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Entry Level Machine Learning Engineer Jobs in Irvine, CA

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 ...

Moffitt

AI/ML Engineer Precision Oncology

West Covina, CA · On-site

$131K - $201K/yr

The AI/ML Engineer works at the intersection of machine learning engineering, multimodal data integration, foundation models, generative AI, biomedical data science, and cancer research. This ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Irvine, CA · On-site

$77K - $202K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Rivian

Durability Analytics Engineer

Irvine, CA · On-site

$96K - $120K/yr

Develop and validate machine learning models to estimate vehicle loads, drive events, fatigue ... Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Computer Science or similar.

Rivian

Durability Analytics Engineer

Irvine, CA · On-site

$96K - $120K/yr

Develop and validate machine learning models to estimate vehicle loads, drive events, fatigue ... Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Computer Science or similar.

Rivian

Durability Analytics Engineer

Irvine, CA · On-site

$96K - $120K/yr

Develop and validate machine learning models to estimate vehicle loads, drive events, fatigue ... Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Computer Science or similar.

Medium

Senior Autonomy Software Engineer

Long Beach, CA · On-site

$140 - $200/hr

Develop both machine-learning-based and classical perception approaches, selecting the appropriate method based on mission requirements, data availability, compute constraints, reliability, and test ...

New

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

This KPI-driven team leverages Machine Learning (ML) to deliver personalized experiences. The role involves building end-to-end solutions, collaborating with data scientists and engineers, and ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsEntry Level Machine Learning Engineer JobsEntry Level Machine Learning Engineer Jobs in Irvine, CA

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 12, 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:
Entry Level Machine Learning Engineer jobs near you
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.

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

Qeexo logo

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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