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Intern Computer Vision Deep Learning Engineer Jobs in Concord, CA

Hayden AI

Deep Learning Engineer II

San Francisco, CA · On-site

$161K - $175K/yr

... 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 ...

Zensors

AI/ML Infrastructure Engineer

San Francisco, CA · On-site

$126K - $166K/yr

As a Machine Learning Engineer in ML Runtime & Optimization , you will develop technologies to ... Work in Computer Vision , Deep Learning, and Vision Transformers. * Experience with video ...

RIT Solutions

Machine Learning Engineer

Fremont, CA

... computer vision, and deep learning frameworks such as PyTorch. The ideal candidate will collaborate closely with cross-functional teams across Production, Process Engineering, Controls, and Quality ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

... and computer vision team to design, develop, and implement critical machine learning models ... Proficiency with at least one modern deep learning framework (e.g., PyTorch, Jax, TensorFlow)

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All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Concord, CA

Intern Computer Vision Deep Learning Engineer information

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

As of Jun 14, 2026, the average hourly pay for intern computer vision deep learning engineer in Concord, CA is $18.69, according to ZipRecruiter salary data. Most workers in this role earn between $15.82 and $21.11 per hour, depending on experience, location, and employer.

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

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What types of projects or tasks can I expect to work on as an Intern Computer Vision Deep Learning Engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What does an Intern Computer Vision Deep Learning Engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

What are the key skills and qualifications needed to thrive as an Intern Computer Vision Deep Learning Engineer, and why are they important?

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.
What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Concord, CA? For Intern Computer Vision Deep Learning Engineer jobs in Concord, CA, the most frequently searched job titles are:
What cities near Concord, CA are hiring for Intern Computer Vision Deep Learning Engineer jobs? Cities near Concord, CA with the most Intern Computer Vision Deep Learning Engineer job openings:
Intern Computer Vision Deep Learning Engineer jobs near you
Deep Learning Engineer II

Deep Learning Engineer II

Hayden AI

San Francisco, CA • On-site

$161K - $175K/yr

Full-time

Posted 12 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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