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Compression Internship Jobs in California (NOW HIRING)

Dolby

Neural-Assisted Video Coding Intern

Sunnyvale, CA · On-site

$55 - $62/hr

We are looking to recruit interns in the video coding standards innovation team. The qualified candidate will develop novel video compression technology using learning-based algorithms to ...

Apple

Embedded Systems Video Engineer

Cupertino, CA · On-site

In this role, you will develop embedded software for image and video compression/processing ... Internship or direct related experience in embedded software development. Experience working with ...

Etched

DFT Intern

San Jose, CA · On-site

$17.50 - $23.50/hr

We are looking for Summer '26, Fall '26, Spring '27, and Summer '27 interns. You may be a good fit ... Knowledge of DFT concepts such as MBIST, scan insertion, and scan compression * Experience with ...

Etched

DFT Intern

San Jose, CA · On-site

$17.50 - $23.50/hr

We are looking for Summer '26, Fall '26, Spring '27, and Summer '27 interns. You may be a good fit ... Knowledge of DFT concepts such as MBIST, scan insertion, and scan compression * Experience with ...

Apple

Embedded Systems Video Engineer

Cupertino, CA

$150K - $277K/yr

In this role, you will develop embedded software for image and video compression/processing ... Internship or direct related experience in embedded software development. Experience working with ...

Apple

Embedded Systems Video Engineer

Cupertino, CA

$142K - $263K/yr

In this role, you will develop embedded software for image and video compression/processing ... Internship or direct related experience in embedded software development. Experience working with ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA · On-site

Exposure to model compression or quantization concepts such as INT8, FP16, or related approaches ... Internship, research, or project experience in deep learning model deployment, inference ...

XPENG

AI Intern - VLA Deployment

Santa Clara, CA

Exposure to model compression or quantization concepts such as INT8, FP16, or related approaches ... Internship, research, or project experience in deep learning model deployment, inference ...

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Compression Internship information

Is 23 an hour good for an internship?

For a Compression Internship, earning $23 an hour is generally considered above average for internships, which often pay between minimum wage and $20 per hour. The pay rate can vary based on location, industry standards, and required skills such as knowledge of compression systems or related tools. It is important to consider the internship's responsibilities and whether the compensation aligns with local living costs and industry norms.

Is a 3.4 GPA good for internships?

For a Compression Internship, a 3.4 GPA is generally considered acceptable, especially if complemented by relevant skills, coursework, or project experience. Many employers value practical abilities and problem-solving skills alongside GPA, so strong technical knowledge and a good work ethic can enhance your application.

What are the key skills and qualifications needed to thrive as a Compression Intern, and why are they important?

To succeed as a Compression Intern, you need a solid background in computer science fundamentals, algorithms, and data structures, often supported by progress toward a relevant degree. Familiarity with programming languages like C++ or Python and experience using source control systems such as Git are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help interns tackle technical challenges and collaborate with team members. These skills and qualities are crucial for contributing to data compression projects and learning effectively in a technical internship environment.

What is a Compression Internship?

A Compression Internship is a temporary, hands-on learning position where interns work with data compression algorithms, techniques, and software systems. Interns typically assist in developing, optimizing, or testing methods that reduce the size of data for storage or transmission. These roles are often found in tech companies that handle large amounts of data, such as streaming services or cloud storage providers. The internship offers practical experience in computer science fields like signal processing, machine learning, and software engineering. It is ideal for students or recent graduates interested in systems performance and efficiency.

What can I expect from the team environment and mentorship during a Compression Internship?

During a Compression Internship, you can expect to work closely with experienced engineers and data scientists, often in a collaborative team setting focused on optimizing algorithms and data storage solutions. Interns typically receive mentorship through regular check-ins, code reviews, and project guidance, which helps build both technical and problem-solving skills. The environment is usually fast-paced and encourages learning, with opportunities to contribute to real projects, ask questions, and participate in team discussions. This structure not only supports your technical growth but also helps you develop professional communication and teamwork abilities.

Is 22 too old for an internship?

There is no age limit for a compression internship or similar entry-level roles. Employers often value skills, enthusiasm, and relevant education over age, so being 22 is generally considered a suitable age to start an internship in this field.

What are the big 4 internships?

The 'Big 4' internships typically refer to internship programs offered by the four largest professional services firms: Deloitte, PricewaterhouseCoopers (PwC), Ernst & Young (EY), and KPMG. These firms offer internships in areas such as audit, consulting, tax, and advisory, providing valuable experience for those pursuing careers in accounting, finance, and consulting. Internships at these firms often require strong academic performance, relevant skills, and may lead to full-time employment opportunities.

What is the difference between Compression Internship vs Compression Engineer?

