ZipRecruiter

Log In

1

Hourly Embedded Machine Learning Jobs in California

Apple

Embedded ISP Engineer

San Diego, CA

$142K - $263K/yr

... and machine learning techniques, all while contributing to the future of photography and ... Build drivers for advanced image processing pipelines in embedded systems, working with the latest ...

Apple

Camera Embedded Software Engineer

Cupertino, CA · On-site

$162K - $213K/yr

As part of the team you would work on core camera/ISP/Machine learning technologies, including ... 3+ years of embedded software development experience Proficiency in C/C++ Proficiency in ...

Apple

Camera Embedded Software Engineer

Cupertino, CA

$150K - $277K/yr

As part of the team you would work on core camera/ISP/Machine learning technologies, including ... Design and implement camera features in embedded systems for Apple products. You will work with ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

Implement physiological parameter measurement algorithms on embedded systems * Deliver high quality ... Algorithm development experience using machine learning techniques such as regression ...

Masimo

Sr Engineer, AI/Machine Learning

Irvine, CA · On-site

$140K - $170K/yr

Implement physiological parameter measurement algorithms on embedded systems * Deliver high quality ... Algorithm development experience using machine learning techniques such as regression ...

Qualcomm

Machine Learning Researcher

San Diego, CA · On-site

... and embedded intelligence. • Publish in top-tier conferences (e.g., NeurIPS, ICML, ICLR, CVPR ... machine learning models, systems, platforms, or methods. Preferred : • PhD in Computer Science ...

Intuitive

Embedded Software Engineer - Platform

Sunnyvale, CA · On-site

$154K - $203K/yr

Support development and testing of embedded software for video networking, UI display, and machine learning applications on Linux-based systems * Develop and execute test plans to validate board ...

Sunday Inc

Embedded Software Engineer

Redwood City, CA · On-site

$161K - $211K/yr

You will collaborate closely with electrical, mechanical, software, and machine-learning teams to integrate our full robotics stack on a new compute. What You'll Do * Own the embedded software stack ...

next page

Showing results 1-20

All JobsHourly Embedded Machine Learning JobsHourly Embedded Machine Learning Jobs in California

Hourly Embedded Machine Learning information

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

To thrive as an Hourly Embedded Machine Learning Engineer, you need a solid background in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often supported by a degree in computer engineering or a related field. Familiarity with tools such as TensorFlow Lite, embedded Linux, microcontroller development environments, and model optimization frameworks is typically required. Strong problem-solving skills, adaptability, and effective communication help you address complex technical challenges and collaborate with cross-functional teams. These skills are crucial for designing efficient, real-time ML solutions that operate reliably on resource-constrained embedded devices.

How does an Hourly Embedded Machine Learning professional typically collaborate with hardware and software teams during a project?

As an Hourly Embedded Machine Learning professional, you will often work closely with both hardware and software engineering teams to ensure that machine learning models are efficiently integrated into embedded systems. This typically involves frequent communication to align on hardware constraints, such as memory and processing power, and to optimize algorithms for real-time performance. You may also participate in joint debugging sessions and code reviews to address integration issues and streamline deployment. Collaboration is key, as successful projects depend on the seamless interaction between machine learning solutions and the embedded hardware platform.

What is an Hourly Embedded Machine Learning engineer?

An Hourly Embedded Machine Learning engineer is a professional who specializes in developing and deploying machine learning models on embedded systems, such as microcontrollers, IoT devices, or edge devices, and is compensated on an hourly basis rather than a salaried or project-based arrangement. These engineers work to optimize algorithms so they can run efficiently on devices with limited computing power, memory, and energy resources. Their responsibilities often include model selection, quantization, optimization, and integration of machine learning pipelines into hardware. Hiring on an hourly basis allows for flexibility in project scope and duration, making it ideal for companies with specific, time-limited needs. They often collaborate with hardware engineers, data scientists, and software developers to create intelligent embedded solutions.

