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Internship Machine Learning Engineer New Grad Jobs in Murrieta, CA

Qeexo, Co.

Data Engineering Intern

San Clemente, CA

$25/hr

... machine learning engineers to enable advanced analytics and AI applications. This internship ... learn new tools, technologies, and frameworks Strong attention to detail and commitment to data ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA

$25/hr

... machine learning engineers to enable advanced analytics and AI applications. This internship ... learn new tools, technologies, and frameworks Strong attention to detail and commitment to data ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

... machine learning engineers to enable advanced analytics and AI applications. This internship ... new tools, technologies, and frameworks • Strong attention to detail and commitment to data ...

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

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All JobsMachine Learning Engineer New Grad JobsInternship Machine Learning Engineer New Grad JobsInternship Machine Learning Engineer New Grad Jobs in Murrieta, CA

Internship Machine Learning Engineer New Grad information

See Murrieta, CA salary details

$26.1K

$43.5K

$90K

How much do internship machine learning engineer new grad jobs pay per year?

As of Aug 12, 2026, the average yearly pay for internship machine learning engineer new grad 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 types of projects do machine learning engineer interns typically work on?

Machine Learning Engineer interns often work on hands-on projects such as data preprocessing, model development, and conducting experiments to validate algorithms under the guidance of senior engineers. These projects might include building prototypes, optimizing existing machine learning models, or supporting data collection and annotation efforts. Interns are expected to collaborate closely with data scientists, software engineers, and product teams to align their work with real business needs. This experience not only helps interns build technical skills but also provides insight into how machine learning solutions are integrated into larger products or services.

What does an internship machine learning engineer new grad do?

An Internship Machine Learning Engineer New Grad typically works on developing, testing, and optimizing machine learning models under the guidance of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, model training, and evaluating model performance. They may also collaborate with cross-functional teams to integrate models into production or contribute to research projects. This role provides hands-on experience with real-world data and the opportunity to learn industry-standard tools and practices.

What are the key skills and qualifications needed to thrive as an internship machine learning engineer new grad?

To thrive as an Internship Machine Learning Engineer New Grad, you need a strong grasp of programming (especially Python), machine learning algorithms, data structures, and a relevant degree or coursework in computer science or a related field. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is typically expected. Strong analytical thinking, problem-solving abilities, and a willingness to learn make you stand out in this position. These skills enable you to contribute effectively to projects, quickly adapt to new challenges, and support innovative solutions in a fast-evolving field.

What is the difference between Internship Machine Learning Engineer New Grad vs Machine Learning Engineer?

AspectInternship Machine Learning Engineer New GradMachine Learning Engineer
Required CredentialsTypically pursuing or recently completed a Bachelor's or Master's in CS, Data Science, or related fieldsBachelor's or higher in CS, Data Science, or related fields; often requires some professional experience
Work EnvironmentTemporary, learning-focused internship, often part-time or summerFull-time professional role in a team, responsible for deploying ML models and projects
Employer & Industry UsageInternships offered by tech companies, startups, and research labs; industry-wideFull-time roles in tech, finance, healthcare, and other sectors utilizing ML

The main difference between an Internship Machine Learning Engineer New Grad and a Machine Learning Engineer is experience level and job responsibilities. Internships are temporary, learning-focused positions for recent graduates or students, while full-time Machine Learning Engineers handle ongoing projects, deployment, and optimization of ML models in a professional setting.

What are popular job titles related to Internship Machine Learning Engineer New Grad jobs in Murrieta, CA? For Internship Machine Learning Engineer New Grad jobs in Murrieta, CA, the most frequently searched job titles are:
What job categories do people searching Internship Machine Learning Engineer New Grad jobs in Murrieta, CA look for? The top searched job categories for Internship Machine Learning Engineer New Grad jobs in Murrieta, CA are:
What cities near Murrieta, CA are hiring for Internship Machine Learning Engineer New Grad jobs? Cities near Murrieta, CA with the most Internship Machine Learning Engineer New Grad job openings:
Internship Machine Learning Engineer New Grad jobs near you
Infographic showing various Internship Machine Learning Engineer New Grad job openings in Murrieta, CA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% 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

$25/hr

Internship

Re-posted 2 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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