AspectCompression InternshipCompression Engineer
Required CredentialsTypically pursuing or recent graduate in engineering or related fieldBachelor's or Master's in Mechanical, Civil, or Petroleum Engineering
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, project management, design, and analysis
Employer & Industry UsageOil & gas, manufacturing, energy sectorsOil & gas, energy, industrial sectors

The Compression Internship provides hands-on experience for students or recent graduates, focusing on learning and supporting compression systems. In contrast, a Compression Engineer is a full-time professional responsible for designing, analyzing, and maintaining compression equipment. While internships are temporary and educational, engineers hold permanent roles with greater responsibilities.

What are popular job titles related to Compression Internship jobs in California? For Compression Internship jobs in California, the most frequently searched job titles are:
What job categories do people searching Compression Internship jobs in California look for? The top searched job categories for Compression Internship jobs in California are:
What cities in California are hiring for Compression Internship jobs? Cities in California with the most Compression Internship job openings:
Compression Internship jobs near you
Infographic showing various Compression Internship job openings in California as of July 2026, with employment types broken down into 1% As Needed, 86% Full Time, 9% Part Time, 3% Contract, and 1% Nights. Highlights an 95% Physical, 2% Hybrid, and 3% Remote job distribution.
Video Algorithms Intern, Video Coding (Gaussian Splatting), Fall 2026

Video Algorithms Intern, Video Coding (Gaussian Splatting), Fall 2026

Netflix

Los Gatos, CA • On-site

$110/hr

Full-time

Medical, Life, Retirement, PTO

Posted 22 hours ago

Netflix rating

5.8

Company rating: 5.8 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

68th of 75 rated media

Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next.
The Role
Gaussian Splatting (GS) is a 3D/4D scene reconstruction technique that enables photorealistic novel-view synthesis with low rendering complexity, making it attractive for deployment on consumer devices such as TVs, streaming sticks, phones, and laptops. Realizing this vision requires addressing several open technical challenges, such as a significant reduction in model training/encoding time and more efficient compression. As part of the Video Algorithms team during this 24-week Fall internship, you will help us investigate the potential of GS as a future streaming format and explore possible improvements, with a focus on building towards a practical system.
During the internship, you will:
  • Explore GS model compression strategies using open datasets
  • Contribute to early thinking on additional dataset needs for representative scenes.
  • Characterize trade-offs among GS model size, training time, and rendered quality, and quantify the gap relative to streaming-rate targets
  • Identify and experiment with strategies to reduce training/encoding time and/or to improve GS compression efficiency
  • Design and implement a proof-of-concept (PoC) that showcases GS-based rendering on content of interest

Who Are You?
  • Currently pursuing a PhD in a technical field such as Computer Science, Engineering, Math, or Statistics, with an expected graduation date in June 2027 or later.
  • Thrives working in complex, dynamic, and fast-moving environments.
  • Strong software development skills and feels comfortable with software engineering best practices (e.g., version control, testing, code review, etc.).
  • Successful track record in research of 3D/4D scene reconstruction, novel-view synthesis, Gaussian Splatting or NeRF, differentiable rendering, neural graphics, or 3D computer vision.
  • Solid understanding of machine learning and deep learning concepts, with hands-on experience training and evaluating ML models.
  • Able to program fluently in Python

Nice to Have:
  • Familiarity with real-time rendering and GPU programming (CUDA, WebGL, graphics pipelines).
  • Background in video compression, streaming systems, or codec standards such as HEVC and AV1.
  • Involvement in open-source multimedia or graphics projects.
  • Experience with large-scale distributed systems and cloud computing.

To learn more about our team, check out some of our tech blogs:
  • https://netflixtechblog.com/av1-now-powering-30-of-netflix-streaming-02f592242d80
  • https://netflixtechblog.com/av1-scale-film-grain-synthesis-the-awakening-ee09cfdff40b
  • https://netflixtechblog.com/for-your-eyes-only-improving-netflix-video-quality-with-neural-networks-5b8d032da09c
  • https://netflixtechblog.com/toward-a-practical-perceptual-video-quality-metric-653f208b9652
  • https://netflixtechblog.com/per-title-encode-optimization-7e99442b62a2

Internships at Netflix
At Netflix, we offer a personalized experience for interns, and our aim is to mimic what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups for the summer. Netflix is a unique place to work and we live by our values, so it's worth learning more about our culture.
Internships are paid and are a minimum of 12 weeks,. Conditions permitting, our summer internships will be located in our Los Gatos, CA office, or in our Los Angeles, CA office, depending on the team.
At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.
The overall market range for Netflix Internships is typically $40/hour - $110/hour.
This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.
Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here.
Netflix is a unique culture and environment. Learn more here.
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

What Netflix employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Netflix

Sourced by ZipRecruiter

Netflix is the world's leading streaming entertainment service with 222 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any Internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Industry

Arts, entertainment, and recreation

Company size

5,001 - 10,000 Employees

Headquarters location

Los Gatos, CA, US

Year founded

1997

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