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Machine Learning Data Associate Jobs in New York, NY

Spgi

Machine Learning Engineer

New York, NY · On-site +1

$209K - $250K/yr

Data Management and Storage tools; Deployment and Machine Learning operations; Conducting and publishing Machine Learning research and producing code; Agentic systems, including Large Language Model ...

Sandbar

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $190/hr

This also includes utilizing data science and statistical methods to analyze and optimize machine learning model performance across tasks. Lastly, this includes optimizing the aforementioned systems ...

Visible Hands

Machine Learning Engineer

Manhattan, NY · On-site

$150 - $190/hr

... machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train ... Build the ECAD Data Pipeline: Develop high-performance asset pipelines to convert geometric ...

Root Access, Inc.

Machine Learning Engineer

Manhattan, NY · On-site

$140 - $190/hr

... machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train ... Build the ECAD Data Pipeline: Develop high-performance asset pipelines to convert geometric ...

NYU Langone Health

Data Scientist & Engineer

Manhattan, NY · On-site

$84K - $110K/yr

Design and build data solutions using state-of-the-art machine learning and informatics methods ... Collaborate with associate data scientists, engineers, and clinically trained professionals to test ...

PhysicsX

Machine Learning Engineer

New York, NY · On-site

Working at the intersection of data science and software engineering, you translate R&D and project ... This Role As a Machine Learning Engineer, you'll work closely with our Data Scientists, Simulation ...

Virtusa Corporation

Associate

New York, NY · On-site

We are looking for talented graduates with a Master's degree in Artificial Intelligence, Machine Learning, Data science or related fields. If you know recent graduates who are eager to learn, grow ...

NYULMC

Data Scientist & Engineer

New York, NY · On-site

Design and build data solutions using state-of-the-art machine learning and informatics methods ... Collaborate with associate data scientists, engineers, and clinically trained professionals to test ...

Root Access Inc

Machine Learning Engineer

New York, NY · On-site

... machine learning. Core Responsibilities * Architect Physics Foundation Models: Design and train ... Build the ECAD Data Pipeline: Develop high-performance asset pipelines to convert geometric ...

ExaCare AI

Machine Learning Engineer

Manhattan, NY · On-site

$110 - $150/hr

We are seeking a highly adaptable, creative, and well‑rounded Machine Learning Engineer to join ... Data Lifecycle Management: Lead efforts in dataset creation, augmentation, and curation to build ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in New York, NY

Machine Learning Data Associate information

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$10

$19

$31

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

As of Aug 20, 2026, the average hourly pay for machine learning data associate in New York, NY is $19.40, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.67 per hour, depending on experience, location, and employer.

What is a machine learning data associate?

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 are the key skills and qualifications needed to thrive as a machine learning data associate?

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 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.

How do I become a machine learning data associate?

To become a machine learning data associate, candidates typically need a high school diploma or equivalent, with some roles preferring a bachelor's degree in computer science, data science, or related fields. Relevant skills include data annotation, understanding of machine learning concepts, and proficiency with tools like Excel, SQL, or data labeling platforms. Gaining experience through internships or certifications can improve job prospects in this field.

Is a Machine Learning Data Associate a good job?

A Machine Learning Data Associate role involves preparing and managing data for machine learning models, often requiring skills in data cleaning, annotation, and familiarity with tools like Python or SQL. It can be a good entry-level position for those interested in AI and data science, offering opportunities to develop technical skills and gain industry experience. Compensation and job satisfaction vary depending on the employer and location, but it generally provides a solid foundation for a career in machine learning or data analysis.

What cities near New York, NY are hiring for Machine Learning Data Associate jobs?

Cities near New York, NY 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, NY as of August 2026, with employment types broken down into 10% Internship, 76% Full Time, and 14% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $40,357 per year, or $19.4 per hour.

