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Deep Learning Engineer Intern Jobs (NOW HIRING)

Aivra Health LLC

AI/ML Engineer Intern

Austin, TX · On-site

AI/ML Engineer Intern Location: New York, NY, USA (Hybrid/On-site/Remote) Job Type: Internship ... Deep Learning * Computer Vision * Generative AI * AWS, Azure, or Google Cloud * Git & GitHub What ...

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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 ...

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 Jul 21, 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
Senior Deep Learning Engineer (Perception)

Senior Deep Learning Engineer (Perception)

Seneca

Sausalito, CA • On-site

$160K - $220K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 14 hours ago

Job description

The Job:
We are seeking an exceptional and highly motivated Deep Learning Engineer to join our fast-moving and innovative team. In this role, you will leverage your expertise to research, develop, and deploy cutting-edge perception algorithms for our next-generation autonomous systems. You will play a pivotal part in building the "eyes" of our technology, enabling it to robustly perceive and understand the surrounding world.
This is a hands-on, systems-level role where you will bridge fundamental research and real-world deployment, tackling complex challenges. As a key early member of our technical team, you will have significant ownership and the opportunity to directly shape our product's perception capabilities.
What You'll Do:
  • Algorithm development: Research, design, and implement advanced deep learning algorithms for core perception tasks, such as 2D/3D object detection, semantic segmentation, tracking, and classification.
  • Multimodal sensor fusion: Develop and optimize algorithms to fuse data from multiple sensor modalities, including cameras, LiDAR, and radar, to build a robust and comprehensive perception system.
  • Data-centric development: Take a rigorous, data-driven approach to model development. This includes designing training and validation pipelines, curating large-scale datasets, and prioritizing data collection and labeling efforts.
  • System integration: Work cross-functionally with embedded, hardware, and systems engineers to seamlessly integrate perception software into the larger autonomous stack.
  • Performance analysis and debugging: Analyze logged field data to identify performance bottlenecks and edge cases, and rapidly iterate on solutions to improve model accuracy and robustness in challenging real-world conditions.
  • Stay current on research: Keep abreast of the latest academic research and industry trends in deep learning and computer vision to propose and implement innovative solutions.

What You Bring:
  • EITHER PhD & 2+ years work experience: PhD in Computer Science, Robotics, Electrical Engineering, or a related technical field AND 2+ years of hands-on industry experience developing and deploying deep learning models for perception tasks, ideally in a fast-paced startup environment.
  • OR Masters & 5-8+ years work experience: Masters in Computer Science, Robotics, Electrical Engineering, or a related technical field AND 5-8+ years of hands-on industry experience developing and deploying deep learning models for perception tasks, ideally in a fast-paced startup environment.
  • Extensive experience with at least one deep learning frameworks (PyTorch, Tensorflow, Jax)
  • Expert proficiency in Python; software engineering skills in C++ is a significant plus.
  • Demonstrated experience with one or more of the following: 3D perception, multi-modal sensor fusion, BEV (Bird's Eye View) models, or end-to-end learning
  • Excellent problem-solving skills, with a pragmatic and outcome-oriented approach.
  • High level of ownership and comfort operating independently within an ambiguous, quickly evolving startup environment.
  • Good communication skills and the ability to collaborate effectively across technical specialties.

Bonus Points For:
  • Prior experience in autonomous vehicles, robotics, or other safety-critical systems.
  • Experience with specific optimization tools like TensorRT.

What We Offer:
  • Competitive Salary - Reflective of your skills and experience
  • Equity Compensation - Be a part-owner in the company's future
  • Comprehensive Health Coverage - Including medical, dental, and vision plans
  • Health Savings Account (HSA) - Optional pre-tax savings for medical expenses
  • Unlimited PTO - Flexible time off to recharge, plus paid company holidays

About Us
Seneca is eliminating the $1 trillion threat of wildfire across 500 million acres with AI-powered autonomous drone systems. Imagine a world where firefighters can respond to a blaze in under 6 minutes using autonomous suppression technology. That's the world Seneca is building. We're combining the deep expertise of seasoned fire professionals with the innovation of billion-dollar technology builders to create advanced systems that save lives, property, and natural resources.
This is more than a job-it's a mission to transform safety across 500 million acres. Whatever your background, if you're a builder, an innovator, or a problem-solver, you belong here.
Don't meet every single requirement? If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply - you may still be the right fit for our team.

Apply