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Intern Computer Vision Deep Learning Engineer Jobs in Concord, CA

RainesDev

Senior Machine Learning Engineer

San Francisco, CA · On-site

$123K - $169K/yr

Deep Learning: Experience with neural networks, transformers, and CNNs. * NLP/LLMs: RAG systems, prompt engineering, vector databases, fine-tuning, and modern orchestration tools. * Computer Vision:

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

Experience in machine learning algorithms for vision problems, including deep learning ... S. or Ph.D. and 5+ years of work in computer vision, software or related field * Strong ...

Brachium

Robotics Vision Engineer

San Ramon, CA

Experience in machine learning algorithms for vision problems, including deep learning ... S. or Ph.D. and 5+ years of work in computer vision, software or related field * Strong ...

Hayden AI

Senior State Estimation Engineer

San Francisco, CA · On-site

$200K - $260K/yr

... vision-based localization * Collaborate with deep learning, device, and cloud teams to improve ... Master of Science degree or the foreign equivalent in Electrical and Computer Engineering, Robotics ...

Brachium

Robotics Vision Engineer

San Ramon, CA · On-site

Experience in machine learning algorithms for vision problems, including deep learning ... S. or Ph.D. and 5+ years of work in computer vision, software or related field * Strong ...

Sentradel

Computer Vision Engineer

San Francisco, CA · On-site

$120K - $210K/yr

We are seeking a Computer Vision Engineer to build the perception stack and push the limits on detection range using low cost sensors and edge compute. Responsibilities • Build and own the ...

Socket.dev

Software Engineer, Applied AI

San Francisco, CA · On-site

$150 - $250/hr

Our work is at the cutting edge of computer vision and deep learning, which also includes working ... Solve idiosyncratic statistical, geometric, and engineering problems * Work closely with a ...

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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

See Concord, CA salary details

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$26

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

As of Aug 8, 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?

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.
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Intern Computer Vision Deep Learning Engineer jobs near you

Machine Learning Engineer (Computer Vision/Multimodal/Generative AI)

SpreeAI

San Francisco, CA • On-site

$100 - $140/hr

Other

Re-posted yesterday

Job description

Machine Learning Engineer (Computer Vision/Multimodal/Generative AI)

About the Role

We are hiring Machine Learning Engineers who want to work on frontier problems in vision and generative AI where standard solutions break. You will work across photorealistic virtual try-on, video-based modeling, Smart Sizing, and multimodal representation learning. The work spans modern architectures such as diffusion models, transformers, and learned visual representations, with emphasis on controllability, compute efficiency, and production readiness. This role sits at the intersection of applied research and engineering execution.

What you'll do

  • Develop and improve multimodal AI systems involving image, video, and generative pipelines.
  • Work on diffusion model optimization, controllability, and step efficiency.
  • Design experiments and evaluation frameworks for visual realism and consistency.
  • Translate research prototypes into scalable production systems.
  • Collaborate closely with infrastructure teams to optimize training and inference.

Qualifications

  • Degree in Computer Science, AI, Robotics, or comparable combination of education and practical experience.
  • Strong programming skills in Python and familiarity with object-oriented languages (C++, Java, or similar).
  • Strong data structures and algorithms fundamentals.
  • Experience with PyTorch or similar frameworks.
  • Familiarity with CNNs, Vision Transformers (ViT), or diffusion architectures.

Preferred Qualifications

  • Experience with Stable Diffusion, ControlNet, LoRA, or generative pipelines.
  • Human pose estimation, geometry-aware modeling, or video understanding.
  • Experience shipping ML systems into production.

SPREEAI is a fast-growing, innovative AI company at the forefront of fashion and e-commerce, revolutionizing how consumers engage with fashion through lifelike photorealistic try-on technology and hyper-personalized shopping experiences. Our mission is to redefine the retail landscape with cutting-edge AI solutions that blend high fashion and technology. We thrive in a dynamic, fast-paced environment where creativity meets technology to drive real impact. If you are passionate about innovation and shaping the future of fashion, SPREEAI offers a platform to make your mark.

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