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Internship Edge Ai Machine Learning Jobs in Riverside, CA

Turion Space

Machine Learning Engineer

Irvine, CA

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML ... Analyze large datasets used for AI/ML model development * Identify opportunities to improve AI/ML ...

Capgroup

Senior Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

... Machine Learning Engineer at Capital Group" We are seeking a strong software engineer with ... You will join ahigh-performingteam of ML engineers and software engineers building Generative AI ...

Yum! Brands

Associate Manager Machine Learning

Irvine, CA · Hybrid

$134K - $158K/yr

We are hiring a Manager, Machine Learning (MLE) to lead the development and operationalization of ... You will manage a team of MLEs and partner with AI Engineers, QA, and DevOps to deliver high ...

Turion Space

Lead AI Engineer

Irvine, CA · On-site

$110K - $144K/yr

Design, develop, and deploy advanced AI models and algorithms, including machine learning, deep ... competitive edge. * Performance Optimization: Monitor and optimize the performance of AI models ...

Bespoke Labs

Machine Learning Engineer

Pomona, CA · On-site

About Us We are AI researchers and builders who understand how to curate data and RL environments ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

TRL11, Inc.

Sr Algorithms/Video Engineer

Irvine, CA · On-site

$150K - $220K/yr

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 ...

DataAnnotation

SDLC Engineer - AI Trainer

Murrieta, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Pomona, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Riverside, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Hesperia, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Santa Ana, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Anaheim, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

DataAnnotation

SDLC Engineer - AI Trainer

Corona, CA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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All JobsInternship Edge Ai Machine Learning JobsInternship Edge Ai Machine Learning Jobs in Riverside, CA

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 30, 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 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:
Internship Edge Ai Machine Learning jobs near you
Infographic showing various Internship Edge Ai Machine Learning job openings in Riverside, CA as of June 2026, with employment types broken down into 93% Full Time, 5% Part Time, 1% Temporary, and 1% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $44,426 per year, or $21.4 per hour.
Senior Applied AI Engineer (Software Engineering)

Senior Applied AI Engineer (Software Engineering)

loanDepot

Irvine, CA • On-site

Full-time

Medical, Dental, Vision, PTO

Posted 11 days ago

Key responsibilities

  • Designs, develops, and delivers advanced AI solutions to meet business and enterprise requirements.

  • Guides the development, deployment, and optimization of machine learning models, ensuring alignment with business and product needs.

  • Establishes robust pipelines for data preparation, training, evaluation, deployment, and ongoing monitoring of AI solutions.

loanDepot rating

7.8

Company rating: 7.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

Job description

Position Summary:
 
Responsible for serving as a senior technical leader driving the design, development, and deployment of advanced AI solutions that address complex business challenges. Provides deep expertise across domains such as computer vision, natural language processing, recommendation systems, and predictive analytics, while setting strategic direction, establishing best practices, and influencing cross-functional teams to maximize the impact of AI initiatives.   
 
Responsibilities:
 
  • Designs, develops, and delivers solutions that meet business line and enterprise requirements.
  • Serves as a recognized authority and internal expert in applied AI, shaping the organization’s technical direction and strategy.
  • Oversees large, complex and transformative initiatives directly influencing functional and/or enterprise initiatives. Works under consultative direction to achieve objectives.
  • Partners with cross-functional leaders to identify high-impact opportunities for AI integration and defines solution approaches to achieve measurable results.
  • Guides the development and deployment of machine learning models into production, ensuring alignment with business and product requirements.  
  • Optimizes model performance, scalability, and reliability to meet enterprise-grade standards.
  • Translates cutting-edge AI research and experimental methods into deployable, value-driven solutions.
  • Establishes robust pipelines for data preparation, training, evaluation, deployment, and ongoing monitoring.
  • Champions responsible AI practices by embedding fairness, transparency, and security into all solutions.
  • Monitors emerging AI trends, frameworks, and tools to inform strategy and maintain a competitive edge.
  • Performs other duties and projects assigned.
Requirements:
 
  • Minimum five (5) + years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python; C# experience preferred.
  • Two (2) + years’ experience in Python, PyTorch, TensorFlow, or other machine learning frameworks.
  • Proven experience applying large language models (LLMs), generative AI, or OSS agent-based frameworks to business solutions.
  • Demonstrated success delivering at least one large-scale ML/AI application or service on a cloud platform (Azure, AWS, or GCP).
  • Strong understanding of ML algorithms, deep learning architectures, data structures, and applied optimization techniques.
  • Familiarity with MLOps practices and tools (Docker, Kubernetes, MLflow, etc.) for scalable AI/ML deployments.
  • Ability to translate research and experimental AI approaches into practical, enterprise-grade solutions.
  • Excellent analytical, problem-solving, and communication skills, with the ability to influence stakeholders and drive alignment.
  • Advanced degree (M.S. or Ph.D.) in AI, ML, Data Science, or a related field.
  • Experience with transformers, edge AI, federated learning, or real-time inference systems.
  • Track record of contributions to open-source AI projects, patents, or published research.
  • Employees located within a commutable distance of our hub offices (Irvine, Scottsdale, Chandler, Southfield, or Plano) are expected to work on-site four days per week.
Why work for #teamloanDepot:
 
  • Competitive compensation package based on experience, skillset and overall fit for #TeamloanDepot.
  • Inclusive, diverse, and collaborative culture where people from all backgrounds can thrive
  • Work with other passionate, purposeful, and customer-centric people
  • Extensive internal growth and professional development opportunities including tuition reimbursement
  • Comprehensive benefits package including Medical/Dental/Vision
  • Wellness program to support both mental and physical health
  • Generous paid time off for both exempt and non-exempt positions

About loanDepot:

loanDepot (NYSE: LDI) is a digital commerce company committed to serving its customers throughout the home ownership journey. Since its launch in 2010, loanDepot has revolutionized the mortgage industry with a digital-first approach that makes it easier, faster, and less stressful to purchase or refinance a home. Today, loanDepot enables customers to achieve the American dream of homeownership through a broad suite of lending and real estate services that simplify one of life's most complex transactions. With headquarters in Southern California and offices nationwide, loanDepot is committed to serving the communities in which its team lives and works through a variety of local, regional, and national philanthropic efforts.
 
Base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay for this roles is between $170,000 and $233,000. Your base pay will depend on multiple individualized factors, including your job-related knowledge/skills, qualifications, experience, and market location. 
 
We are an equal opportunity employer and value diversity in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

What loanDepot employees say

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