning Data Associate jobs? Cities in New York with the most Machine Learning Data Associate job openings:
Machine Learning Data Associate jobs near you
Infographic showing various Machine Learning Data Associate job openings in New York as of May 2026, with employment types broken down into 76% Full Time, 23% Part Time, and 1% Contract. Highlights an 96% Physical, 3% Hybrid, and 1% Remote job distribution, with an average salary of $42,639 per year, or $20.5 per hour.
Machine Learning Scientist

Machine Learning Scientist

The New York Times

New York, NY

Other

Posted 24 days ago

Job description

About the Role

The New York Times is a technology company committed to producing the world's most reliable and highest quality journalism. Our ability to do so relies on a talented team of expert technologists who help NYT learn from a tremendous abundance of data unique to this company.

The Algorithmic Recommendations and Audience Data Science team aims to help users discover content across the Times' website, apps and emails by applying algorithms that make use of information about our readers' behavior and our editorial judgment. We also build internal tools for the newsroom to better understand story performance and coverage trends. We are a group of machine learning scientists and data analysts that partner with teams across The New York Times. We are looking for a Machine Learning Scientist to join the team and apply machine learning methods to meet this challenge. You will report to a Lead Machine Learning Scientist, and collaborate with partners across the company.

Responsibilities:

  • You will reframe business and newsroom goals as machine learning tasks that deliver accurate predictions, relevant insights, and optimization

  • You will adapt or develop machine learning algorithms in cases when existing algorithms are insufficient, while implementing simple approaches when appropriate

  • You will implement and deploy machine learning research with robustness and reproducibility, with consideration of risks and trade-offs

  • You will turn models into data products, collaborate with engineering teams, and integrate into processes throughout The Times

  • You will communicate complex ideas in machine learning while collaborating with technical and non-technical colleagues in in engineering, analytics, product management, marketing, editorial, and executive leadership groups

  • Demonstrate support and understanding of our value of journalistic independence and a commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

  • PhD, MS + 2 years experience, or 3+ years work experience in machine learning, statistics, computational social science, applied mathematics, or another quantitative/computational discipline

  • 2+ years experience with open source machine learning or statistical analysis tools

  • 2+ years coding experience in Python

  • 2+ years experience in SQL and manipulating large structured or unstructured datasets for analysis

Preferred Qualifications:

  • 1+ year of experience with recommendation systems, using natural language processing and small and large language models.

  • 1+ years of experience with deep learning architectures, fine-tuning, embeddings and Pytorch or Tensorflow

  • 1+ years of experience translating ambiguous business questions into machine learning problems

  • 1+ years of experience building data products, either internal or consumer-facing

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