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Machine Learning Data Associate Jobs in Matawan, NJ

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 ...

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 ...

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 ...

NYULMC

Data Science Analyst/Engineer

New York, NY · On-site

Machine learning and deep learning: develop, train, and evaluate advanced machine learning and deep learning models on curated patient data. * Multimodal integration: integrate diverse data types ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in Matawan, NJ

Machine Learning Data Associate information

See Matawan, NJ salary details

$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 Matawan, NJ is $19.36, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $20.62 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 Matawan, NJ are hiring for Machine Learning Data Associate jobs?

Cities near Matawan, NJ with the most Machine Learning Data Associate job openings:

Machine Learning Data Associate jobs near you

Machine Learning Engineer

Point72

New York, NY • On-site

Full-time

Re-posted 8 days ago

Job description

About Cubist
Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
Role/Responsibilities:
We are seeking a Machine Learning Engineer to join the High Frequency Trading Technology team.
This role will apply the latest AI technologies to solve various real-world problems and streamline day-to-day operations, such as creating a production support AI agent that helps monitor production problems and suggest actions.
This role will also work with the AI research group on various projects such as creating synthetic data for training and using MCP agents to streamline research workflow.
Requirements:
  • PhD or PhD candidate in machine learning, computer science or other AI related research fields
  • Experience with sequential modeling and time series forecasting using deep learning
  • Experience with deep neural networks and representation learning
  • Prior experience working in a data driven research environment
  • Experience with translating mathematical models and algorithms into code
  • Proficiency in programming languages such as Python and R
  • Experience with machine learning software libraries such as TensorFlow or PyTorch
  • Experience implementing Agent or Context engineering is strongly preferred
  • Experience with natural language processing technology is strongly preferred
  • Excellent analytical skills, with strong attention to detail
  • Collaborative mindset with strong independent research ability
  • Strong written and verbal communication skills
  • Commitment to the highest ethical standards

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