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Embedded Machine Learning Engineer Jobs in Citrus Heights, CA

Pwc

NGA AI Engineer Manager

Sacramento, CA · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Staffingine LLC

AI Engineer

Woodland, CA · On-site

AI Engineer Job Location: Woodland - California Job Type: Contract ... Design develop and deploy machine learning models and algorithms using Python Lead data science ...

Deloitte

Lead AI and Data Science Engineer II

Sacramento, CA · On-site

$109K - $144K/yr

Data science applies statistical analysis, machine learning, and AI to identify meaningful patterns ... Lead AI and Data Science Engineer II Drive the design and delivery of advanced analytics ...

UC Davis Health

Senior Data Scientist

Sacramento, CA · On-site

$116K - $241K/yr

Fluency in the Python programming language and competency using Python's standard machine learning libraries, and a willingness to learn (if necessary) other programming languages such as R and SQL.

Pwc

US Tech - AI Engineering Manager

Sacramento, CA · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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Showing results 21-40

All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Citrus Heights, CA

Embedded Machine Learning Engineer information

See Citrus Heights, CA salary details

$72.6K

$159.1K

$180.5K

How much do embedded machine learning engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for embedded machine learning engineer in Citrus Heights, CA is $159,119.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,400.00 and $179,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an embedded machine learning engineer?

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What does an embedded machine learning engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are some common challenges faced by embedded machine learning engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

What is the difference between Embedded Machine Learning Engineer vs Firmware Engineer?

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What job categories do people searching Embedded Machine Learning Engineer jobs in Citrus Heights, CA look for?

The top searched job categories for Embedded Machine Learning Engineer jobs in Citrus Heights, CA are:

What cities near Citrus Heights, CA are hiring for Embedded Machine Learning Engineer jobs?

Cities near Citrus Heights, CA with the most Embedded Machine Learning Engineer job openings:

Embedded Machine Learning Engineer jobs near you
Infographic showing various Embedded Machine Learning Engineer job openings in Citrus Heights, CA as of June 2026, with employment types broken down into 82% Full Time, 12% Part Time, and 6% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $159,119 per year, or $76.5 per hour.

Senior Data & AI Analyst / BI Engineer - (Power BI | SQL | Generative AI | Snowflake | AWS Redshift)

Projas Technologies, LLC

Sacramento, CA • On-site

$115K - $156K/yr

Other

Re-posted 19 days ago

Job description

We re Hiring! Senior Data & AI Analyst / BI Engineer -
(Power BI | SQL | Generative AI | Snowflake | AWS Redshift)

Looking for a highly skilled data professional to join an exciting, high-impact project. If you re passionate about Data Analytics, Business Intelligence, and Generative AI, we want to talk to you!

Prior experience with State projects is highly desired

Minimum Technical Qualifications

  • 2+ years of hands-on experience using Generative AI or Machine Learning to deliver data analytics solutions.

  • 5+ years designing & developing Power BI dashboards, data models, and BI solutions (Microsoft Power BI).

  • 5+ years of advanced SQL development writing and optimizing queries, stored procedures, functions, and views with strong database fundamentals.

  • 3+ years building data solutions using Snowflake or AWS Redshift data warehouses.

  • Bachelor s degree in Computer Science, Information Technology, or equivalent technical background.

  • 5+ years of Agile & SDLC experience, contributing to iterative delivery and cross-functional collaboration.

  • 5+ years of Power BI DAX expertise measures, queries, calculations, and complex data models.

  • Experience in State agencies, Financial Services, Investment portfolios, or other regulated industries (highly preferred).

Who Should Apply?

Professionals who thrive in data-driven environments, enjoy solving complex problems, and excel at delivering scalable analytics solutions using the latest cloud and AI technologies.

Power BI Developer, BI Engineer, Data Analyst, Data Engineer, SQL Developer, Snowflake Engineer, AWS Redshift, Generative AI, Machine Learning, DAX Expert, Agile, Data Modeling, Cloud Data Warehouse, Analytics Engineer, Business Intelligence, Enterprise Data.

Apply