ZipRecruiter

Log In

1

Embedded Machine Learning Internship Jobs in Irvine, CA

Vocalytics

Sr. Full Stack Engineer

Newport Beach, CA · On-site +1

We also have teams working on embedded systems, computer vision, machine learning, mobile applications, and web interfaces and services. We use a variety of tools, which we regularly evaluate to make ...

Anduril Industries

RFML Engineer

Costa Mesa, CA · On-site

$110K - $144K/yr

Develop and execute the strategic vision for integrating machine learning into RF sensing, signal ... Experience with real-time signal processing, DSP platforms, or mixed-signal embedded systems.

previous page

Showing results 41-60

All JobsEmbedded Machine Learning JobsEmbedded Machine Learning Internship JobsEmbedded Machine Learning Internship Jobs in Irvine, CA

Embedded Machine Learning Internship information

See Irvine, CA salary details

$27.4K

$45.7K

$94.5K

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

As of Sep 5, 2026, the average yearly pay for embedded machine learning internship in Irvine, CA is $45,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,900.00 and $49,400.00 per year, depending on experience, location, and employer.

What is an embedded machine learning internship?

An Embedded Machine Learning Internship is a temporary position designed for students or recent graduates to gain hands-on experience in developing and deploying machine learning algorithms on embedded systems. These internships typically involve working with hardware such as microcontrollers, sensors, or edge devices, and using specialized tools to optimize machine learning models for low-power and resource-constrained environments. Interns collaborate with engineers and data scientists to create efficient, real-world AI solutions that run directly on devices rather than relying on cloud computing. This role helps bridge the gap between theoretical machine learning concepts and practical implementation on embedded platforms.

What are some typical projects or tasks I might work on during an embedded machine learning internship?

During an Embedded Machine Learning Internship, you can expect to work on projects such as optimizing machine learning models to run efficiently on hardware with limited resources, integrating AI algorithms into embedded systems (like microcontrollers or IoT devices), and performing real-time data processing. You'll likely collaborate closely with software engineers and hardware designers to test models on physical devices, debug performance issues, and contribute to documentation. These experiences provide practical exposure to the challenges of deploying AI in real-world, resource-constrained environments and help build skills valuable for a future career in embedded AI.

What are the key skills and qualifications needed to thrive as an embedded machine learning intern, and why are they important?

To thrive as an Embedded Machine Learning Intern, you need a background in computer science, electrical engineering, or a related field with strong programming skills in C/C++ and Python, as well as foundational knowledge of machine learning algorithms. Experience with embedded systems development tools (such as ARM Cortex, Raspberry Pi, or Arduino), version control systems, and familiarity with ML frameworks like TensorFlow Lite or Edge Impulse is often required. Analytical thinking, problem-solving ability, and effective teamwork are vital soft skills for success in this role. These skills and qualities are crucial for efficiently developing, optimizing, and deploying machine learning solutions on resource-constrained embedded platforms.

What are popular job titles related to Embedded Machine Learning Internship jobs in Irvine, CA?

For Embedded Machine Learning Internship jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Embedded Machine Learning Internship jobs in Irvine, CA look for?

The top searched job categories for Embedded Machine Learning Internship jobs in Irvine, CA are:

What cities near Irvine, CA are hiring for Embedded Machine Learning Internship jobs?

Cities near Irvine, CA with the most Embedded Machine Learning Internship job openings:

Embedded Machine Learning Internship jobs near you
Infographic showing various Embedded Machine Learning Internship job openings in Irvine, CA as of June 2026, with employment types broken down into 100% Internship. Highlights an 100% In-person job distribution, with an average salary of $45,709 per year, or $22 per hour.

Sr. Full Stack Engineer

Vocalytics

Newport Beach, CA • On-site, Remote

Contractor

Re-posted 10 days ago

Job description

WHAT WE DO

At Vocalytics, we make understanding noisy spaces simple, robust, and actionable. Vocalytics partners with hospitals, commercial real estate, smart cities, and governments to provide the most actionable acoustic intelligence for any space.

Backed by top VC's & Angels, we're growing fast, building the most powerful sound intelligence platform for the physical world.

Sound is everywhere - indoors, outdoors, underwater, and in the sky.

The past couple of years have proven noise in hospital rooms is especially painful.

It leads to poor experience, life-threatening outcomes, and costs hospitals more than $40B every year.

That's a lot of lives at stake and a very expensive problem to solve.

Vocalytics was founded to unlock value in today's noisy world from any connected microphone. Never has this mission been more important in a world that is more socially distanced and health-conscious.

Privacy is a fundamental human right, and trust is a core pillar of everything we build.

We are seeking a sr. full-stack engineer to help build the next version of our platform. This is a hands-on role we would like to see grow into leadership as we're moving quickly to serve a very challenged population in healthcare.

ABOUT THE JOB

As a key engineering role, you will be a foundational member of the growing Vocalytics engineering team. Our engineering team supports multiple hospitals, commercial real estate, and other enterprise facilities, with the most robust sound analytics and a fleet of edge based IoT devices. Our software is edge-based and must process thousands of sound events per minute. API's, databases, analytics, reporting, data retention policies, device fleet management, and more are areas of active development. We also have teams working on embedded systems, computer vision, machine learning, mobile applications, and web interfaces and services. We use a variety of tools, which we regularly evaluate to make sure developer productivity is protected, if not enhanced. We rely heavily on automation.

ABOUT YOU

Responsibilities

  1. Design and create the core software for Vocalytics' internal and customer-facing services. Write, review, and implement software architecture proposals in compliance with edge best practices.
  2. Be a foundational leader of our engineering team and work collaboratively with other developers on the team. Work collaboratively with DevOps, Product Design, Embedded Systems, AI/ML/Data Science, and other teams at Vocalytics.
  3. Test and document your work.

Qualifications

  1. Bachelor's degree and/or Master's degree, preferably in Computer Science, or equivalent experience.
  2. Proficient in ReactJS, NodeJS, Google Vue, and programming with CS training. Familiarity with Typescript or npm is desirable.
  3. Proficient in back-end programming in Python, preferably with FastAPI, Alembic, PostgresSQL, Pytorch/Tensorflow, and audio processing experience.
  4. Experience with Docker/Kubernetes is desirable.
  5. Recent participation in software development and deployment on a Tier 1 cloud service provider, IoT applications, machine learning, or embedded systems.
  6. Experience with wireless networking protocols, systems, and optimizing signal strength/coverage via wifi, PoE, cellular, LoRa, etc.
  7. Excited about working in a fast-paced, dynamic startup environment.
  8. Nice to have (and a bonus if interested in learning!):
    1. Natural Language Processing, Transformers, Deep Convolutional Neural Networks.
    2. Sound Source Localization, Beamforming, Scene Classification.
    3. Security, Encryption, and Anonymization Techniques.
    4. AWS EC2, S3, Sagemaker, Greengrass.

Vocalytics is your opportunity to join a fast-growing seed-stage startup solving real-world problems. Our management has built successful startups, so we understand work/life balance, don't take ourselves too seriously, and value everyone.

CAREERS

Vocalytics is committed to equal employment opportunities and providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications. Vocalytics encourages applicants of all ages.

NOTE TO RECRUITERS

Vocalytics will not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to Vocalytics, including unsolicited resumes sent to a Vocalytics mailing address, email address, directly to Vocalytics employees, or to the Vocalytics resume database will be considered Vocalytics property. Vocalytics will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume. Vocalytics will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees.

Employment Type: CONTRACTOR

Apply