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Machine Learning Assistant Jobs in Los Angeles, CA

Turion Space

Machine Learning Engineer

Irvine, CA

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 ...

Crowe LLP

Machine Learning Engineer

Los Angeles, CA · On-site

$62K - $100K/yr

Write high-quality, production-ready code and assist in code reviews to maintain standards of excellence. * Develop and implement comprehensive testing protocols, including smoke tests and unit tests ...

Layup Parts

Machine Learning Engineer

Huntington Beach, CA · On-site

$120 - $185/hr

We're looking for a Machine Learning Engineer to train custom models using our internal data. This ... Develop models that generate or assist in generating new designs based on historical design data

Crowe LLP

Machine Learning Engineer

Costa Mesa, CA · On-site

$62K - $100K/yr

Write high-quality, production-ready code and assist in code reviews to maintain standards of excellence. * Develop and implement comprehensive testing protocols, including smoke tests and unit tests ...

Layup Parts

Machine Learning Engineer

Huntington Beach, CA · On-site

$120K - $185K/yr

We're looking for a Machine Learning Engineer to train custom models using our internal data. This ... Develop models that generate or assist in generating new designs based on historical design data

Booz Allen Hamilton

Machine Learning Engineer

El Segundo, CA · On-site

$77.60 - $176/hr

As a programmer, you know that machine learning is critical to understanding and processing massive ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

Medium

Senior Machine Learning Engineer

Irvine, CA · On-site

$180 - $215/hr

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

New

FieldAI

Senior Machine Learning Engineer

Irvine, CA

$180K - $215K/yr

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

FieldAI

Senior Machine Learning Engineer

Irvine, CA

$180K - $215K/yr

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

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Machine Learning Assistant information

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How much do machine learning assistant jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for machine learning assistant in Los Angeles, CA is $19.45, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $20.72 per hour, depending on experience, location, and employer.

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?

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 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 are the most commonly searched types of Machine Learning jobs in Los Angeles, CA?

The most popular types of Machine Learning jobs in Los Angeles, CA are:

What are popular job titles related to Machine Learning Assistant jobs in Los Angeles, CA?

For Machine Learning Assistant jobs in Los Angeles, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Assistant jobs in Los Angeles, CA look for?

The top searched job categories for Machine Learning Assistant jobs in Los Angeles, CA are:

What cities near Los Angeles, CA are hiring for Machine Learning Assistant jobs?

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

Machine Learning Assistant jobs near you
Infographic showing various Machine Learning Assistant job openings in Los Angeles, CA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $40,461 per year, or $19.5 per hour.

Machine Learning Engineer

Ascent Developer Solutions

Los Angeles, CA

Full-time

Re-posted 16 days ago

Job description

ROLE SUMMARY 

The Machine Learning Engineer is a major contributor in driving our company's innovation and data-driven decision-making. By harnessing advanced analytics, machine learning, and big data technologies, this role directly impacts strategic business outcomes, revealing actionable insights and predicting trends that shape the future of our operations. Embedded at the intersection of data and strategy, the Data Scientist empowers the organization to navigate complex challenges, optimize performance, and unlock new growth opportunities. 

ESSENTIAL DUTIES 

Data and analysis 

  • Analyze public records and other real estate data using NLP and machine learning techniques to identify patterns and cluster entities. 
  • Develop methods for evaluating and selecting large language models (LLMs) for deployment. 
  • Build predictive models to identify potential borrowers, likelihood of default, and quality/valuations of properties for lending activities. 
  • Identify new business opportunities through tracking competitor trends and keeping management aware of developer lending market trends and insights. 
  • Assist in fostering a culture of test & learn within the company. 

Leadership  

  • Serve as analytics consultant to a broad variety of line-of-business teams. 
  • Partner with technology teams on product changes and impacts on data/performance. 
  • Mentor junior analysts on various data science techniques. 

 QUALIFICATIONS 

  • Bachelor's degree in quantitative field. 
  • 5-7 years of experience in analytical or consulting roles. 
  • Strong data science skills with AI/ML related Python libraries such as PyTorch, TensorFlow, and Keras. Conceptual knowledge of LLM's. 
  • Strong knowledge of statistics, hypothesis testing, and setting up experiments. 
  • Must have deployed several models to production. 
  • Exposure to data engineering skills. 
  • Strong communication and partnership skills, effective cross-department collaboration skills. 
  • Self-starter who can work under limited supervision. 
  • Mentoring skills to help develop junior analysts. 

WORK ENVIRONMENT 

  • This role works on-site from Ascent's Encino office 2 days per week 

THE PAY 

Salary range is $130,000-$150,000 per year, with a discretionary bonus of 20% per year. 

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