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Machine Engineer Jobs in California (NOW HIRING)

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 ...

Machine Learning Engineer

San Diego, CA · On-site

$122.80K - $184.20K/yr

Engineering Group, Engineering Group > Machine Learning Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation ...

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 ...

... 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 ...

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 ...

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 ...

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 ...

Machine Learning Engineer The Opportunity Join Adobe and be at the forefront of driving digital transformation. As a Machine Learning Engineer, you will play a key role in developing machine learning ...

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and ...

The Senior Machine Learning Engineer will be responsible for designing, building, and scaling advanced software systems to automate Design for Manufacturing analysis, utilizing deep learning models ...

We're seeking an outstanding ML Engineer to join our data team and help build out best-in-class machine learning solutions on our platform, powering innovative solutions in marketing & sales and ...

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Machine Engineer information

See California salary details

$31.1K

$127.1K

$191K

How much do machine engineer jobs pay per year?

As of May 30, 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 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 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 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 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.

Infographic showing various Machine Engineer job openings in California as of May 2026, with employment types broken down into 86% Full Time, 10% Part Time, 2% Contract, and 2% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $127,083 per year, or $61.1 per hour.

Machine Learning Engineer

Your Personal AI

San Francisco, CA • On-site, Remote

Full-time

Posted 8 days ago


Job description

We are looking for a highly skilled and innovative Machine Learning Engineer to join our dynamic team at Your Personal AI. In this role, you will be responsible for designing, developing, and deploying state-of-the-art machine learning models that drive the core of our AI-driven solutions. You will collaborate closely with cross-functional teams to identify challenges, create scalable algorithms, and implement machine learning systems that solve real-world problems.
Machine Learning Engineer at Your Personal AI
We are looking for a talented Machine Learning Engineer to join our AI Research and Development department at Your Personal AI. As a Machine Learning Engineer, you will be responsible for developing and implementing machine learning algorithms to enhance our AI technologies.
Your main tasks will include analyzing and interpreting complex data sets, collaborating with cross-functional teams to design and deploy machine learning models, and continuously improving our AI systems.
  • Develop and implement machine learning algorithms
  • Analyze and interpret complex data sets
  • Collaborate with cross-functional teams
  • Design and deploy machine learning models
  • Continuously improve AI systems

If you are passionate about AI and have a strong background in machine learning, we would love to hear from you. Join us at Your Personal AI and be part of a dynamic team driving innovation in artificial intelligence.
Job Requirements for Machine Learning Engineer at Your Personal AI
Please ensure that the job requirements for the Machine Learning Engineer role at Your Personal AI in the AI Research and Development department include the following:
  • Strong proficiency in machine learning algorithms and techniques
  • Experience with programming languages such as Python, R, or Java
  • Ability to work with large datasets and perform data analysis
  • Knowledge of deep learning frameworks like TensorFlow or PyTorch
  • Experience in developing and deploying machine learning models
  • Strong problem-solving skills and analytical thinking
  • Excellent communication and teamwork abilities