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Entry Level Machine Learning Engineer Jobs in Orange, CA

Masimo

Engineer II, AI/Machine Learning

Irvine, CA

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices. It is a cutting-edge research and ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices. It is a cutting-edge research and ...

Masimo

Engineer II, AI/Machine Learning

Irvine, CA · On-site

$120K - $150K/yr

The AI/Machine Learning Engineer II will be part of the R&D team at Masimo with focus on design and creation of next-generation health monitoring devices. It is a cutting-edge research and ...

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 ...

Yum! Brands

Associate Manager Machine Learning

Irvine, CA · Hybrid

$134K - $158K/yr

We are hiring a Manager, Machine Learning (MLE) to lead the development and operationalization of ... You will manage a team of MLEs and partner with AI Engineers, QA, and DevOps to deliver high ...

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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 Jun 12, 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 in the Entry Level Machine Learning Engineer position, and why are they important?

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 job?

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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $74,097 per year, or $35.6 per hour.
Machine Learning Engineer - Vision Products Software

Machine Learning Engineer - Vision Products Software

Apple

Los Angeles, CA • On-site

Full-time

Posted 14 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

AI is transforming how people interact with technology, and Apple is building the next generation of intelligent, privacy-preserving experiences across its platforms. We're looking for a Machine Learning Engineer to help prototype, build, and ship conversational and generative AI systems that feel deeply human, responsive, and trustworthy..In this role, you'll work at the intersection of machine learning research and product engineering-rapidly iterating on new ideas, translating them into scalable systems, and partnering closely with cross-functional teams to bring them to life. You'll contribute to foundational capabilities that power conversational understanding, generation, personalization, and embodied interactions for Apple's Vision devices
As a Machine Learning Engineer on our team, you will design, prototype, and deploy ML-driven features that power conversational and generative experiences. You'll work hands-on with modern model architectures; ranging from large language and multimodal models to ranking and personalization system and integrate them into production frameworks used at scale.You'll collaborate closely with researchers, product managers, designers, and platform engineers to align on problem definitions, iterate on solutions, and ship features that meet Apple's standards for reliability, privacy, and delight. This role balances experimentation with execution: moving quickly when exploring new ideas, and rigorously when transitioning work into production.
Phd +3yrs or MS + 5yrs relevant experience in related field (AIML, CS, EE etc.)Strong experience with deep learning, particularly in natural language processing and/or multimodal modelsHands-on experience with modern generative AI systems and computer vision models, including prompt design, fine-tuning, and evaluationFamiliarity with ranking, retrieval, and personalization algorithmsProficiency in Python and experience with ML frameworks such as PyTorch (TensorFlow a plus)Experience integrating ML models into production systemsStrong communication skills and the ability to collaborate across disciplinesCuriosity, pragmatism, and a product-oriented mindset
Experience with conversational AI systems or interactive ML-driven experiencesExposure to multimodal or embodied AI systems (voice, animation, agents, or real-time interaction)Familiarity with Apple platforms, frameworks, or ML infrastructureEvaluation based measurement expertise using eval frameworks to measure non-deterministic experiences for consumer facing products

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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