What is the difference between Hourly Embedded Machine Learning vs Hourly Data Scientist?

AspectHourly Embedded Machine LearningHourly Data Scientist
CredentialsKnowledge of embedded systems, programming, ML algorithmsDegree in Data Science, Statistics, or related field
Work EnvironmentEmbedded hardware, IoT devices, real-time systemsData analysis, modeling, visualization in office or cloud
Industry UsageConsumer electronics, automotive, IoT devicesFinance, healthcare, marketing, research

Hourly Embedded Machine Learning specialists focus on integrating ML models into embedded systems and hardware, often working with IoT devices and real-time constraints. In contrast, Hourly Data Scientists analyze large datasets to develop predictive models primarily in cloud or office environments. While both roles require programming skills, embedded ML emphasizes hardware integration, whereas data science centers on data analysis and visualization.

What are the most commonly searched types of Embedded Machine Learning jobs in California? The most popular types of Embedded Machine Learning jobs in California are:
What are popular job titles related to Hourly Embedded Machine Learning jobs in California? For Hourly Embedded Machine Learning jobs in California, the most frequently searched job titles are:
What job categories do people searching Hourly Embedded Machine Learning jobs in California look for? The top searched job categories for Hourly Embedded Machine Learning jobs in California are:
What cities in California are hiring for Hourly Embedded Machine Learning jobs? Cities in California with the most Hourly Embedded Machine Learning job openings:
Hourly Embedded Machine Learning jobs near you
Infographic showing various Hourly Embedded Machine Learning job openings in California as of July 2026, with employment types broken down into 1% Internship, 89% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.
Embedded ISP Engineer

Embedded ISP Engineer

Apple

San Diego, CA

$142K - $263K/yr

Full-time

Medical, Dental, Retirement

Posted 9 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 667 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Apple’s Camera Firmware team is seeking an outstanding firmware engineer to help drive innovative technologies for Apple’s iconic products! As part of this dynamic team, you will work on core camera technologies, including Apple's custom Image Signal Processing (ISP) pipeline, hardware components, and machine learning techniques, all while contributing to the future of photography and videography. You’ll play a key role in crafting how Apple develops, tests, and manufactures its products. Our close-knit team champions an environment of rapid product iteration, innovation, and collaboration across functional teams, offering you autonomy to make a significant impact on our products.
Description
In this role, you will develop, maintain, and troubleshoot firmware for Apple’s camera systems. Your responsibilities will include:
- Developing Low-Level Device Drivers: Build drivers for advanced image processing pipelines in embedded systems, working with the latest SoC blocks and chipsets used in Apple products.
- Platform Validation and Development: Integrate and configure camera sensors and power management units for Apple products.
- Diagnosing and Troubleshooting Platform Issues: Identify and resolve performance and memory usage bottlenecks in embedded systems to ensure efficient functionality and stability.
- Designing and Implementing Camera Features: Build camera functionalities for embedded systems in Apple products, working multi-functionally to define features, communication protocols, and clear implementation specifications.
- Supporting Hardware Validation and Factory Testing: Contribute to hardware validation, offering firmware support during factory testing and implementing features to aid in hardware diagnostics and testing.
This is a highly collaborative product development role, requiring close coordination with teams such as Silicon Design, QA, and Machine Learning. The fast-paced, dynamic environment is ideal for a proactive, determined individual.
Preferred Qualifications
Deep expertise and hands-on experience with ARM-based SoCs.
Strong background in image and video signal processing, including ISP and machine learning algorithms.
Proven ability to optimize system performance and improve the efficiency of embedded systems.
Exceptional problem-solving skills with a keen attention to detail.
Previous experience in camera systems or related fields is a plus.
Minimum Qualifications
BS and a minimum of 3 years relevant industry experience
Hands-on experience in embedded software development
Proficiency in C/C++
Proficiency in development of multi-thread software within embedded RTOS system
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $142,300 and $263,300, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

View All Apple Jobs

Apply