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Embedded Machine Learning Internship Jobs in California

Machine Learning Engineer

San Diego, CA · On-site

$122.80K - $184.20K/yr

As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques ... of experience in embedded system development and optimization with application to a specific ...

Machine Learning Researcher

San Jose, CA · On-site

$150K - $290K/yr

Machine Learning Researcher Location: 2550 N First Street Suite 250, San Jose, California 95131 ... Implement POCs in Python/C++ to validate ML ideas on embedded hardware * Conduct research in ...

... shared AI platform and embedded across products- Design, build, and own end-to-end GenAI ... machine learning concepts, including supervised and unsupervised learning; exposure to ...

Implement and optimize ML models on embedded platforms, including FPGA and custom ASIC solutions ... Strong hands-on experience in machine learning, with a focus on edge AI, on-device inference, and ...

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Embedded Machine Learning Internship information

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 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 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 the most commonly searched types of Embedded Machine Learning jobs in California? The most popular types of Embedded Machine Learning jobs in California are:
What job categories do people searching Embedded Machine Learning Internship jobs in California look for? The top searched job categories for Embedded Machine Learning Internship jobs in California are:
What cities in California are hiring for Embedded Machine Learning Internship jobs? Cities in California with the most Embedded Machine Learning Internship job openings:
Infographic showing various Embedded Machine Learning Internship job openings in California as of May 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution.
Machine Learning Engineer

Other

Posted 3 days ago


Job description

THE COMPANY

Silvus Technologies , a leading provider of advanced MANET and MIMO communications systems, is reshaping mesh network technology for mission-critical applications – on the ground, in the air and at sea. Its battle-proven StreamCaster family of MANET radios and proprietary MN-MIMO waveform provides the vital communications link for defense, law enforcement and public safety agencies around the world, and in the toughest operational environments.

With deep roots in DARPA research, Silvus Technologies develops world-class advanced communications technologies that are reshaping the tactical communications landscape. From pure line-of-sight to extreme non-line-of-sight, Silvus radios form a self-healing, self-forming mesh network, enabling secure and reliable connectivity, including video and high-bandwidth data.

Silvus Technologies is a wholly owned subsidiary of Motorola Solutions, Inc.

Would you like to join an incredibly talented group of people, doing very challenging work, with the prime directive of “ Keeping Our Heroes Connected (https://www.youtube.com/watch?v=VCJ-amP0GLc) ”?

THE OPPORTUNITY

Silvus is seeking a Machine Learning Engineer who will report to the R&D Director, Machine Learning on the R&D team. The successful individual in this role will focus on applying machine learning and data-driven techniques to improve the performance, efficiency, and adaptability of Silvus’ advanced MIMO radios and wireless networking systems. This individual will work closely with experts in wireless communications, DSP, networking, and embedded systems to develop ML-driven features that solve real-world problems in dynamic and challenging RF environments.

This position is based at Silvus Technologies’ headquarters in the heart of vibrant West Los Angeles, CA, and is on a hybrid schedule. A minimum of 3 days onsite per week is expected. On-site days are Mondays, Wednesdays, and Thursdays.

The following is a list of at least some of the current essential job functions of the position. Management may assign or reassign duties and responsibilities at any time at its discretion.

ROLE AND RESPONSIBILITIES

  • Research, design, and implement machine learning algorithms to enhance performance in wireless communication systems (e.g., link adaptation, interference mitigation, anomaly detection, spectrum sensing).

  • Analyze real-world RF datasets to extract insights and develop predictive models.

  • Develop software prototypes and integrate ML algorithms with Silvus’ radio firmware and networking stack.

  • Collaborate with cross-functional teams to define ML use cases and evaluate the impact of deployed models.

  • Contribute to the design of data pipelines and infrastructure for training, testing, and validating models.

  • Participate in performance benchmarking and iterative improvement cycles.

  • Stay current with the latest Machine Learning research for wireless and embedded systems.

  • Perform other related duties of which the above are representative.

REQUIRED QUALIFICATIONS

  • Bachelor of Science degree in Electrical Engineering, Computer Science, Computer Engineering, or related field plus a minimum of 2 years of experience in machine learning, with demonstrated application to real-world problems; no experience required with an advance degree (MS or PhD)

  • Strong foundation in supervised and unsupervised learning and statistical modeling.

  • Experience with Python ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, etc.).

  • Exposure to MATLAB or C/C++ for signal processing algorithm development.

  • Must be a U.S. Citizen due to clients under U.S. government contracts.

  • All employment is contingent upon the successful clearance of a background check and drug test.

PREFERRED KNOWLEDGE, SKILLS, AND ABILITIES

  • MS. or Ph.D. in Electrical Engineering, Computer Science, or a related field.

  • Demonstrated experience with RF signal classification, anomaly detection, or spectrum monitoring.

  • Proficiency in MATLAB or C/C++ for signal processing algorithm development.

  • Familiarity with wireless communication concepts (e.g., PHY/MAC layers, MIMO, OFDM, spectrum access).

  • Familiarity with embedded ML, real-time systems, or deploying ML on edge devices.

  • Background in adaptive modulation, beamforming, or cognitive radio techniques.

  • Experience working with wireless standards such as 3GPP, IEEE 802.11/15, or military waveforms.

  • Experience with GPU acceleration or model optimization for constrained environments.

  • Excellent communication and collaboration skills.

WORKING CONDITIONS AND PHYSICAL REQUIREMENTS

  • Office environment.

  • Outdoor environment for demos.

  • Occasional exposure to heat, cold, and allergens while performing tests or demonstrations in the field.

  • While performing the duties of this job, the employee is required to do the following:

  • Lift equipment up to 20 lbs. for the set-up of demonstrations and testing.

  • Perform bending and reaching movements to place items on lower and higher shelves.

#silvuscareers

COMPENSATION

The pay range is NOT a guarantee. It is based on market research and peer data, and will vary depending on the candidate’s experience and qualifications.

CA Pay Range

$100,000—$140,000 USD

Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.

NOTE - As a US Federal Contractor, Silvus Technologies requires that ALL candidates being considered for employment for any position (regardless of level) MUST be a U.S. Person (permanent resident or citizen). Stricter U.S. Citizen ONLY requirements (needed for some Engineering or R&D roles) will be included in the Required Qualifications section of the posted position. This does NOT apply to international positions; only job postings for positions located in the US.

Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.

We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you’d like to join our team but feel that you don’t quite meet all of the preferred skills, we’d still love to hear why you think you’d be a great addition to our team.

We’re committed to providing an inclusive and accessible recruiting experience for candidates with disabilities, or other physical or mental health conditions. To request an accommodation, please complete this Reasonable Accommodations Form (https://docs.google.com/forms/d/e/1FAIpQLSdtFsy5jUxYcf7d7VZGiX_Ennsz162ZUEP6uxLgsdslTV5xgg/viewform) so we can assist you.