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Internship Edge Ai Machine Learning Jobs in Riverside, CA

TRL11 is a venture backed deep tech / defence tech startup bringing cutting-edge video technology ... Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

SDLC Engineer - AI Trainer

Pomona, CA · Remote

$40 - $75/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

SDLC Engineer - AI Trainer

Orange, CA · Remote

$40 - $75/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

SDLC Engineer - AI Trainer

Rialto, CA · Remote

$40 - $75/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

SDLC Engineer - AI Trainer

Irvine, CA · Remote

$40 - $75/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

SDLC Engineer - AI Trainer

Corona, CA · Remote

$40 - $75/hr

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Internship Edge Ai Machine Learning information

See Riverside, CA salary details

$26.6K

$44.4K

$91.8K

How much do internship edge ai machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for internship edge ai machine learning in Riverside, CA is $44,426.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,900.00 and $48,000.00 per year, depending on experience, location, and employer.

What are Internship Edge AI Machine Learning positions?

Internship Edge AI Machine Learning positions are entry-level roles designed for students or recent graduates who want hands-on experience working with artificial intelligence and machine learning technologies, especially those related to 'edge' computing. These internships focus on developing, optimizing, and deploying AI/ML models that run on edge devices such as smartphones, IoT devices, and embedded systems, rather than in the cloud. Interns typically assist in research, data preparation, model training, and software development while gaining industry-relevant skills. These roles are ideal for individuals interested in both hardware and software aspects of AI. The experience gained can be valuable for future careers in data science, machine learning engineering, or AI research.

What are the key skills and qualifications needed to thrive as an Internship Edge AI Machine Learning professional, and why are they important?

To thrive in an Internship Edge AI Machine Learning role, you need a solid background in computer science, mathematics, and machine learning concepts, typically supported by coursework or relevant projects. Familiarity with programming languages like Python, machine learning libraries (such as TensorFlow or PyTorch), and cloud or edge computing platforms is highly valuable. Strong analytical thinking, problem-solving abilities, and effective teamwork skills help you adapt and contribute meaningfully in collaborative research and development environments. These competencies are crucial for innovating and deploying machine learning models on edge devices, ensuring impactful real-world AI solutions.

What is the difference between Internship Edge Ai Machine Learning vs Data Analyst?

AspectInternship Edge Ai Machine LearningData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsDegree in statistics, mathematics, or related field; proficiency in data tools
Work EnvironmentInternship setting, collaborative teams, research-focusedOffice environment, data-driven decision-making teams
Employer & Industry UsageTech companies, startups, research institutionsBusiness, finance, healthcare, marketing sectors

Internship Edge Ai Machine Learning roles typically focus on foundational skills in AI and machine learning, often as entry-level or internship positions. Data Analysts work across various industries analyzing data to inform business decisions. While both roles involve working with data, AI internships emphasize machine learning models, whereas Data Analysts focus on data interpretation and reporting.

What types of projects can I expect to work on during an Internship in Edge AI and Machine Learning?

As an intern in Edge AI and Machine Learning, you will likely work on projects that involve developing and optimizing machine learning models for deployment on edge devices such as smartphones, IoT sensors, or embedded systems. Typical tasks include data preprocessing, model training and evaluation, and implementing algorithms with resource constraints in mind. You may also collaborate with hardware engineers and software developers to ensure that your solutions run efficiently on limited hardware. This hands-on experience provides a strong foundation for understanding real-world AI deployment challenges and can open doors to more advanced roles in the future.
What are popular job titles related to Internship Edge Ai Machine Learning jobs in Riverside, CA? For Internship Edge Ai Machine Learning jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Internship Edge Ai Machine Learning jobs in Riverside, CA look for? The top searched job categories for Internship Edge Ai Machine Learning jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Internship Edge Ai Machine Learning jobs? Cities near Riverside, CA with the most Internship Edge Ai Machine Learning job openings:
Infographic showing various Internship Edge Ai Machine Learning job openings in Riverside, CA as of June 2026, with employment types broken down into 50% Internship, and 50% Full Time. Highlights an 100% In-person job distribution, with an average salary of $44,426 per year, or $21.4 per hour.

Sr Algorithms/Video Engineer

TRL11, Inc.

Irvine, CA

$150K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago


Job description

TRL11 is a venture backed deep tech / defence tech startup bringing cutting-edge video technology to Aerospace applications. Based in Irvine, CA, we are seeking highly passionate, skilled and experienced Algorithms/Video Engineers with a focus on cutting edge video processing technology, to join our team. You will be responsible for the design, development, and implementation of advanced computer vision and video processing pipelines to support our patent pending Space Aware Video Software Suite. Join our team and play a crucial role in shaping the future of Human Space Exploration and US National Security.

Responsibilities:

  1. Develop and implement computer vision algorithms on embedded systems, used for identifying, tracking and classifying anomalies, trends, and intent of airborne and ground based objects using high speed cameras.
  2. Design and optimize AI/ML models for deployment on resource-constrained embedded platforms, considering factors such as memory, processing power, and energy efficiency.
  3. Participate in the entire software development lifecycle, from requirements gathering and system design to testing, deployment, and maintenance.
  4. Perform algorithm evaluation and optimization to ensure efficient and accurate real-time performance of high frame rate machine vision systems.
  5. Stay up to date with the latest advancements in AI, machine learning, and computer vision, evaluate and propose innovative solutions to enhance our product offerings.
  6. Document and communicate technical concepts, algorithms, and implementation details effectively to team members and stakeholders.
  7. Experience debugging with video processing pipelines would be nice
  8. Mentor junior team members, providing guidance and technical expertise to foster their professional growth.

Requirements

  1. Bachelor's or higher degree in Computer Science, Data Science, Electrical Engineering, Physics or related field.
  2. Minimum of 3 years of industry experience in developing and implementing machine learning and computer vision algorithms and workflows.
  3. Strong programming skills in C/C++, Python required, with experience in embedded software development a plus.
  4. Solid understanding of AI/ML techniques, deep learning frameworks, and computer vision.
  5. Experience with hardware-software integration and optimization for embedded systems, including GPU acceleration, FPGA implementation, multi-core parallel processing.
  6. Experience working with video processing pipelines and workflows.
  7. Proficiency in working with popular embedded platforms, such as ARM-based SoCs and microcontrollers.
  8. Familiarity with basic image processing techniques, camera systems, and sensor integration.
  9. Knowledge of real-time operating systems (RTOS) and software development for embedded systems.
  10. Excellent problem-solving skills and the ability to work independently as well as in a team environment.
  11. Strong communication skills to effectively convey complex technical concepts and collaborate with cross-functional teams.

Nice to Have:

  • US Citizenship / Green Card

Benefits

  • Fast paced, energetic startup culture, where you'll learn a lot, have great impact, and have fun doing it
  • Base salary $150k - $220k, depending on experience
  • Bonus, 401k, Health Care Plan (Medical, Dental, Vision)
  • Unlimited Paid Time Off (with prior approval), for Vacation, Sick & Public Holidays, Maternity, Paternity
  • Possible Stock Option Plan participation, based on performance and tenure.