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Machine Learning Engineer Associate Jobs in Irvine, CA

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 ...

Deloitte

Lead Forward Deployed Engineer - AWS

Costa Mesa, CA

$110K - $144K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

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 Associate JobsMachine Learning Engineer Associate Jobs in Irvine, CA

Machine Learning Engineer Associate information

See Irvine, CA salary details

$44.5K

$88.7K

$141.7K

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

As of Aug 7, 2026, the average yearly pay for machine learning engineer associate in Irvine, CA is $88,701.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,300.00 and $102,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by machine learning engineer associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What is a machine learning engineer associate?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a machine learning engineer associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
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 Machine Learning Engineer Associate jobs in Irvine, CA? For Machine Learning Engineer Associate jobs in Irvine, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Associate jobs in Irvine, CA look for? The top searched job categories for Machine Learning Engineer Associate jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Machine Learning Engineer Associate jobs? Cities near Irvine, CA with the most Machine Learning Engineer Associate job openings:
Machine Learning Engineer Associate jobs near you
Infographic showing various Machine Learning Engineer Associate job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $88,701 per year, or $42.6 per hour.

Senior Machine Learning Engineer

Kinetic

Costa Mesa, CA • On-site

$110K - $152K/yr

Full-time

Re-posted 27 days ago

Job description

Job Summary:
Kinetic Automation is building a network of automated repair centers for modern vehicles. 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:
• Implement training loops, curate datasets, drive high-priority experiments, and partner with cross-functional teams to close feedback loops from edge cases
• 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
Qualifications:
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
• Strong communication skills with the ability to write tidy PRs, experiment logs, and short design notes to ensure reproducibility
Preferred:
• Experience with Python services (FastAPI/Flask), Docker, and AWS services (S3, Batch/EC2, ECR) is preferred.
Company:
Kinetic Automation is pioneering effortless modern vehicle repair. Founded in 2021, the company is headquartered in Orange, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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