ZipRecruiter

Log In

1

Embedded Machine Learning Internship Jobs in Berkeley, CA

Aquabyte

Embedded Software Engineer

San Francisco, CA · On-site

$154K - $203K/yr

Through custom underwater cameras, computer vision, and machine learning we are able to quantify ... Improve our embedded Linux build and deployment process * Develop software to automate hardware ...

Sesame

Embedded Engineer

San Francisco, CA · On-site

$175K - $280K/yr

Experience with machine learning frameworks & deployment. * Experience with Nordic, Qualcomm, and/or embedded ML accelerators is a plus. Experience with IoT devices is a plus. Experience with ARM and ...

Parspec

Machine Learning Engineer - 1

San Mateo, CA · On-site

$13/hr

The Opportunity We're looking for a Machine Learning Engineer 1 to join our AI team in San Mateo ... Experience: 0-2 years in ML/AI (internships, academic projects, or early-career roles count) * ML ...

next page

Showing results 1-20

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

Embedded Machine Learning Internship information

See Berkeley, CA salary details

$31.2K

$52.1K

$107.8K

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

As of Jun 9, 2026, the average yearly pay for embedded machine learning internship in Berkeley, CA is $52,141.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,800.00 and $56,300.00 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 Berkeley, CA? For Embedded Machine Learning Internship jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning Internship jobs in Berkeley, CA look for? The top searched job categories for Embedded Machine Learning Internship jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Embedded Machine Learning Internship jobs? Cities near Berkeley, 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 Berkeley, CA as of June 2026, with employment types broken down into 1% Internship, 39% Full Time, 57% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $52,141 per year, or $25.1 per hour.
Senior Machine Learning Engineer - System Experience Personalization

Senior Machine Learning Engineer - System Experience Personalization

Apple

San Francisco, CA • On-site

$144K - $190K/yr

Full-time

Posted 5 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Our team is looking for you to help make iOS more intelligent, proactive and personal. Our team is part the core iOS experience, using privacy preserving on-device intelligence to drive new experiences that touch the lives of millions of Apple customers every day. ..We are responsible for personalizing core system experiences, such as helping you manage and summarize notifications, get the most relevant widgets in smart stacks, as well as predicting what apps you will launch next. This is just the start of making iOS more intelligent and personal. In our team you will bring expertise in software engineering to create experiences that surprise and delight our customers every day!
You will work closely with talented Software and ML engineers on our team, and across Apple to design, architect and implement new experiences across iOS and all Apple platforms.As we build the future of iOS, you will be responsible for driving the development of the machine learning models to power them. You will provide technical leadership across a wide variety of products and features, we will look to you to create innovative data and machine learning solutions. The work requires delivering high quality features while adhering to device power and performance constraints!You will work closely with other talented engineers on our team and cross functional partners to design, implement and scale machine learning solutions to deliver new experiences across iOS and other platforms within Apple. We are passionate about user experience and privacy. Our mission is to craft user experiences which leverage the power of machine learning and on-device intelligence to preserve our customers privacy. You will be a key addition to the team helping to build state-of-the art intelligence for millions of customers...
M.S. or PhD in Machine Learning, Computer Science or related field.5+ Years of proven experience building machine learning systemsComprehensive understanding of machine learning algorithms, deep learning architectures, supervised, unsupervised and reinforcement learning modeling techniques, and their performance attributes.
Experience in resource constrained computing (embedded systems or mobile development)Strong foundation in Computer Science fundamentals and Software engineering best practicesProficiency with machine learning libraries such as TensorFlow, Scikit-learn, PyTorch, or similar frameworksExperience working with large scale and real world datasets for classification, regression, ranking, or recommendation problems

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