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Data Scientist Machine Learning Jobs in Irvine, CA

REVOLVE GROUP

Data Scientist

Cerritos, CA · On-site

$90 - $120/hr

Data Scientist Regular Full-Time Cerritos, CA, US Salary Range: $90,000.00 To $120,000.00 Annually ... Knowledge of quantitative methods in statistics and machine learning * Intense intellectual ...

REVOLVE

Data Scientist

Cerritos, CA · On-site

$90K - $120K/yr

Main purpose of the Data Science Analyst role: Use a diverse skill sets across math and computer ... Knowledge of quantitative methods in statistics and machine learning * Intense intellectual ...

Boot Barn

Data Scientist

Irvine, CA · On-site

$95K - $120K/yr

The Data Scientist will play a critical role in building the foundation of Data Science division, with a focus on developing advanced machine learning and assisting in generative AI solutions. This ...

Boot Barn

Data Scientist

Irvine, CA · On-site

$95K - $120K/yr

The Data Scientist will play a critical role in building the foundation of Data Science division, with a focus on developing advanced machine learning and assisting in generative AI solutions. This ...

REVOLVE

Senior Data Scientist

Cerritos, CA · On-site

$120K - $150K/yr

Main purpose of the Senior Data Scientist role: Use a diverse skill sets across math and computer ... Knowledge of quantitative methods in statistics and machine learning * Intense intellectual ...

Skyworks

Sr. Data Scientist

Irvine, CA · On-site

$114K - $220K/yr

Sr. Data Scientist Posting Start Date: 6/3/26 Job Location(s): Irvine If you are looking for a ... Requisition ID: 77724 Description Skyworks Solutions is seeking a Machine Learning and Data ...

Pwc

AI & GenAI Data Scientist - Manager

Irvine, CA

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

Autodesk

Data Scientist, FP&A Solutions

Ontario, CA · On-site +1

The Data Scientist will partner closely with FP&A, Finance, Data Engineering, and business teams to ... Improve financial forecasting through statistical modeling, machine learning, driver-based ...

Yum! Brands

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

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 ...

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Showing results 21-40

All JobsData Scientist Machine Learning JobsData Scientist Machine Learning Jobs in Irvine, CA

Data Scientist Machine Learning information

See Irvine, CA salary details

$40.3K

$131.7K

$210.9K

How much do data scientist machine learning jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data scientist machine learning in Irvine, CA is $131,746.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,700.00 and $146,000.00 per year, depending on experience, location, and employer.

What is a data scientist machine learning?

A Data Scientist specializing in Machine Learning (ML) uses statistical methods, algorithms, and computational power to analyze data and create predictive models. They work with large datasets to identify patterns, train machine learning models, and improve decision-making processes. Responsibilities often include data cleaning, feature engineering, model selection, and performance evaluation. They may collaborate with engineers and business teams to deploy models in real-world applications. Strong skills in programming (Python, R), ML frameworks (TensorFlow, Scikit-learn), and data visualization are essential.

What are the typical day-to-day responsibilities of a data scientist machine learning?

On a typical day, a Data Scientist specializing in Machine Learning might gather and preprocess data, design and implement machine learning models, and evaluate their performance to solve real-world problems. They often collaborate with data engineers, software developers, and business stakeholders to translate business objectives into technical solutions and integrate models into existing systems. Other responsibilities can include visualizing data insights, conducting experiments to tune algorithms, and staying current with new developments in the field. The work is highly collaborative and iterative, requiring clear communication with various teams to ensure project goals are met efficiently.

What are the key skills and qualifications needed to thrive in the data scientist machine learning position, and why are they important?

To excel as a Data Scientist Machine Learning, you need a strong proficiency in statistics, programming (typically Python or R), and a solid understanding of machine learning algorithms, usually backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications in data science or machine learning, is commonly expected. Analytical thinking, problem-solving skills, and effective communication are vital soft skills in this profession. These qualifications combine to drive impactful insights and enable the successful development and deployment of machine learning models in business environments.

What is the salary of data scientist in machine learning?

The salary of a data scientist specializing in machine learning typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with advanced skills in programming, statistical analysis, and tools like Python or TensorFlow may earn higher compensation.

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

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

What are popular job titles related to Data Scientist Machine Learning jobs in Irvine, CA?

For Data Scientist Machine Learning jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Data Scientist Machine Learning jobs in Irvine, CA look for?

The top searched job categories for Data Scientist Machine Learning jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Data Scientist Machine Learning jobs?

Cities near Irvine, CA with the most Data Scientist Machine Learning job openings:

Data Scientist Machine Learning jobs near you
Infographic showing various Data Scientist Machine Learning job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $131,746 per year, or $63.3 per hour.

Machine Learning Scientist

Xforia, Inc.

Laguna Hills, CA • On-site

Contractor

Re-posted 19 days ago

Job description

ESSENTIAL JOB DUTIES AND RESPONSIBILITIES:
Rapid prototyping, training, and testing of ML solutions using online code repositories, research publications, or customer specifications.
Staying current with advancements in ML, including new development tools, libraries, frameworks, ML models/architectures, training techniques, and application pipelines.
Participating in ML algorithm/hardware co-design tasks.
Performing, documenting, and presenting detailed analyses related to ML algorithm development, software/hardware benchmarking, and application development.
Gaining a thorough understanding of the Akida 1.0/2.0 hardware device and associated software stack (MetaTF).
Interfacing with customers to discuss ML application goals, constraints, and opportunities.
Developing and optimizing models for time series data and large language models (LLMs).
Advancing the state-of-the-art in ML through innovative research and practical coding skills.
QUALIFICATIONS:
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education/Experience:
Master's Degree in Computer Science, Electrical Engineering, or a related field with 5+ years of experience; or a PhD with 3+ years of experience.
Coursework in machine learning, computer vision, control systems, and time series modeling.
Strong programming skills in Python.
Experience developing ML applications in TensorFlow/Keras and/or PyTorch.
Excellent communication skills.
Experience in one or more of the following application fields: Image Processing/Computer Vision, ADAS, Anomaly Detection, Audio/Speech Processing, Automatic Speech Recognition, and Time Series Modeling
Evidence of creativity, including patents and publications.
Preferred Qualifications:
Experience training and optimizing large language models (LLMs).
Ph.D. 5+ years of domain expertise
Multi-project experience in object classification, object detection, face recognition, keyword spotting, and time series modeling, automatic speech recognition.
Knowledge of deep learning quantization techniques.
Experience with Docker and Git.
Experience with Scrum/Agile software development methodologies (e.g., Jira).
Language Skills:
Exceptional presentation, verbal and written skills.
Ability to independently synthesize a point of view given many different perspectives.
Ability to read and interpret documents, such as policies and procedures, routine mail, contracts, and instruction manuals. Ability to compose routine reports and correspondence.
Ability to effectively communicate with persons of various social, cultural, economic, and educational backgrounds.
Reasoning Ability:
Advanced ability to analyze information, problems, situations, practices, or procedures.
Advanced ability to analyze complex technical data using qualitative and quantitative sources of information to formulate logical and objective conclusions and to recognize alternatives and their implications.
Ability to carry out instructions delivered in written, oral, or other formats in daily situations.
Ability to deal with problems involving several concrete variables in standardized situations.
Ability to make timely decisions to produce positive outcomes.

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