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Image Compression Jobs (NOW HIRING)

Apple

Embedded Systems Video Engineer

Cupertino, CA · On-site

In this role, you will develop embedded software for image and video compression/processing, implementing features for applications such as the iPhone/iPad Camera capture, Live Photo, AirPlay ...

Apple

Embedded Systems Video Engineer

Cupertino, CA · On-site

In this role, you will develop embedded software for image and video compression/processing, implementing features for applications such as the iPhone/iPad Camera capture, Live Photo, AirPlay ...

Apple

Embedded Systems Video Engineer

San Diego, CA · On-site

In this role, you will develop embedded software for image and video compression/processing, implementing features for applications such as the iPhone/iPad Camera capture, Live Photo, AirPlay ...

Apple

Embedded Systems Video Engineer

San Diego, CA · On-site

In this role, you will develop embedded software for image and video compression/processing, implementing features for applications such as the iPhone/iPad Camera capture, Live Photo, AirPlay ...

Ambarella

$130K - $150K/yr

Drive system-level verification of key components, including Ambarella's image processing pipeline, video compression engine,and neural networkvector processor.Develop custom verification tools and ...

Apple

Video Codec Algorithm Engineer

Cupertino, CA · On-site

... and image coding principles, algorithms, and techniquesIn-depth knowledge of video compression standards such as H.264, HEVC, VVC, VP9, AV1, and AV2Strong programming skills in C/C++Excellent ...

Energy transfer

Lead Service Technician

El Reno, OK · On-site

USA Compression Partners, LP, (NYSE: USAC) provides mission critical natural gas compression ... image and helping recruit new FSTs. * Assist in supervisory duties in the absence of the ASM or as ...

Apple

Video Codec Algorithm Engineer

Sunnyvale, CA · On-site

Expertise in video and image coding principles, algorithms, and techniques.In-depth knowledge of video compression standards such as H.264, HEVC, VVC, VP9, AV1, and AV2.Strong programming skills in C ...

Energy transfer

Lead Service Technician

El Reno, OK · On-site

USA Compression Partners, LP, (NYSE: USAC) provides mission critical natural gas compression ... image and helping recruit new FSTs. * Assist in supervisory duties in the absence of the ASM or as ...

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How much do image compression jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for image compression in the United States is $50.19, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $56.01 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Image Compression Engineer, and why are they important?

To excel as an Image Compression Engineer, you need a solid background in computer science, mathematics, and signal processing, often supported by a relevant degree. Proficiency with image processing libraries (such as OpenCV), programming languages like Python or C++, and familiarity with image compression algorithms and standards (e.g., JPEG, PNG) are typically required. Strong problem-solving abilities, attention to detail, and effective collaboration skills make candidates stand out in this role. These competencies are crucial for developing efficient compression solutions that maintain image quality while optimizing storage and transmission.

What are some common challenges faced by professionals working in image compression roles?

Professionals in image compression often face the challenge of balancing image quality with file size, especially when dealing with high-resolution or sensitive images. They also need to stay current with evolving algorithms and hardware capabilities, as well as maintain compatibility across various platforms and devices. Collaboration with software developers, graphic designers, and product teams is common to ensure that compression techniques meet both technical and user experience requirements.

What is image compression and why is it important?

Image compression is the process of reducing the file size of digital images by removing redundant or unnecessary data, while maintaining acceptable visual quality. This is important because it helps save storage space, speeds up image transmission over the internet, and reduces bandwidth usage. Compressed images are especially crucial for websites, mobile apps, and cloud storage, where efficient loading and storage are essential. Common techniques include lossy compression (like JPEG) and lossless compression (like PNG), each with its own advantages depending on the use case.

What is the difference between Image Compression vs Image Editing?

