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Machine Learning Data Associate Jobs in California

Jobright.ai

Mid Level Data Scientist

San Francisco, CA · On-site

... Machine Learning, Data Science, or a related field Expert in SQL and Python or R 3+ years of industry experience Robust understanding of statistical and machine learning methods Preferred Background ...

New

Rule14

Data Scientist Machine Learning

Santa Monica, CA · On-site

$75K - $100K/yr

As a Data Scientist Machine Learning, you will work within a small data science team focusing on predictive modeling, natural language processing, computer vision, recommender systems, and OCR ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

The Machine Learning Platform Technology team is building groundbreaking technology for search ... Our infrastructure and research for data curation form the backbone of Apple Intelligence. It ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$110K - $152K/yr

Perform data preprocessing, feature engineering, model evaluation, and validation. * Collaborate ... Associate II $165,000 - $195,000 Disclaimer: This in no way states or implies that these are the ...

The Marlin Alliance

Sr Machine Learning Engineer

San Diego, CA · On-site

$110K - $152K/yr

Perform data preprocessing, feature engineering, model evaluation, and validation. * Collaborate ... Associate II $165,000 - $195,000 Disclaimer: This in no way states or implies that these are the ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

$216K - $324K/yr

The Machine Learning Platform Technology team is building groundbreaking technology for search ... Our infrastructure and research for data curation form the backbone of Apple Intelligence. It ...

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All JobsMachine Learning Data Associate JobsMachine Learning Data Associate Jobs in California

Machine Learning Data Associate information

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

As of Sep 12, 2026, the average hourly pay for machine learning data associate in California is $18.49, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $19.71 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 in California are hiring for Machine Learning Data Associate jobs?

Cities in California 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 California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $38,464 per year, or $18.5 per hour.

Machine Learning Engineer - Mountain View, CA

Mountain View, CA • On-site

Atoms
Specialized Design Services • 11 - 50 employees
Learn more about Atomsexternal

Full-time

Re-posted 13 days ago

Job description

Job Summary:
Atoms is building the machines that power the next era of progress. As a Machine Learning Engineer, you'll be integral in developing state-of-the-art AI intelligence engines and applications for the food industry, utilizing advanced machine learning methodologies to solve complex challenges.
Responsibilities:
• Leverage cutting-edge machine learning and statistical methodologies, including large language models (LLMs), deep learning, and graph neural networks, to address diverse challenges, including areas such as AI agents, order logistics prediction and optimization, robotics automation, recommendation systems, knowledge graph building and mining, etc
• Develop and deploy robust, low-maintenance applied machine learning solutions in a production environment.
• Create onboarding codelabs, tools, and infrastructure to democratize access to machine learning resources.
• Collaborative Teamwork: Work closely with a team to enhance and support technology
• Innovation: Drive innovation within the team and support CSS’ technological advancements
Qualifications:
Required:
• Bachelors degree required
• Deep knowledge and experience with at least one ML model: LLMs, GNN, Deep Learning, Logistic Regression, Gradient Boosting trees, etc.
• High energy rapid software development, iterating and pivoting quickly
• Strong ability to design and create long-lasting architecture from scratch and evolve existing systems
• Proficient in Python
• Experience with data analysis and visualization
• Strong communication and presentation skills
Preferred:
• Advanced degree (PhD or Master) in Computer Science, Machine Learning, Data Mining, Statistics, or related technical field with preferred 3+ years of relevant experience
• Working knowledge in one or more of the following: generative AI, data mining, information retrieval, advanced statistics or natural language processing, computer vision, etc
• Familiarity with Java/Go
Company:
Atoms is a robotics startup that develops industrial robotics and physical AI systems to automate tasks across various industries. Founded in 2016, the company is headquartered in Los Angeles, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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