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Machine Learning Engineer Jobs in Foothill Ranch, CA

Turion Space

Machine Learning Engineer

Irvine, CA · On-site

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML/CV solution that are integral to Turion's Space Domain Awareness data products. You will work on ...

FieldAI

3D Machine Learning Engineer

Irvine, CA · On-site

As a 3D Machine Learning Engineer , you will focus on designing, implementing, training, and maintaining cutting-edge 3D and multimodal machine learning models that process reality capture data such ...

Compunnel

Machine Learning Engineer

Aliso Viejo, CA · On-site

JOB SUMMARY The ML Engineer II will design and develop ML models that deliver accurate results to solve identified business problems using state-of-the-art techniques, under the guidance of Senior ML ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

... rigorous engineering with learning systems proven in globally deployed solutions that deliver ... What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ...

Capgroup

Senior Machine Learning Engineer

Irvine, CA

$112.20K - $154K/yr

Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Machine Learning Engineer at Capital Group" We are seeking a strong ...

Capital Group

Senior Machine Learning Engineer

Irvine, CA · On-site

$111.60K - $153.20K/yr

Access on-demand professional development resources that allow you to hone existing skills and learn new ones "I can succeed as a Senior Machine Learning Engineer at Capital Group." You will join our ...

Capgroup

Senior Machine Learning Engineer

Irvine, CA · On-site

$112.20K - $154K/yr

... Machine Learning Engineering team to build the next generation of AI products at Capital Group - including agentic systems, LLM-powered workflows, and the platform that ensures they are safe ...

Cisco

Principal Machine Learning Engineer

Irvine, CA

$291.50K - $369.10K/yr

Partner with executive leadership, engineering, product, and data science teams to ensure AI ... Solid proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow) * Experience ...

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Syntiant

Senior Engineer, Machine Learning

Irvine, CA · On-site

$125K - $150K/yr

The Senior Engineer, Machine Learning will be responsible for developing state-of-the-art audio and vision models to be deployed on edge devices. We are looking for candidates at the cutting edge of ...

Syntiant

Senior Engineer, Machine Learning

Irvine, CA · On-site

$125K - $150K/yr

The Senior Engineer, Machine Learning will be responsible for developing state-of-the-art audio and vision models to be deployed on edge devices. We are looking for candidates at the cutting edge of ...

Syntiant

Senior Engineer, Machine Learning

Irvine, CA · On-site

$125K - $150K/yr

The Senior Engineer, Machine Learning will be responsible for developing state-of-the-art audio and vision models to be deployed on edge devices. We are looking for candidates at the cutting edge of ...

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Machine Learning Engineer information

See Foothill Ranch, CA salary details

$32.5K

$133K

$199.9K

How much do machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for machine learning engineer in Foothill Ranch, CA is $133,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,900.00 and $160,100.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

More about Machine Learning Engineer jobs
What cities near Foothill Ranch, CA are hiring for Machine Learning Engineer jobs? Cities near Foothill Ranch, CA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Machine Learning Engineering Intern

Machine Learning Engineering Intern

Qeexo, Co.

San Clemente, CA • On-site

$25/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Machine Learning Engineer Intern TDK SensEI San Clemente, CA
This position is for our San Clemente, CA office - only apply if you are based there or willing to relocate
At TDK SensEI, we are transforming how industrial customers utilize and interact with sensor data. We specialize in developing advanced AI solutions capable of running directly on edge devices. By processing data locally, TDK SensEI enhances real-time decision-making, privacy, security, and cost efficiency. Our offerings include automated machine learning tools, AI-powered condition-based monitoring systems, and various sensor devices optimized for low latency and power consumption. Collaborating with leading global companies, we empower teams to effortlessly devise and implement machine learning solutions for industrial applications, all without the need for coding.
We are looking for a machine learning intern who loves working with sensor data, loves developing novel algorithms, and has strong curiosity about developing new GenAI-based ML applications. You will be working with a highly capable team of machine learning engineers and software engineers and will have the opportunity to make a meaningful impact on important new product development.
As a Machine Learning Engineer Intern, your responsibilities will include:
1. Assist in Model Development: Collaborate with senior engineers to develop and train machine learning models tailored for edge devices.
2. Data Collection and Preprocessing: Gather and preprocess data from various sensors and sources to ensure high-quality inputs for AI models.
3. Prototype Development: Develop and test prototypes for new Gen AI-based use cases, ensuring they meet performance and reliability standards.
4. Performance Evaluation: Conduct experiments to evaluate the performance of AI models and edge solutions, identifying areas for improvement.
5. Collaboration: Work closely with cross-functional teams, including machine learning and software engineers, to integrate AI solutions into prototype systems.
Ideal Candidate
. Signal processing and machine learning (most likely in EE major)
. Computer vision (most likely in CS major)
. Language model (most likely in CS major)
• Deep knowledge of statistical and machine learning approaches and problem domains
• Machine Learning/Computer Science/Electrical Engineering background with strong coding ability and proficiency with Python or other OOP language
• Proven success with multiple ML/AI/classification projects (research papers, open-source implementations, etc.)
• Expertise in one or more specific areas of research: automated machine learning, anomaly detection, condition monitoring, predictive maintenance, neural nets, deep learning, signal processing, digital imaging, ensemble learning, and system identification
• Experience working with GenAI applications
• Comfortable working in a terminal environment, writing scripts (Bash/Python) to process data and implement algorithms
Skills & Requirements:
• Master's or PhD student
• Python or other modern OOP language (proficient)
• Data Structures and Algorithms (proficient)
• Deep Learning (proficient)
• Data Structures and Algorithms (familiar)
• Experience with Docker and AWS (familiar)
• US Work Authorization required
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About Qeexo

Sourced by ZipRecruiter

Industry

It services

Company size

1 - 10 Employees

Headquarters location

Mountain View, CA, US

Year founded

2012

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