AspectImage CompressionImage Editing
Primary FocusReducing file size of imagesModifying and enhancing image content
Tools & TechniquesCompression algorithms, lossy/lossless methodsPhoto retouching, cropping, color correction
Work EnvironmentSoftware development, digital asset managementGraphic design, photography, media production
Required SkillsUnderstanding of image formats, coding, algorithmsCreativity, graphic design skills, software proficiency

While both roles involve working with images, Image Compression focuses on reducing file sizes for efficient storage and transfer, often requiring technical knowledge of algorithms. Image Editing involves altering images for aesthetic or functional purposes, emphasizing creativity and visual skills. Understanding these differences helps in choosing the right career path or tool for your needs.

More about Image Compression jobs
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What states have the most Image Compression jobs? States with the most job openings for Image Compression jobs include:
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Image Compression jobs near you
Infographic showing various Image Compression job openings in the United States as of May 2026, with employment types broken down into 75% Full Time, 24% Part Time, and 1% Temporary. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $104,392 per year, or $50.2 per hour.
Deep Learning Research Intern

Deep Learning Research Intern

FUTUREWEI TECHNOLOGIES INC

San Jose, CA

$18 - $59/hr

Other

Posted 3 days ago

Job description

Deep Learning Research Intern

(Embodied AI, Multimodal Foundation Models & Efficient Systems)

About Us

Futurewei is a well-funded independent research organization with a long history of R&D innovation in Silicon Valley. We are committed to open-source development, fundamental research, and advancing next-generation intelligent systems through collaboration and standards development.

About the Role

We are seeking a strong deep learning research intern to join our ASID team in San Jose, CA. This role focuses on building learning systems for embodied intelligence, emphasizing how multimodal foundation models can be trained, compressed, and deployed efficiently in embodied and interactive environments.

Our work goes beyond static perception. We study intelligence grounded in embodied experience-the interaction of perception, action, and environment over time-while ensuring models remain efficient, scalable, and deployable in real-world systems.

Core Research Focus Areas

The intern will contribute to one or more of the following interconnected research directions:

1. Multimodal Foundation Models

  •   Fine-tuning and adaptation of large language models (LLMs), vision-language models (VLMs), and vision-language-action (VLA) models

  • Multimodal representation learning across vision, language, and action

  • Grounding foundation models in embodied experience and temporal interaction

2. Neural (Generative) Image and Video Compression

  • Learning-based image and video compression models

  • Efficient visual representations for perception and downstream embodied tasks

  • Joint optimization of compression efficiency, reconstruction quality, and task relevance

3. Embodied AI

  • Learning frameworks that couple perception, action, and environment dynamics

  • World models, predictive learning, and agent-centric representations

  • Embodied learning in simulation or real-world-inspired environments

4. Model Compression & Inference Acceleration for Embodied Systems

  • Model compression, pruning, quantization, and distillation

  • Efficient inference and deployment strategies for embodied and real-time applications

  • Hardware- and system-aware optimization for edge or robotic platforms

Responsibilities

  • Conduct research in one or more of the focus areas above

  • Design and implement learning algorithms and experimental pipelines

  • Develop prototype systems or demos for embodied and multimodal AI applications

  • Collaborate closely with researchers in a fast-paced, research-driven environment

Qualifications

  • MS or PhD in Computer Science, Electrical Engineering, Artificial Intelligence, Robotics, Mathematics, or a related field

  • Strong foundation in machine learning and deep learning

  • Experience or strong interest in multimodal models, embodied AI, compression, or efficient inference

  • Proficiency with PyTorch; experience with HuggingFace or similar frameworks is a plus

  • Solid Python programming skills

  • Research experience with publications in top conferences or journals preferred

  • Strong communication skills and ability to work effectively in a global research team

Location: San Jose, CA

Hourly interns pay range: $18 to $59, depending on degree-seeking academic program (PhD, Master's, Bachelor's, etc.), years of relevant experience, year in school, geographic location, credentials, qualifications, and other job-related factors.

Housing allowance and relocation benefit might be provided to intern candidates who meet the qualifications.  Additional details on the compensation package will be provided to candidates during the interview process.

Employment Type: Intern

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