1

Machine Learning Data Associate Jobs in Los Angeles, CA

Machine Learning Engineer II

Los Angeles, CA ยท On-site +1

$105K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will work closely with product, engineering, data, and platform partners to translate product opportunities into machine learning solutions, run experiments, and help bring models from ...

Sr. Data Scientist

Irvine, CA ยท On-site

$114K - $220K/yr

  • Medical

  • Retirement

  • PTO

Requisition ID: 77724 Description Skyworks Solutions is seeking a Machine Learning and Data Engineer to join our rapidly growing AI/ML team in Irvine, CA. This is a highly technical, hands-on role ...

Machine Learning Engineer

Huntington Beach, CA ยท On-site

$120K - $160K/yr

  • Medical

  • Life

  • Retirement

As a Machine Learning Engineer, you will own and scale the training, data, and edge-inference backbone that every vision and multi-sensor model on our product lines depends on for detection, tracking ...

Sr. Data Scientist

Irvine, CA ยท On-site

$114K - $220K/yr

  • Medical

  • Retirement

  • PTO

Requisition ID: 77724 Description Skyworks Solutions is seeking a Machine Learning and Data Engineer to join our rapidly growing AI/ML team in Irvine, CA. This is a highly technical, hands-on role ...

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning ... This role partners closely with Data Scientists, Data Engineers, and Analytics stakeholders to ...

Staff Machine Learning Engineer

El Segundo, CA ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Cross-functional partnerships with Product, Data Engineering, Analytics, and Business stakeholders to solve high-impact problems What makes this role exciting * You'll work on machine learning ...

Sr Machine Learning Engineer

Irvine, CA ยท On-site

$112K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning ... This role partners closely with Data Scientists, Data Engineers, and Analytics stakeholders to ...

Machine Learning Engineer

Huntington Beach, CA ยท On-site

$120 - $185/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We're looking for a Machine Learning Engineer to train custom models using our internal data. This work spans design generation, cost estimation, evaluating the complexity and difficulty of a given ...

Sr Machine Learning Engineer

Irvine, CA ยท On-site

$112K - $154K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role partners closely with Data Scientists, Data Engineers, and Analytics stakeholders to ... Help productionize machine learning models and data pipelines that support customer analytics ...

Showing results 41-60

Machine Learning Data Associate information

See Los Angeles, CA salary details

$10

$20

$33

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

As of Aug 15, 2026, the average hourly pay for machine learning data associate in Los Angeles, CA is $20.19, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $21.49 per hour, depending on experience, location, and employer.

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.

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 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 much do machine learning data associates make?

Machine Learning Data Associates typically earn between $40,000 and $70,000 annually, depending on experience, location, and the complexity of data tasks. Entry-level positions may start lower, while experienced associates working with large datasets or specialized tools can earn higher salaries.

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, with opportunities for skill development and career growth in the tech industry.

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 cities near Los Angeles, CA are hiring for Machine Learning Data Associate jobs?

Cities near Los Angeles, CA with the most Machine Learning Data Associate job openings:

Infographic showing various Machine Learning Data Associate job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $41,995 per year, or $20.2 per hour.

Machine Learning User Research Scientist (Ph.D. required)

Exponent Inc.

Los Angeles, CA โ€ข On-site

Full-time

Retirement

Re-posted 29 days ago


Job description

Exponent is the only premium engineering and scientific consulting firm with the depth and breadth of expertise to solve our clientsโ€™ most profoundly unique, unprecedented, and urgent challenges.  

Our vision is to engage multidisciplinary teams of science, engineering, and regulatory experts to empower clients with solutions that create a safer, healthier, more sustainable world. For over five decades, we've connected the lessons of past failures with tomorrow's solutions to advise clients as they innovate technologically complex products and processes, ensure the safety and health of their users, and address the challenges of sustainability.  

Join our team of experts with degrees from top programs at over 500 universities and extensive experience spanning a variety of industries. At Exponent, youโ€™ll contribute to the diverse pool of ideas, talents, backgrounds, and experiences that drives our collaborative teamwork and breakthrough insights. Plus, we help you grow your career through mentoring, sponsorship, and a culture of learning. Thanks for your interest in joining our team! 

