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Entry Level Machine Learning Engineer Jobs in Orange, 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 ...

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 ...

HeyGen

Data Infrastructure Engineer

Los Angeles, CA · On-site

$115K - $151K/yr

Collaborate with data scientists and machine learning engineers to understand their computational and data needs and provide efficient solutions. * Stay up-to-date with the latest industry trends in ...

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Entry Level Machine Learning Engineer information

See Orange, CA salary details

$32K

$74.1K

$126.1K

How much do entry level machine learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for entry level machine learning engineer in Orange, CA is $74,097.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,000.00 and $83,900.00 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 Orange, CA?

The most popular types of Machine Learning Engineer jobs in Orange, CA are:

What are popular job titles related to Entry Level Machine Learning Engineer jobs in Orange, CA?

For Entry Level Machine Learning Engineer jobs in Orange, CA, the most frequently searched job titles are:

What cities near Orange, CA are hiring for Entry Level Machine Learning Engineer jobs?

Cities near Orange, 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 Orange, CA as of August 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Nights. Highlights an 97% In-person, and 3% Remote job distribution, with an average salary of $74,097 per year, or $35.6 per hour.

Senior Machine Learning Engineer

Kinetic

Costa Mesa, CA • On-site

$110K - $152K/yr

Full-time

Re-posted 6 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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