ZipRecruiter

Log In

1

Machine Engineer Jobs in California (NOW HIRING)

Machina Labs

Machine Learning Engineer

Chatsworth, CA

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...

Machina Labs

$150 - $200/hr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...

Machina Labs

Machine Learning Engineer

Chatsworth, CA · On-site

$160K - $190K/yr

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy ...

NR Consulting

Machine Learning Engineer

Fremont, CA · On-site

NR Consulting is a company focused on innovative technology solutions, and they are seeking a Machine Learning Engineer to develop and deploy lightweight machine learning models for edge AI ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

Pattern AI

Machine Learning Engineer

San Mateo, CA · On-site

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 ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site +1

Who We're Looking For As a Machine Learning Engineer in Delivery, you are a problem solver who stays anchored to impact. You are someone who can grasp advanced engineering concepts across multiple ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

They are seeking a Machine Learning Engineer to design and develop scalable training pipelines for multimodal AI systems, collaborating with data engineering and research teams to drive the technical ...

Abaka AI

Machine Learning Engineer

Mountain View, CA · On-site

$175K - $275K/yr

About the Role We're hiring our first Machine Learning Engineer in the United States, a foundational role that will shape how Abaka builds, trains, and optimizes multimodal AI systems. You will own ...

Qubeaxis

Machine Learning Engineer

San Francisco, CA · On-site

$150 - $200/hr

Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML Platform team builds intelligent systems that power recommendations, forecasting, ranking ...

Apple Inc.

Machine Learning Engineer

Sunnyvale, CA · On-site

$200 - $250/hr

Description 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 ...

General Atomics

Machine Learning Engineer

Poway, CA · On-site

We have an exciting opportunity for a Machine Learning Engineer in Poway, CA. The Autonomy and Artificial Intelligence Solutions Software group is charted to develop and deploy end-to-end autonomous ...

Lyft

Machine Learning Engineer

San Francisco, CA · On-site

Our highly motivated Machine Learning Engineers work on these challenging problems and define solutions to directly impact various aspects of our core business. The Fulfillment group, within the ...

previous pagenext page

Showing results 21-40

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 Sep 9, 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 is a machine engineer?

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 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 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.

How much is the salary of a machine engineer?

The average salary of a machine engineer varies by location and experience but typically ranges from $60,000 to $100,000 annually. Entry-level positions may start lower, while experienced engineers with specialized skills or certifications can earn higher salaries, especially in manufacturing or industrial settings.

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 September 2026, with employment types broken down into 1% Internship, 74% Full Time, 22% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $127,083 per year, or $61.1 per hour.

Machine Learning Engineer

San Francisco, CA • On-site

RZR Global Inc.
See more jobs at RZR Global Inc.external

Full-time

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

Job description

Who are we?

RZR Global is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our audience engagement platform includes creative strategy and execution. We handle 5 million mobile ad requests per second from over 10 billion devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.

Role Overview

We are seeking a motivated and detail-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with Senior MLE and other team members to drive impactful machine learning projects and contribute to innovative solutions.

Key Responsibilities

  • Support the development of machine learning models to address challenges in programmatic advertising, such as predicting user responses, forecasting bid landscapes, and detecting fraud.

  • Collaborate with senior data scientists and cross-functional teams (product, engineering, and analytics) to integrate models into production workflows.

  • Analyze the impact of integrating new data sources and features into our models.

  • Build and maintain data pipelines to process and prepare large datasets for model training and evaluation.

  • Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities.

  • Document experiments, assumptions, and outcomes; maintain reproducibility

Required Skills / Experience

  • Bachelor's or Master's degree in Mathematics, Physics, Computer Science, or a related technical field.

  • At least 1 year of professional experience in machine learning, statistical analysis, and data analysis.

  • Experience with machine learning techniques such as regression, classification, and clustering.

  • Proficiency in Python and SQL and familiarity with big data tools (e.g., Spark) and ML libraries (e.g., TensorFlow, PyTorch, Scikit-Learn).

  • Strong grasp of probability, statistics, and data analysis principles.

  • Ability to work effectively in a team environment, with good communication skills to explain complex concepts to diverse stakeholders.

Nice-to-Have

  • Familiarity with system programming languages including C++ and Rust is a plus.

  • Exposure to online inference systems, gRPC/REST model endpoints, or streaming features (Kafka/Flink)

  • Ad-tech familiarity: auction dynamics, pacing, fraud signals, creative personalization.

Apply