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Entry Level Machine Learning Engineer Jobs in Irvine, CA

Machine Learning Engineer

Aliso Viejo, CA · On-site

$109K - $144K/yr

plaintext Job Title: Lead I JOB SUMMARY Design and develop ML solutions, that will enable intelligent experiences and provide value. Collaboratively work with business, technology, and product teams ...

Senior Machine Learning Engineer

Irvine, CA · On-site

$131K - $173K/yr

Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" We are looking for ...

Senior Machine Learning Engineer

Costa Mesa, CA · On-site

$112K - $154K/yr

You'll collaborate with other engineers and researchers to develop, evaluate, and help deploy vision models for tasks like semantic/instance segmentation and object/damage detection across 2D and 3D ...

Senior Machine Learning Engineer

Costa Mesa, CA · On-site

$110K - $152K/yr

In this role, you will collaborate with engineers and researchers to develop and deploy vision models for tasks like semantic segmentation and object detection across 2D and 3D data. Responsibilities ...

Research Software Engineer

Long Beach, CA · On-site

$215K/yr

Summary The Machine Learning Engineer provides an array of services to support the Department of Machine Learning and its Principal Investigators' research portfolio. High level responsibilities ...

As a pioneer in automated machine learning for edge devices and a subsidiary of TDK Corporation, a ... The Data Engineering Intern supports the development of scalable data systems and infrastructure ...

Showing results 21-40

Entry Level Machine Learning Engineer information

See Irvine, CA salary details

$32.2K

$74.5K

$126.7K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for entry level machine learning engineer in Irvine, CA is $74,453.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,300.00 and $84,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an entry level machine learning engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.

What is an entry level machine learning engineer?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the most commonly searched types of Machine Learning Engineer jobs in Irvine, CA?

The most popular types of Machine Learning Engineer jobs in Irvine, CA are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Irvine, CA?

For Entry Level Machine Learning Engineer jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning Engineer jobs in Irvine, CA look for?

The top searched job categories for Entry Level Machine Learning Engineer jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Irvine, CA with the most Entry Level Machine Learning Engineer job openings:

Infographic showing various Entry Level Machine Learning Engineer job openings in Irvine, CA as of August 2026, with employment types broken down into 16% Internship, and 84% Full Time. Highlights an 72% In-person, 14% Hybrid, and 14% Remote job distribution, with an average salary of $74,453 per year, or $35.8 per hour.

Machine Learning Engineer

Compunnel

Aliso Viejo, CA • On-site

$109K - $144K/yr

Contractor

Posted 20 days ago


Job description

plaintext
Job Title: Lead I
JOB SUMMARY
Design and develop ML solutions, that will enable intelligent experiences and provide value. Collaboratively work with business, technology, and product teams to understand the product objectives and formulate the ML problem, under minimal guidance from Lead II
Key Responsibilities
1. Executes relevant data wrangling activities related to the problem
2. Conduct ML experiments to understand feasibility; building baseline models to solve the business problem
3. Fine tune the baseline model for optimum performance
4. Test Models internally per acceptance criteria from the business
5. Identify areas and techniques to optimize the model based on test results
6. Document relevant artefacts for communicating with the business
7. Work with data scientists to deploy the models.
8. Work with product teams in planning and execution of new product releases.
9. Set OKRs and success steps for self/ team and provide feedback of goals to team members
10. Identify metrics for validating the models and communicate the same in business terms to the product teams.
11. Keep track of the trends and do rapid prototyping to understand the feasibility of utilizing in existing solutions

Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

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