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Deep Learning Intern Jobs (NOW HIRING)

Hayden AI

Deep Learning Engineer II

San Francisco, CA · On-site

$161K - $175K/yr

... Intern or a related deep learning engineer role. OTHER SPECIAL REQUIREMENTS: One (1) year of work experience with all of the following: machine learning, deep learning, and computer vision, with a ...

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EarnIn

Machine Learning Intern

Mountain View, CA · Hybrid

$40/hr

We seek talented and motivated students and recent graduates with a strong background in machine learning, deep learning, language models and generative AI, programming, and data analysis to join our ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Key Responsibilities * Assist in building and training machine learning and deep learning models

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... Key Responsibilities * Assist in building and training machine learning and deep learning models

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How much do deep learning intern jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for deep learning 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 are the key skills and qualifications needed to thrive as a Deep Learning Intern, and why are they important?

To thrive as a Deep Learning Intern, you need a solid background in mathematics, programming (especially Python), and foundational knowledge of machine learning concepts, often backed by coursework or relevant projects. Familiarity with frameworks like TensorFlow or PyTorch, as well as experience using version control systems like Git, are typically required. Strong problem-solving abilities, curiosity, and effective communication skills help interns collaborate and learn quickly in a dynamic research environment. These skills and qualities are essential for contributing meaningfully to cutting-edge AI projects and rapidly adapting to evolving technologies.

What types of projects can a Deep Learning Intern expect to work on, and how is mentorship typically structured?

As a Deep Learning Intern, you can expect to work on projects such as developing and training neural network models, data preprocessing, and conducting experiments to improve model accuracy. Interns are often integrated into small teams where they collaborate closely with experienced machine learning engineers and researchers. Mentorship is usually structured through regular check-ins, code reviews, and collaborative problem-solving sessions, giving interns the opportunity to learn industry best practices and receive feedback on their work. This setup provides a supportive environment for skill development and hands-on experience with real-world deep learning challenges.

What does a Deep Learning Intern do?

A Deep Learning Intern typically assists with designing, developing, and testing deep learning models under the supervision of experienced machine learning engineers or researchers. Their tasks may involve data preprocessing, model training, evaluation, and implementing neural network architectures for tasks like image recognition, natural language processing, or other AI applications. Interns often help with literature reviews, experiment tracking, and preparing reports or presentations of their findings. This role provides hands-on experience in working with state-of-the-art machine learning frameworks such as TensorFlow or PyTorch.
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Deep Learning Intern jobs near you
Infographic showing various Deep Learning Intern job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 75% Full Time, and 24% Part Time. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution, with an average salary of $35,436 per year, or $17 per hour.
Deep Learning Engineer II

Deep Learning Engineer II

Hayden AI

San Francisco, CA • On-site

$161K - $175K/yr

Full-time

Posted 2 days ago

Job description

About Us
At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
COMPANY NAME: Hayden AI Technologies, Inc.
POSITION TITLE: Deep Learning Engineer II
POSITION DUTIES:
Lead the research, development, and deployment of state-of- the-art deep learning
models for perception of urban scenes in production
environments. Architect and optimize complex machine learning systems
for scalability, efficiency, and robustness, utilizing cloud-native
technologies. Develop and implement training techniques such as data
augmentation or model distillation pipelines to improve model robustness
under diverse urban and environmental conditions. Explore and integrate
novel multi-modal foundational AI models, including large Vision-
Language Models (VLMs), and develop strategies for their effective fine-
tuning and adaptation to specific domain challenges. Drive innovation in
model compression, quantization, and efficient inference techniques to
optimize performance for both cloud and edge device deployments.
Collaborate with cross-functional teams to define machine learning
roadmaps, evaluate new technologies, and contribute to the overall
technical strategy. Conduct research, and evaluate emerging deep learning
techniques applicable to perception and intelligent mobility.
DEGREE REQUIREMENTS:
Master of Science or Engineering degree or the foreign equivalent in
Robotics, Machine Learning, Computer Science, Electrical Engineering,
Electrical Engineering and Computer Sciences or related.
EXPERIENCE REQUIREMENT:
Two (2) years of experience in the position offered, as a Perception Engineer
(Deep Learning), Graduate Researcher, Computer Vision Researcher,
Software Engineer, Machine Learning Engineer, Graduate Student, Summer
Intern or a related deep learning engineer role.
OTHER SPECIAL REQUIREMENTS:
One (1) year of work experience with all of the following: machine learning,
deep learning, and computer vision, with a focus on image classification,
object detection, semantic segmentation, and urban scene understanding;
leveraging large foundational models for a variety of computer vision tasks;
deploying models in real-world, customer- facing production environments;
data augmentation and data generation pipelines for training; deep learning
models for multi-sensor fusion (e.g., IMU, LiDAR, Cameras) to enable
robust perception and operation in GPS-challenged environments deep
learning models; developing models for motion forecasting or trajectory
prediction of dynamic agents, applied to areas such as vehicle movement
classification; Python programming with a foundation in software design
principles and with relevant machine learning libraries and Frameworks;
PyTorch or TensorFlow; cloud-based deployments on platforms such as
AWS, GCP, or Azure; containerization and orchestration technologies, such
as Docker or Kubernetes; and cloud and edge device systems for effective
model deployment and integration.
RATE OF PAY: $161,637.00 to $175,000.00 per year
LOCATION OF POSITION AND INTERVIEW:
Hayden AI Technologies, Inc.
460 Bryant Street, Suite 100
San Francisco, CA 94107
APPLICANTS SHOULD SUBMIT RESUMES TO:
Janet Le-Mcintosh
janet.le@hayden.ai
Hayden AI Technologies, Inc.
460 Bryant Street, Suite 100
San Francisco, CA 94107

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