Key statistics: 

  • 950+ Consultants 
  • 640+ Ph.D.s 
  • 90+ Disciplines 
  • 30+ Offices globally 

We are currently seeking a Ph.D. level Machine Learning User Research Scientist for our Data Sciences Practice in Los Angeles, CA. In this role, you will work as part of a team to plan and execute global data collection efforts, utilize and improve next-generation products, and optimize internal and external programs to support clients in the consumer electronic industry.


  • Supporting a range of consulting activities related to large-scale local and global programs to build custom datasets for machine learning algorithms including protocol development, data collection, data management, and analysis
  • Providing operational support for prototype hardware and software systems including system validation and troubleshooting
  • Actively solving technical and logistical problems in a fast-paced environment
  • Creating and leading ad hoc interdisciplinary teams comprised of consultants from Data Sciences, Human Factors, Health Sciences, and Engineering Sciences
  • Developing data analysis and visualization tools related to project management, demographics, and human-centered data
  • Developing and maintaining client relationships

  • Ph.D. in Electrical Engineering, Computer Engineering, Physiology, Human Factors, or a related engineering/scientific field (such as Applied Mathematics, Computer Science, Cognitive Science, Applied Physics, Industrial Engineering, Mechanical Engineering, Civil Engineering, or Robotics)
  • Ability to take an ambiguous question, use data to draw insights, and convey the results to a wide range of audiences
  • Demonstrated experience and expertise in one or more of the following areas:
    • Advanced sensing technology
    • Networking data analysis and visualization
    • Designing and executing user research studies with human subjects, using appropriate quantitative and qualitative methods to produce strategic and actionable insights that inform design and development
    • Experience in programming or scripting languages like Python, Shell, Java, Perl, MATLAB
    • Experience in instrumentation, data acquisition, and /or data processing
    • Operations optimization
    • Machine learning data set design or optimization
    • Dynamic system modeling and control
  • Experience with human subjects research or direct collection of large experimental data sets to support the development of machine learning or artificial intelligence algorithms
  • The desire to work with a diverse set of clients and engage in work outside of the traditional data science field
  • Strong practical engineering ability combined with leadership and project management skills
  • Excellent verbal and written communication skills
  • Ability to work independently and in multidisciplinary teams
  • Ability to travel to a variety of global locations to support project work (up to 40% travel)
  • Presently legally authorized to work in the United States; no immigration sponsorship or processing required 

Applicants are encouraged to submit a CV (Curriculum Vitae) with publications (feel free to include publications that are in review or pending) [not restricted to 1 page].


To learn more about life at Exponent and our impact, please visit the following links:
https://www.exponent.com/careers/life-exponent
https://www.exponent.com/company/our-impact

Attracting, inspiring, developing, and rewarding exceptional people with diverse backgrounds and expertise are central to our corporate culture. Our diverse team allows us to provide better value to our clients and enjoy an enriched work environment.  

Our firm is committed to offering a variety of programs and resources to support health and well-being. We believe that providing competitive benefits as well as compensation and recognition programs empowers our staff to do work that makes a difference. 


At Exponent, we have found that in-person interactions deepen employee engagement and are crucial for development, for realizing the full potential of our talented and diverse teams, and for building a more inclusive workplace where all have a sense of belonging. In our offices, you can expect a supportive culture and a collaborative, dynamic, multi-disciplinary work environment. Our consultants engage in-person in the office unless they are traveling for client work or other business activities.

We value the rich lives our colleagues enjoy outside of work and understand that work/life balance is critical to our employees and their well-being. Consultants have the autonomy to balance their work and personal schedules so you can meet with clients, visit inspection sites, attend conferences, and make time for priorities outside of work, too. It is this flexible, agile work style and working hours that allow our teams to drive innovation and results in their own ways, while meeting the needs of clients. #LI-Onsite


Our consultants are rewarded for their technical and business contributions and have an opportunity to plan for future success and career growth. Exponent's total compensation plan is consistent with its expectations of the quality and quantity of work performed and with the professional standards set by Exponent. At the Associate and Senior Associate level, total compensation includes base salary, bi-weekly bonuses for high-intensity efforts, annual bonus and 401(k) employer contribution of 7% of base salary.

The base salary range for this position is dependent on experience and capabilities which will be assessed during the interview process.


USD $130,000.00 - USD $140,000.00 /Yr.

Access benefits information on our Life@Exponent page:  https://www.exponent.com/careers/life-exponent 

 
Exponent is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status. 

 
If you need assistance or accommodation due to a disability, you may email us at HR-Accommodations@exponent.com. 


US-CA-Los Angeles