Senior Director, AI / Machine Learning Data Engineer

Bank Of New York Mellon

Manhattan, NY • On-site

$135K - $178K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

BNY Mellon rating

7.3

Company rating: 7.3 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

125th of 151 rated financial services

Job description


We're seeking a future team member for the role of Senior Director, AI Solution Architect to join Eliza Frontier Solutions, a new team within AI Hub. This role is focused on shaping and delivering frontier AI solutions, defining technical architecture, and turning emerging AI capabilities into secure, scalable products for the firm. The role is located in New York, NY.
In this role, you'll make an impact in the following ways:
  • Lead solution architecture for frontier AI products and identify key business applications within Eliza Frontier Solutions.
  • Review and refine end-to-end technical designs for AI applications and agentic workflows, with a focus on reusability, resilience, observability and commercial viability.
  • Guide technical direction for new projects by aligning user needs, platform strategy and implementation tradeoffs, with a focus on establishing patterns and golden paths.
  • Establish reusable patterns for AI engineering, platform integration, governance, and production readiness.
  • Act as a senior technical leader and advisor for complex cross-functional initiatives and key architecture reviews.

To be successful in this role, we're seeking the following:
  • Strong experience designing and delivering enterprise software, platform and AI solutions in complex environments.
  • Deep understanding of AI engineering patterns, preferably with a background in Machine Learning (deep learning ideal)
  • Hands-on knowledge of AI/ML architecture across training, inference, feature pipelines, model serving, orchestration, agent protocols, etc.
  • Strong platform engineering skills across APIs, microservices, cloud infrastructure, CI/CD, observability, and secure deployment.
  • Experience working with AI platforms, developer platforms, or internal enablement products.
  • Ability to translate complex technical concepts into clear architecture decisions, delivery plans, and business outcomes, and ability to spot flaws and risks in designs.
  • Strong partnership and communication skills across engineering, product, risk, control, and senior stakeholders.
  • Bachelor's degree in computer science, engineering or a related discipline, or equivalent work experience required; advanced degree is beneficial
  • 15+ years of experience in software development required; experience in the securities or financial services industry is a plus.

Preferred technical areas:
  • Applied AI, ML/optimization, orchestration and software architecture, including evaluation frameworks and guardrail design
  • Vector databases, retrieval systems, knowledge graphs, memory-based agents and agentic protocols
  • MLOps, model lifecycle tooling, and production AI observability
  • Experience with AI for engineering practices and agentic SDLC design, with an eye toward production scale and resilience

About Us
At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.
About the Team
At BNY, our culture speaks for itself, check out the latest BNY news at BNY Newsroom & BNY LinkedIn
Here's a few of our recent awards:
  • America's Most Innovative Companies, Fortune, 2025
  • World's Most Admired Companies, Fortune 2025
  • "Most Just Companies", Just Capital and CNBC, 2025

Our Benefits and Rewards:
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life's journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
BNY assesses market data to ensure a competitive compensation package for our employees. The expected base salary for this position when employment commences can be found in the Job Info section at the bottom of the posting.
Base salary offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Base salary is only part of the total rewards package, which may include eligibility for an annual discretionary incentive award. Subject to the terms and conditions of the applicable plans then in effect, eligible employees may enroll in a 401(k) plan as well as participate in Company-sponsored medical, dental, vision, and basic life insurance plans for the employee and the employee's eligible dependents. Eligible employees also may receive other benefits (including various paid time off benefits, such as vacation and sick time), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.
If hired, the employee will be in an "at will" position and the Company reserves the right to modify base salary (as well as any other discretionary payments or compensation programs) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

What BNY Mellon employees say

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About BNY Mellon

Sourced by ZipRecruiter

BNY Mellon is a global investments company dedicated to helping its clients manage and service their financial assets throughout the investment lifecycle. Whether providing financial services for institutions, corporations or individual investors, BNY Mellon delivers informed investment and wealth management and investment services in 35 countries. As of Dec. 31, 2021, BNY Mellon had $46.7 trillion in assets under custody and/or administration, and $2.4 trillion in assets under management. BNY Mellon can act as a single point of contact for clients looking to create, trade, hold, manage, service, distribute or restructure investments. BNY Mellon is the corporate brand of The Bank of New York Mellon Corporation (NYSE: BK). Additional information is available on www.bnymellon.com . Follow us on Twitter @BNYMellon or visit our newsroom at www.bnymellon.com/newsroom for the latest company news.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1784

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