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Embedded Machine Learning Engineer Jobs in Aliso Viejo, CA

FieldAI

Senior Machine Learning Platform Engineer

Irvine, CA · On-site

$110K - $152K/yr

The Senior Machine Learning Platform Engineer will design and manage scalable ML infrastructure, develop cloud-based pipelines, and ensure the reliability of MLOps workflows while mentoring junior ...

TRL11, Inc.

Sr Algorithms/Video Engineer

Irvine, CA · On-site

$150K - $220K/yr

... machine learning and computer vision algorithms and workflows. * Strong programming skills in C/C++, Python required, with experience in embedded software development a plus. * Solid understanding of ...

TRL11, Inc.

Sr Algorithms/Video Engineer

Irvine, CA · On-site

$150K - $220K/yr

... machine learning and computer vision algorithms and workflows. * Strong programming skills in C/C++, Python required, with experience in embedded software development a plus. * Solid understanding of ...

TRL11, Inc.

Sr Algorithms/Video Engineer

Irvine, CA · On-site

$150K - $220K/yr

... machine learning and computer vision algorithms and workflows. * Strong programming skills in C/C++, Python required, with experience in embedded software development a plus. * Solid understanding of ...

3ds

AI/ML Developer

Long Beach, CA · On-site

$140K - $160K/yr

DASSAULT SYSTEMES is seeking an AI / Machine Learning Engineer to join our R&D organization. This individual will contribute to the design, development, and continuous improvement of generative AI ...

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All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Aliso Viejo, CA

Embedded Machine Learning Engineer information

See Aliso Viejo, CA salary details

$74.8K

$163.8K

$185.8K

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

As of Sep 2, 2026, the average yearly pay for embedded machine learning engineer in Aliso Viejo, CA is $163,821.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,400.00 and $184,800.00 per year, depending on experience, location, and employer.

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 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 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 are popular job titles related to Embedded Machine Learning Engineer jobs in Aliso Viejo, CA?

For Embedded Machine Learning Engineer jobs in Aliso Viejo, CA, the most frequently searched job titles are:

What cities near Aliso Viejo, CA are hiring for Embedded Machine Learning Engineer jobs?

Cities near Aliso Viejo, CA with the most Embedded Machine Learning Engineer job openings:

Embedded Machine Learning Engineer jobs near you

Machine Learning Research Engineer

Anduril Industries

Costa Mesa, CA • On-site

$219K/yr

Full-time

Re-posted 29 days ago

Anduril rating

9.1

Company rating: 9.1 out of 10

Anduril

Based on 17 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 76,515 frontline employees who took The Breakroom Quiz

Job description

ABOUT THE TEAM

Anduril's Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. AI Engineers on Anduril's Frontier AI team build edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. 

WHAT YOU'LL DO
  • Distill and fine-tune transformer architectures so they can be deployed onto edge devices or compute denied environments
  • Propose and prototype LLM-based Agentic systems that help solve real world problems, leveraging the latest state-of-the-art techniques in the field
  • Develop and maintain mission relevant benchmarks
  • Work cross-functionally with different business lines across Anduril to help discover and scope new research problems
REQUIRED QUALIFICATIONS
  • BS in Computer Science, Machine Learning, Electrical Engineering, or related field
  • 5+ years experience developing and benchmarking ML algorithms
  • Experience pushing and maintaining ML algorithms in production
  • Strong Python skills with experience in ML frameworks such as PyTorch
  • Must be a U.S. Person due to required access to U.S. export controlled information or facilities
PREFERRED QUALIFICATIONS
  • Experience fine-tuning transformer-based model
  • Experience deploying deep-learning based models to edge devices or air gapped environments
  • Prior experience in defense tech or start-up

Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.

What Anduril employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

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