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Machine Learning Engineer New Grad 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 ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

The Sr Engineer, AI & ML will be part of the R&D team at Masimo with focus on design and creation ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

The Sr Engineer, AI & ML will be part of the R&D team at Masimo with focus on design and creation ... Develop new advanced algorithms using, machine learning techniques, deep learning models, digital ...

Moffitt

Research Software Engineer

Long Beach, CA · On-site

$215K/yr

Learn new technical skills in important topics such as machine learning, cloud computing, distributed computing, and data engineering. Work in a dynamic environment and collaborate with software ...

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 ... evaluate new technologies and approaches • Develop high-quality, maintainable code while ...

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 ...

Xforia, Inc.

Machine Learning Scientist

Laguna Hills, CA · On-site

Staying current with advancements in ML, including new development tools, libraries, frameworks, ML ... Strong programming skills in Python. Experience developing ML applications in TensorFlow/Keras and ...

Symbotic

New Grad- Integration Specialist

Pomona, CA · On-site

$82K - $113K/yr

New Grad- Integration Specialist We want to learn from you! Our teams at Symbotic value the early ... What we need The Integration Specialist role is to startup, commission, test PLC (Programmable ...

New

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

... new course, with already-globally-deployed solutions delivering real-world results and rapidly ... You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ...

FieldAI

Senior Software Engineer, MLOps

Irvine, CA · On-site

$131K - $173K/yr

... new course, with already-globally-deployed solutions delivering real-world results and rapidly ... You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ...

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All JobsMachine Learning Engineer New Grad JobsMachine Learning Engineer New Grad Jobs in Irvine, CA

Machine Learning Engineer New Grad information

See Irvine, CA salary details

$33.8K

$138.2K

$207.7K

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

As of Aug 17, 2026, the average yearly pay for machine learning engineer new grad in Irvine, CA is $138,220.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $166,400.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are popular job titles related to Machine Learning Engineer New Grad jobs in Irvine, CA?

For Machine Learning Engineer New Grad jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer New Grad jobs in Irvine, CA look for?

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Machine Learning Engineer New Grad jobs near you
Infographic showing various Machine Learning Engineer New Grad job openings in Irvine, CA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $138,220 per year, or $66.5 per hour.

Senior Machine Learning Engineer

Kinetic

Costa Mesa, CA • On-site

$110K - $152K/yr

Full-time

Re-posted 7 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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