ZipRecruiter

Log In

1

Embedded Machine Learning Internship Jobs in Berkeley, CA

Sesame

Embedded OS Architect

San Francisco, CA · On-site

$190K - $320K/yr

As an Embedded OS Architect, you will be critical in designing and developing the next-generation ... Familiarity with modern AI workloads and optimizing OS-level interactions for machine learning.

femtoAI

Audio Deep Learning Engineer

San Bruno, CA · On-site

Drive innovation in model efficiency, compression, and deployment on embedded platforms. * Leverage ... Desired Skills and Experience Deep learning, Machine learning, DSP, Python, PyTorch Benefits ...

next page

Showing results 1-20

All 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 Jul 5, 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
Embedded OS Architect

Embedded OS Architect

Sesame

San Francisco, CA • On-site

$190K - $320K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago

Job description

About Sesame
Sesame believes in a future where computers are lifelike - with the ability to see, hear, and collaborate with us in ways that feel natural and human. With this vision, we're designing a new kind of computer, focused on making voice agents part of our daily lives. Our team brings together founders from Oculus and Ubiquity6, alongside proven leaders from Meta, Google, and Apple, with deep expertise spanning hardware and software. Join us in shaping a future where computers truly come alive.
About the Role
A device intended for a new kind of human-machine interface requires a new kind of operating system. As an Embedded OS Architect, you will be critical in designing and developing the next-generation operating system for Sesame's AI-driven computing platform. You will lead architectural decisions, optimize system performance, and ensure seamless integration of hardware and software. Your expertise in building operating systems will help define the foundation for a new class of intelligent, responsive, and real-time computing experiences.
Responsibilities:
  • Architect and develop a custom embedded operating system optimized for AI-driven, real-time consumer applications.
  • Design and implement core OS components, including kernel, device drivers, memory management, process scheduling, and inter-process communication.
  • Optimize system performance, power efficiency, and real-time responsiveness.
  • Work closely with hardware teams to ensure seamless integration with custom silicon and peripherals.
  • Define and enforce security, reliability, and scalability best practices within the OS stack.
  • Drive OS bring-up on new hardware platforms, debugging low-level system issues.
  • Evaluate and integrate open-source or proprietary OS components where applicable.
  • Collaborate with application developers to ensure smooth and efficient interaction between the OS and higher-level software stacks.
Required Qualifications:
  • 10+ years of experience in operating system development, with contributions to major OS projects (Linux, QNX, RTOS, AOSP, etc.).
  • Deep expertise in kernel development, scheduling, memory management, and low-level systems programming.
  • Strong proficiency in C/C++ and assembly programming for embedded architectures.
  • Experience with hardware-software co-design, including bootloaders, BSP development, and device drivers.
  • Hands-on experience with debugging tools such as JTAG, GDB, and logic analyzers.
  • Strong understanding of security, sandboxing, and OS hardening techniques.
Preferred Qualifications:
  • Experience architecting OS platforms for AI, AR/VR, or edge computing applications.
  • Familiarity with modern AI workloads and optimizing OS-level interactions for machine learning.
  • Knowledge of distributed or microkernel-based OS architectures.
  • Prior experience with power management and performance tuning for embedded systems.
  • Contributions to open-source operating system projects.

Sesame is committed to a workplace where everyone feels valued, respected, and empowered. We welcome all qualified applicants, embracing diversity in race, gender, identity, orientation, ability, and more. We provide reasonable accommodations for applicants with disabilities. Contact careers@sesame.com for assistance.
Full-time Employee Benefits:
  • 401 (k) max employer match: 3.5% of compensation
  • 100% employer-paid health, vision, and dental benefits for you and your dependents
  • Unlimited PTO and sick time
  • Flexible spending account with employer matching up to $1,650/year (medical FSA)
  • Guardian Employee Assistance Program (EAP)
  • Opportunity to share in the company's success with competitive stock options

Benefits do not apply to contingent/contract workers.

Apply