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Machine Engineer Jobs in California (NOW HIRING)

RAPID EAGLE INC

Machine Learning Engineer

Sunnyvale, CA · Remote

$70 - $80/hr

Health insurance Machine Learning Engineer 100% Remote We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that ...

NTENT

Machine Learning Engineer

Carlsbad, CA · On-site

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

NTENT

Machine Learning Engineer

Carlsbad, CA

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Apple

Machine Learning Engineer

Cupertino, CA · On-site

As a Machine Learning Engineer, you will design and build cutting-edge AI/ML systems that drive meaningful business outcomes at scale. You will work cross-functionally to bring innovative machine ...

LeanData

Machine Learning Engineer

Santa Clara, CA · On-site

Machine Learning Engineer LeanData helps the world's fastest-growing companies automate, simplify, and accelerate revenue. We are looking for a curious and innovative Machine Learning Engineer to ...

Velo3D

Machine Learning Engineer

Fremont, CA

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Eragon

Machine Learning Engineer

San Francisco, CA

Machine Learning Engineer We're looking for a Machine Learning Engineer to build and deploy production-grade AI systems. In this role, you'll take models from research to real-world applications ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

... engineering/science, and a minimum of 3 years relevant industry experience Experience with software coding in Python. Experience with one of the following: machine learning/deep learning systems ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA

$160K - $190K/yr

Machine Learning Engineer Machina Labs is changing the way manufacturing works. We build intelligent, software-defined factories that produce complex metal structures directly from digital design. By ...

Apple

Machine Learning Engineer

Sunnyvale, CA · On-site

Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and graphics ...

Velo3D

Machine Learning Engineer

Fremont, CA · On-site

$150K - $220K/yr

We are seeking a Machine Learning Engineer to join our team developing machine learning solutions for quality assurance and process monitoring in additive manufacturing. Working closely with process ...

Skild AI

Machine Learning Engineer

San Mateo, CA

$100K - $300K/yr

Machine Learning Engineer San Mateo, Pittsburgh Company Overview At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios ...

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Showing results 1-20

All JobsMachine Engineer JobsMachine Engineer Jobs in California

Machine Engineer information

See California salary details

$31.1K

$127.1K

$191K

How much do machine engineer jobs pay per year?

As of Jun 19, 2026, the average yearly pay for machine engineer in California is $127,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $153,000.00 per year, depending on experience, location, and employer.

What does a machine engineer do?

A machine engineer designs, develops, and maintains machinery and mechanical systems used in manufacturing, production, or other industrial processes. They analyze mechanical problems, create technical drawings, and ensure equipment operates efficiently and safely, often using tools like CAD software and adhering to safety standards.

What are the typical collaborative interactions a Machine Engineer has with other departments?

Machine Engineers frequently work alongside cross-functional teams, including production, quality assurance, and maintenance. They often collaborate with design engineers to refine machine specifications and with operators to ensure equipment runs smoothly. Regular communication with procurement and supply chain teams is also common to coordinate the sourcing of machine components and materials. This collaborative approach helps ensure that machinery meets both operational and safety standards while aligning with overall production goals.

What engineers make $300,000 a year?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves working in high-demand industries, holding managerial positions, or possessing advanced certifications and expertise in niche areas.

What is the difference between Machine Engineer vs Mechanical Engineer?

AspectMachine EngineerMechanical Engineer
Required CredentialsBachelor's in Mechanical, Electrical, or Industrial Engineering; certifications varyBachelor's in Mechanical Engineering; often includes licensure
Work EnvironmentManufacturing plants, industrial facilities, machinery designDesign offices, research labs, manufacturing settings
Industry UsageHeavy machinery, automation, manufacturingAutomotive, aerospace, robotics, product design

Machine Engineers focus on designing, maintaining, and improving machinery and automation systems, often working directly with manufacturing equipment. Mechanical Engineers have a broader scope, working on product design, thermodynamics, and structural analysis across various industries. Both roles require strong engineering fundamentals, but Machine Engineers typically specialize in machinery operation and optimization, while Mechanical Engineers work on a wider range of mechanical systems.

Is 40 too late to be an engineer?

Machine engineering is a field that values skills, experience, and continuous learning over age. Many engineers start or transition into the profession later in life, and acquiring relevant education or certifications can help establish credibility regardless of age.

