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Deep Learning Engineer Intern Jobs (NOW HIRING)

Syntiant

Model Converter Engineer Intern

Irvine, CA · On-site

$18 - $23.25/hr

As a Model Converter Engineer Intern , you will be responsible for developing solutions that meet ... Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ...

Syntiant

Model Converter Engineer Intern

Irvine, CA

$18 - $23.25/hr

As a Model Converter Engineer Intern , you will be responsible for developing solutions that meet ... Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra ...

pony.ai

Research Intern - Deep Learning

Fremont, CA

$7.0K - $10K/mo

Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs) * Design and implement multi-modality and multi-task perception models focusing on 3D ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs) * Design and implement multi-modality and multi-task perception models focusing on 3D ...

pony.ai

Research Intern - Deep Learning

Fremont, CA · On-site

$7.0K - $10K/mo

Develop and deploy deep learning models, including vision language models (VLMs) and Large Language Models (LLMs) * Design and implement multi-modality and multi-task perception models focusing on 3D ...

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How much do deep learning engineer intern jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for deep learning engineer intern in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is the difference between Deep Learning Engineer Intern vs Machine Learning Engineer Intern?

AspectDeep Learning Engineer InternMachine Learning Engineer Intern
Required CredentialsTypically pursuing or holding a degree in Computer Science, Data Science, or related fields; familiarity with deep learning frameworksSimilar educational background; knowledge of machine learning algorithms and programming skills
Work EnvironmentResearch labs, tech companies, startups focusing on neural networks and AI modelsBroader industry settings including finance, healthcare, and tech, working on various ML models
Employer & Industry UsageUsed in companies developing AI products, autonomous systems, and advanced neural network applicationsApplied across industries for predictive analytics, data modeling, and automation tasks

While both roles involve machine learning concepts, a Deep Learning Engineer Intern specializes in neural networks and deep learning frameworks, whereas a Machine Learning Engineer Intern works on a wider range of algorithms and models across various industries.

What cities are hiring for Deep Learning Engineer Intern jobs? Cities with the most Deep Learning Engineer Intern job openings:
What are the most commonly searched types of Deep Learning Engineer jobs? The most popular types of Deep Learning Engineer jobs are:
What states have the most Deep Learning Engineer Intern jobs? States with the most job openings for Deep Learning Engineer Intern jobs include:
Deep Learning Engineer Intern jobs near you
Model Converter Engineer Intern

Model Converter Engineer Intern

Syntiant

Irvine, CA • On-site

$18 - $23.25/hr

Temporary

Posted 23 days ago

Job description

Summary Description:
Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a Model Converter Engineer Intern to take on a critical role to enhance our Embedded Software team.
As a Model Converter Engineer Intern, you will be responsible for developing solutions that meet the specific needs of the model converter projects.
Requirements
Specific Duties and Responsibilities:
  • Develop prototype to validate proof of concepts and build from there.
  • Enhance CI system for running end to end testing of model converter tool.
  • Work independently with minimal supervision.

Qualifications, Education, and Experience Required:
  • Bachelor's or Master's student in Computer Science or Computer Engineering is required.
  • Relevant coursework on AI/ML concepts, optimization techniques, and data structures and algorithms.
  • Knowledge of Python, ML frameworks like TensorFlow/Keras, PyTorch, C.

Benefits
About Syntiant:
Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company's purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world's leading strategic and financial investors including Intel Capital, Microsoft's M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.

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