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Machine Learning Engineer Intern Jobs in Irvine, CA

Kinetic

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 ...

Kinetic

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 ...

Cotality

Senior Machine Learning Scientist

Irvine, CA · Hybrid

The Senior Machine Learning Scientist develops advanced algorithms and models to extract valuable ... Pipeline Engineering: Develop and optimize data processing pipelines for data preprocessing ...

Masimo Wearables

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$110K - $152K/yr

Masimo Wearables is seeking a Senior Engineer, AI/Machine Learning to join their R&D team focused on next-generation health monitoring devices. The role involves designing and developing AI and ML ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc. * Strong programming skills in MATLAB/Python/C/C++ and exposure to software ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc. * Strong programming skills in MATLAB/Python/C/C++ and exposure to software ...

Moffitt

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 ...

FieldAI

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$110K - $152K/yr

The Senior Machine Learning Platform Engineer will design and manage scalable ML infrastructure, develop cloud-based pipelines, and ensure the reliability of MLOps workflows while mentoring junior ...

3ds

AI/ML Developer

Long Beach, CA · On-site

$140K - $160K/yr

DASSAULT SYSTEMES is seeking an AI / Machine Learning Engineer to join our R&D organization. This individual will contribute to the design, development, and continuous improvement of generative AI ...

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

Machine Learning Engineer Intern information

See Irvine, CA salary details

$27.4K

$45.7K

$94.5K

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

As of Aug 10, 2026, the average yearly pay for machine learning engineer intern in Irvine, CA is $45,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,900.00 and $49,400.00 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 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:
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Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $45,709 per year, or $22 per hour.

Senior Machine Learning Engineer

Kinetic

Costa Mesa, CA • On-site

$112K - $154K/yr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 2 days ago

Job description

About Kinetic
Kinetic Automation is building a network of automated repair centers for modern vehicles. The auto industry is transitioning from mechanically complex vehicles to mechanically simple ones with complex software and technology. Kinetic aims to be the primary infrastructure-as-a-service for servicing future vehicles with our robotic repair centers, powered by our proprietary software and AI. We are a strong team of experienced robotics + automotive + shared mobility enthusiasts who have worked in self-driving, mapping, lidar, motorsport, and ride-sharing. We are a venture backed startup (Series B) with a clear go-to-market strategy and meaningful revenue.
About the role
You will be a part of a small, production-minded ML team based in Orange County/Oakland. 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 data.
Experience & Skills Required
  • Deep ML / CV Fundamentals: You need hands-on experience training and evaluating deep models for segmentation and detection (PyTorch). You must understand how Transformer/LLM building blocks map to vision (ViT/DETR/Mask2Former) and have practical exposure to 2D/3D data, point clouds, and camera geometry
  • Curiosity & Strict Attention to Detail: You are obsessed with corner cases. You have a sharp eye for data anomalies, run rigorous ablations, keep meticulous experiment logs, and can clearly communicate trade-offs
  • AI-Empowered, Not AI-Dependent: We strongly encourage leveraging AI tools (Copilot, ChatGPT, Claude) to maximize your efficiency. However, you must 100% understand the underlying details of the code you ship. We are looking for strong independent thinkers and debuggers, not someone who simply passes along AI outputs without deep comprehension
  • Working knowledge of transformer and LLM building blocks applied to vision, including self-attention, positional encodings, tokenization, and mapping these ideas to vision models (e.g., ViT, DETR, Mask2Former)
  • Practical exposure to 3D/depth data, including familiarity with point clouds, camera geometry (intrinsics/extrinsics), basic calibration, and multi-view geometry
  • Proficiency in Python and the relevant tech stack: PyTorch, torchvision, Detectron2 or MMDetection/Segmentation, and Hugging Face Transformers
  • Experience with Python services (FastAPI/Flask), Docker, and AWS services (S3, Batch/EC2, ECR) is preferred.
  • Strong communication skills with the ability to write tidy PRs, experiment logs, and short design notes to ensure reproducibility

Responsibilities
  • The Work: Implement training loops, curate datasets, drive high-priority experiments, and partner with cross-functional teams to close feedback loops from edge cases
  • The Stack: PyTorch, Detectron2 / MMDetection / Segmentation, Hugging Face Transformers, Python (FastAPI), Docker, AWS
  • Collaborate on model development by implementing training loops, losses, augmentations, and evaluations using PyTorch
  • Keep current with the industry by summarizing relevant papers and PRs, and proposing small, testable improvements
  • Contribute to datasets by helping define labeling guidelines, curating splits, running quality checks, and maintaining data versioning
  • Run experiments to track metrics, perform ablations, write clear experiment notes, and present findings.
  • Provide production support by exporting models, writing basic inference code, adding tests, and assisting with performance profiling
  • Work cross-functionally, partnering with backend engineers on APIs, containers, and CI, and with ops/labeling teams on edge cases and feedback loops

Benefits
  • Competitive salary and equity package
  • Comprehensive health and dental insurance
  • Retirement savings plan.
  • Paid time off and holidays

Kinetic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, gender, gender expression, age, national origin, disability, marital status, sexual orientation, military status, or any protected attribute. We encourage qualified candidates from all backgrounds to apply and join us in our mission. If you require accommodation at any stage of the application process due to a disability, please let us know.

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