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

To thrive as a Machine Engineer, you need a solid background in mechanical engineering principles, problem-solving skills, and typically a bachelor’s degree in mechanical or related engineering fields. Experience with CAD software, PLC programming, and familiarity with industry standards or certifications like Six Sigma are often required. Strong analytical thinking, attention to detail, and effective communication skills set outstanding professionals apart in this field. These competencies are crucial for designing, optimizing, and maintaining machinery to ensure efficient and safe operations in manufacturing environments.

What are Machine Engineers?

Machine Engineers are professionals who design, develop, test, and maintain machinery and mechanical systems used in various industries, such as manufacturing, automotive, and robotics. They apply principles of mechanical engineering, mathematics, and physics to solve problems related to machines and their components. Machine Engineers may work on improving existing equipment, developing new machines, or overseeing the installation and operation of machinery. Their responsibilities often include creating technical drawings, selecting appropriate materials, and ensuring machines operate safely and efficiently.

What engineers make $500,000?

Senior engineers in specialized fields such as petroleum, aerospace, or software engineering can earn $500,000 or more annually, often through a combination of base salary, bonuses, and stock options. High-level roles typically require extensive experience, advanced skills, and sometimes leadership responsibilities or advanced certifications.
What are popular job titles related to Machine Engineer jobs in California? For Machine Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Machine Engineer jobs in California look for? The top searched job categories for Machine Engineer jobs in California are:
What are popular job titles related to Machine Engineer jobs in CA? For Machine Engineer jobs in CA, the most frequently searched job titles are:
Machine Engineer jobs near you
Infographic showing various Machine Engineer job openings in California as of June 2026, with employment types broken down into 97% Full Time, 1% Part Time, 1% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $127,083 per year, or $61.1 per hour.
Machine Learning Engineer

Machine Learning Engineer

RAPID EAGLE INC

Sunnyvale, CA • Remote

$70 - $80/hr

Full-time

Medical, Dental, Retirement

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

Job description

Benefits:
  • 401(k) matching
  • Dental insurance
  • Health insurance

Machine Learning Engineer
100% Remote
We are seeking a highly skilled Machine Learning Engineer to design, develop, deploy, and maintain scalable machine learning solutions that drive business value. The ideal candidate will have strong expertise in machine learning algorithms, data engineering, model deployment, and cloud technologies.
Key Responsibilities:
  • Design, develop, and deploy machine learning models for predictive analytics, classification, recommendation systems, and NLP applications.
  • Build and optimize end-to-end ML pipelines for data ingestion, feature engineering, model training, validation, and deployment.
  • Collaborate with Data Scientists, Data Engineers, and business stakeholders to translate business requirements into ML solutions.
  • Develop and maintain scalable APIs and microservices for model serving.
  • Monitor model performance, retrain models, and implement MLOps best practices.
  • Work with large-scale structured and unstructured datasets.
  • Optimize model accuracy, scalability, and reliability in production environments.
  • Implement CI/CD pipelines for ML model deployment and lifecycle management.
Required Skills:
  • 5+ years of experience in Machine Learning Engineering or Data Science.
  • Strong programming skills in Python.
  • Experience with ML frameworks such as TensorFlow, PyTorch, Scikit-Learn, XGBoost.
  • Strong understanding of machine learning algorithms, statistics, and data structures.
  • Experience with SQL, data processing, and feature engineering.
  • Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
  • Experience with Docker, Kubernetes, CI/CD pipelines, and MLOps tools.
  • Knowledge of REST APIs, microservices architecture, and model deployment.
  • Experience working with distributed computing frameworks such as Spark.

This is a remote position.

Rapid Eagle logo

About Rapid Eagle

Sourced by ZipRecruiter

Rapid Eagle is dedicated to delivering testing solutions that help organizations take on important initiatives and reach their goals. They have a strong understanding of various industries and functions, utilize advanced technology, and operate on a global scale. The company encourages a culture of entrepreneurial thinking at all levels, promoting ownership, leadership, and accountability. What sets Rapid Eagle apart is their expertise in providing comprehensive testing solutions. They have a specialized team with extensive knowledge and experience, combining traditional values, a strong work ethic, and expertise in specific domains. The management team also has a deep understanding of client expectations. In short, Rapid Eagle Technologies is an IT company that focuses on testing solutions, brings together a skilled team with industry expertise, and strives to meet client expectations.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Fremont, CA, US

Year founded

2005

Social media

Twitter

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