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Machine Learning Engineer Jobs in Orange, CA (NOW HIRING)

True Anomaly

Machine Learning Engineer

Long Beach, CA · On-site

They are seeking a Machine Learning Engineer to design and develop machine learning and AI capabilities, contributing to object classification, anomaly detection, and data-driven decision-making.

True Anomaly

Machine Learning Engineer

Long Beach, CA · On-site

They are seeking a Machine Learning Engineer to join their Applied Algorithms and Autonomy team, where the role involves designing and developing machine learning and AI capabilities to support ...

Motorola

Machine Learning Engineer

Los Angeles, CA

THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

THE OPPORTUNITY Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying ...

Hadrian

Machine Learning Engineer

Los Angeles, CA

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling these systems end to end. What You'll Do * Research, develop and deploy cutting-edge deep learning ...

HADRIAN

Machine Learning Engineer

Los Angeles, CA

$160K - $250K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling these systems end to end. What You'll Do: * Research, develop and deploy cutting-edge deep learning ...

Yum! Brands

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

Senior Machine Learning Engineer We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This ...

New

Yum Brands

Sr Machine Learning Engineer

Irvine, CA

$112K - $154K/yr

We are seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms used for media measurement and customer analytics. This role partners closely with Data ...

New

Yum! Brands

Sr Machine Learning Engineer

Irvine, CA · On-site

$110K - $152K/yr

Yum! Brands is seeking a hands-on Senior Machine Learning Engineer to support and enhance machine learning platforms for media measurement and customer analytics. This role involves collaborating ...

New

Turion Space

Machine Learning Engineer

Irvine, CA

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 ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Orange, CA

Machine Learning Engineer information

See Orange, CA salary details

$33.6K

$137.6K

$206.7K

How much do machine learning engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning engineer in Orange, CA is $137,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $165,600.00 per year, depending on experience, location, and employer.

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 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 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 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 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.

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.
More about Machine Learning Engineer jobs
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 Machine Learning Engineer jobs in Orange, CA? For Machine Learning Engineer jobs in Orange, CA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Orange, CA look for? The top searched job categories for Machine Learning Engineer jobs in Orange, CA are:
What cities near Orange, CA are hiring for Machine Learning Engineer jobs? Cities near Orange, CA with the most Machine Learning Engineer job openings:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Orange, CA as of June 2026, with employment types broken down into 98% Full Time, and 2% Part Time. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $137,559 per year, or $66.1 per hour.

Machine Learning Engineer

True Anomaly

Long Beach, CA • On-site

Full-time

Posted 25 days ago

Job description

Job Summary:
True Anomaly is a company focused on delivering technology for space superiority. They are seeking a Machine Learning Engineer to design and develop machine learning and AI capabilities, contributing to object classification, anomaly detection, and data-driven decision-making.
Responsibilities:
• Assist in the development, training, and evaluation of ML models across a range of mission-relevant tasks
• Support data ingestion, preprocessing, and feature engineering pipelines
• Run experiments, track results, and contribute to model evaluation and iteration
• Write clean, documented, and testable Python code as part of a collaborative engineering team
• Learn and grow alongside senior engineers, contributing meaningfully from day one
Qualifications:
Required:
• Bachelor's degree in computer science, machine learning, data science, electrical engineering, or a similar discipline
• Proficient in Python
• Foundational understanding of machine learning concepts including supervised learning, unsupervised learning, and model evaluation
• Exposure to ML frameworks such as PyTorch, TensorFlow, or JAX through coursework, research, or personal projects
• Strong mathematical fundamentals in linear algebra, statistics, and probability
• Eagerness to learn, take feedback, and grow in a fast-paced, mission-driven environment
• Passion for spaceflight and advancing capabilities related to space domain awareness and space security
• Work Location— this is a fully onsite role. Candidates must be based in or able to commute to our Denver or Long Beach office daily.
• To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.
Preferred:
• Internship, research, or project experience applying ML to real-world or research datasets
• Familiarity with classification, regression, clustering, or anomaly detection techniques
• Experience with version control (Git) and basic software engineering practices
• Exposure to MLOps concepts such as experiment tracking or model versioning
• Coursework or project work in deep learning, computer vision, or time-series analysis
Company:
True Anomaly develops space security technologies, including spacecraft, software platforms, and mission systems for orbital operations. Founded in 2022, the company is headquartered in Centennial, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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