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Machine Learning Engineer Intern Jobs in Murrieta, CA

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

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 ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA

$25/hr

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 ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

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 ...

Esri

C/C++ Software Development Engineer II

Redlands, CA · On-site

Work alongside senior engineers to design and implement innovative features * Stay informed about ... machine learning, computer hardware, and the business of software, to enhance your contributions to ...

Esri

Sr. Software Development Engineer - Gen AI

Redlands, CA · On-site +1

$123K - $162K/yr

Develop Python-based machine learning components that enhance how users assess, understand, and ... Build scalable ML pipelines and data engineering processes to improve overall system architecture

Esri

Sr. Generative AI Software Developer

Redlands, CA · On-site

$54.75 - $72.50/hr

Esri's Professional Services division is seeking an experienced Sr. Software Development Engineer ... Responsibilities : • Develop Python-based machine learning components that enhance how users ...

Esri

C/C++ Software Development Engineer II

Redlands, CA · On-site

$101K - $167K/yr

Work alongside senior engineers to design and implement innovative features * Stay informed about ... machine learning, computer hardware, and the business of software, to enhance your contributions to ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Murrieta, CA

Machine Learning Engineer Intern information

See Murrieta, CA salary details

$26.1K

$43.5K

$90K

How much do machine learning engineer intern jobs pay per year?

As of Aug 6, 2026, the average yearly pay for machine learning engineer intern in Murrieta, CA is $43,537.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,200.00 and $47,000.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What job categories do people searching Machine Learning Engineer Intern jobs in Murrieta, CA look for? The top searched job categories for Machine Learning Engineer Intern jobs in Murrieta, CA are:
What cities near Murrieta, CA are hiring for Machine Learning Engineer Intern jobs? Cities near Murrieta, CA with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Murrieta, CA as of July 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $43,537 per year, or $20.9 per hour.

Data Engineering Intern

Qeexo, Co.

San Clemente, CA • On-site

$25/hr

Other

Re-posted 26 days ago

Job description

TDK SensEI is transforming how sensor data is collected, processed, and leveraged powering intelligent, data-driven decision-making across

industrial environments. As a pioneer in automated machine learning for edge devices and a subsidiary of TDK Corporation, a global leader in sensor technology, SensEI operates at the forefront of industrial AI and analytics.

 The Data Engineering Intern supports the development of scalable data systems and infrastructure that power our machine learning-based

equipment monitoring platform. In this role, the intern will work with large-scale sensor datasets, cloud-based technologies, and modern data

pipelines, while collaborating closely with software and machine learning engineers to enable advanced analytics and AI applications.

This internship provides hands-on experience in building production-ready data systems within a fast-paced, innovative environment.

KEY RESPONSIBILITIES

Build, maintain, and optimize ETL/ELT pipelines for processing sensor and operational data

Develop data workflows and automation using Python, SQL, and AWS services 

Support data ingestion, transformation, validation, and monitoring processes 

Work with structured and semi-structured data from cloud and edge-based systems 

Collaborate with software and ML engineers to prepare datasets for analytics and machine learning models 

Assist with integration and optimization of OLTP and OLAP systems 

Troubleshoot pipeline issues and contribute to improvements in data reliability and performance

ADDITIONAL RESPONSIBILITIES

Create and maintain documentation, including data flows, system diagrams, and technical specifications 

Participate in code reviews and adhere to engineering best practices 

Support initiatives to improve data quality, observability, and operational efficiency 

Contribute to continuous improvement of data infrastructure and workflows

 

Other Duties:

Perform other related duties and ad hoc projects as assigned to support departmental and organizational goals.

Workplace Safety: Maintain awareness of and follow all workplace safety guidelines and promote a culture of well-being.

Quality and Compliance: Ensure work is performed in accordance with established quality control and assurance processes. 

Ethics and Integrity: Adhere to the company's Values and Code of Conduct and uphold the highest standards of honesty, integrity, and ethical behavior in all business activities.

QUALIFICATIONS

Education/Experience: 

 Currently pursuing a Bachelor's or Master's degree in: 

Computer Science

Data Engineering

Information Systems

or a related technical field

Hands-on experience with Python and SQL 

Exposure to data pipelines, ETL/ELT processes, or data warehousing concepts 

Familiarity with relational and/or analytical databases (e.g., PostgreSQL, MySQL, Redshift) 

Exposure to cloud platforms, preferably AWS 

 Knowledge/Skills/Abilities

Strong foundation in Python programming and SQL/database fundamentals 

Basic understanding of data engineering concepts, including pipelines, transformation, and storage 

Familiarity with cloud computing and distributed systems 

Analytical mindset with strong problem-solving capabilities 

Ability to quickly learn new tools, technologies, and frameworks 

Strong attention to detail and commitment to data accuracy and quality 

Effective communication skills, both written and verbal 

Ability to collaborate in cross-functional team environments

Preferred / Bonus Qualifications

  Experience with workflow orchestration tools (e.g., Apache Airflow)

Familiarity with AWS services such as S3, Lambda, Glue, or Redshift

Exposure to Docker, Linux, or shell scripting

Understanding of OLTP vs. OLAP systems

Experience with data lakes, data warehousing, or analytics platforms

Interest in machine learning and data-driven systems

Experience with Git or version control systems

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About Qeexo

Sourced by ZipRecruiter

Industry

It services

Company size

1 - 10 Employees

Headquarters location

Mountain View, CA, US

Year founded

2012

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