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Machine Learning Assistant Jobs in Anaheim, CA (NOW HIRING)

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... Contribute to the deployment of MLOps processes and techniques * Assist in the development of ...

Model Deployment, Monitoring & Performance * Assist with deploying machine learning models into production environments * Continuously monitor models in production, detecting model drift, and ...

Model Deployment, Monitoring & Performance * Assist with deploying machine learning models into production environments * Continuously monitor models in production, detecting model drift, and ...

Research Engineer

Los Angeles, CA · On-site

$89K - $99K/yr

Under the supervision of the PI, the candidate will assist with data processing, analyzing the data, applying machine learning, generative AI and ensemble integration methods to the datasets, data ...

Data Infrastructure Engineer

Los Angeles, CA · On-site

$115K - $151K/yr

Collaborate with data scientists and machine learning engineers to understand their computational ... * Assist in budget planning and management of cloud resources and other infrastructure expenses.

Associate Data Scientist

Los Angeles, CA

$63K - $64K/yr

Apply statistical analysis and basic machine learning techniques to support forecasting, reporting, and analytical projects. * Assist with NLP and text analysis projects involving customer feedback ...

Associate Data Scientist

Los Angeles, CA · On-site

$63K - $64K/yr

Apply statistical analysis and basic machine learning techniques to support forecasting, reporting, and analytical projects. * Assist with NLP and text analysis projects involving customer feedback ...

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Machine Learning Assistant information

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How much do machine learning assistant jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for machine learning assistant in Anaheim, CA is $18.90, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $20.14 per hour, depending on experience, location, and employer.

What are some common challenges a Machine Learning Assistant may face when supporting data preparation and model training?

Machine Learning Assistants often encounter challenges such as cleaning large, unstructured datasets, identifying and handling missing or inconsistent data, and ensuring data privacy compliance. They also need to communicate effectively with data scientists and engineers to understand project requirements and adapt to evolving priorities. Staying organized and managing multiple tasks simultaneously—such as data preprocessing, feature engineering, and running model experiments—is crucial for success in this role.

What is a Machine Learning Assistant?

A Machine Learning Assistant is a professional who supports the development, implementation, and maintenance of machine learning models and systems. They assist data scientists and engineers by preparing datasets, conducting preliminary data analysis, running experiments, and helping to optimize algorithms. This role often involves coding, testing models, and ensuring the quality and reliability of machine learning solutions. Machine Learning Assistants play a key role in streamlining workflows and enabling faster progress in AI projects.

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

To thrive as a Machine Learning Assistant, a solid background in mathematics, statistics, programming (often Python), and foundational knowledge of machine learning algorithms is essential, typically supported by a relevant degree or coursework. Familiarity with tools like TensorFlow, scikit-learn, Jupyter Notebooks, and version control systems such as Git is commonly required. Strong problem-solving abilities, attention to detail, and the capability to communicate findings effectively are standout soft skills in this role. These skills ensure accurate data analysis, effective model building, and successful collaboration within multidisciplinary teams.
What are the most commonly searched types of Machine Learning jobs in Anaheim, CA? The most popular types of Machine Learning jobs in Anaheim, CA are:
What job categories do people searching Machine Learning Assistant jobs in Anaheim, CA look for? The top searched job categories for Machine Learning Assistant jobs in Anaheim, CA are:
Infographic showing various Machine Learning Assistant job openings in Anaheim, CA as of July 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% In-person job distribution, with an average salary of $39,311 per year, or $18.9 per hour.

Machine Learning Engineer

Turion Space

Irvine, CA

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 20 days ago


Job description

Description
Turion's mission is to build a sustainable future in space. Turion launched its first DROID satellite in June of 2023 to collect non-Earth imagery. As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML/CV solution that are integral to Turion's Space Domain Awareness data products. You will work on integrating those solutions into Turion's infrastructure pipeline with a small ML team that operates at the junction of R&D and deployment.

Key Responsibilities
  • Contribute to the research, design, implementation, and testing of CV and/or AI/ML software
  • Analyze large datasets used for AI/ML model development 
  • Identify opportunities to improve AI/ML model performance and efficiency 
  • Assist in the deployment of AI/ML models onto AWS
  • Contribute to the deployment of MLOps processes and techniques
  • Assist in the development of automated methods for responsible AI monitoring and best practices


Qualifications
Minimum Qualifications:
  • Strong experience in Python 
  • Hands-on experience in prototyping and maturing ML algorithms
  • Comfort working in a fast-paced, self-driven entrepreneurial workplace
  • A degree in Computer Science or a related field. 
Preferred Skills and Experience:
  • Experience working with AWS
  • Experience working with Docker
  • Experience designing and building microservices
  • Experience with Jira or other defect-tracking software
  • Experience building complex systems that have been successfully delivered to customers
ITAR Requirements: 
  • This position may include access to technology and/or software source code that is subject to U.S. export controls. To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158,  or be eligible to obtain the required authorizations from the U.S. Department of State. 

Benefits
  • Health Insurance: Comprehensive medical, dental, and vision coverage.
  • Retirement Plans: Access to a 401(k) plan.
  • Paid Time Off: Generous vacation days, personal days, and holidays to ensure you have time to recharge.
  • Professional Development: Opportunities for ongoing training, workshops, and courses to advance your skills and career growth.
  • Team Building Activities: Regular social events, team outings, and company-sponsored activities to foster a positive work environment.
  • Diverse and Inclusive Culture: A commitment to diversity and inclusion, with initiatives to support a welcoming and equitable work environment.
Turion Space is an Equal Opportunity Employer; employment with Turion Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of Turion’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify the Human Resources Department.