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Compression Internship Jobs in California (NOW HIRING)

Tacit

RF Hardware Intern (Fall 2026)

San Francisco, CA · On-site

$40 - $60/hr

About the role We're seeking motivated RF Hardware interns to contribute to the development and ... compression, phase noise, and link budgets * Experience using RF laboratory equipment such as a VNA ...

Meta

Research Scientist, ML H/W-SW Codesign

Sunnyvale, CA · On-site

$154K - $217K/yr

Model compression, hardware-aware model optimizations, hardware accelerators architecture, GPU ... internship, work experience, coding competitions, or widely used contributions in open source ...

TETRAMEM INC

Neuronetwork System Engineer

San Jose, CA · On-site

$110K - $250K/yr

Improve inference efficiency and model compression techniques, including quantization, pruning, and ... and interns. Experience in one or more of the following areas considered a strong plus:

TetraMem, Inc.

Neuronetwork System Engineer

San Jose, CA · On-site

$110K - $250K/yr

Improve inference efficiency and model compression techniques, including quantization, pruning, and ... and interns. Experience in one or more of the following areas considered a strong plus:

TETRAMEM INC

Neuronetwork System Engineer

San Jose, CA · On-site

$110 - $250/hr

Improve inference efficiency and model compression techniques, including quantization, pruning, and ... and interns. Experience in one or more of the following areas considered a strong plus

City of Hope

Occupational Therapist II-Outpatient

Irvine, CA · On-site

$42.75 - $56.25/hr

... MLD), compression therapy, and individualized exercise programs--or have strong experience ... Additionally, oversees student internships, contributes to clinical education, and helps develop ...

TetraMem INC

$110 - $250/hr

Improve inference efficiency and model compression techniques, including quantization, pruning, and ... and interns. Experience in one or more of the following areas considered a strong plus

City of Hope

Occupational Therapist II-Outpatient

Irvine, CA · On-site

$43.25 - $57/hr

... MLD), compression therapy, and individualized exercise programs-or have strong experience ... Additionally, oversees student internships, contributes to clinical education, and helps develop ...

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Compression Internship information

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.

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 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.

Research Scientist, ML H/W-SW Codesign

Meta

Sunnyvale, CA

$154K/yr

Full-time

Re-posted 19 days ago

Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies

Job description

Reality Labs (RL) is bringing Meta's vision to life through virtual reality (VR), augmented reality (AR), and wearable technology. Meeting the demanding compute and power efficiency needs of these products requires purpose-built silicon. The Reality Labs Silicon team is pushing boundaries with pioneering advances in computer vision, machine learning, mixed reality, graphics, displays, sensors, and novel approaches to human body mapping. Our custom chips will power AR and VR experiences that seamlessly blend the physical and digital worlds throughout everyday life. We're convinced that realizing this vision demands a full-stack approach: spanning transistors, architecture, firmware, and algorithms.Meta is seeking a HW Research Scientist to join our Research and Development teams. The candidate will have experience working on AI models, hardware acceleration, and software systems related topics. The position will involve taking these skills and applying them to solve for some of the most crucial & exciting problems that exist in Meta Reality Labs. The primary objective will be to develop novel solutions that enable compute and power-efficient training and on-device inference of vision and language models for use cases in AR, VR, and edge devices. We are hiring in multiple locations.
Research Scientist, ML H/W-SW Codesign Responsibilities:
  • Identify and solve multi-discipline ML acceleration problems involving algorithms, network design, hardware architecture, and AR/VR use cases. Many of these would be first-time solutions in the industry
  • Work across hardware and software, to solve deep co-design problems with other Research scientists working in this area
  • Codesign and invent novel ML accelerator and system architecture solutions, and facilitate the integration of algorithms and software to utilize these enhancements
  • Develop state-of-the-art model compression and scalability techniques using numerics, pruning, distillation, etc
  • Optimize models on hardware accelerators to achieve the best performance given various real-time latency and power constraints
  • Deliver impact directly or by influencing partners through thorough, data-driven analysis
  • Define use cases, and develop a methodology and benchmarks to evaluate different approaches
  • Apply in-depth knowledge of how the ML acceleration interacts with the other systems around it
  • Attend conferences, interpret papers, and stay up to date with the latest research advancements in the field of ML acceleration
  • patent and/or publish novel outcomes in peer-reviewed conferences and journals

Minimum Qualifications:
  • Masters or PhD in Electrical Engineering, Computer Science or equivalent experience
  • 2+ years of specialized experience in one or more of the following machine learning/deep learning domains: Model compression, hardware-aware model optimizations, hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high-performance computing, performance optimizations, or machine learning frameworks (e.g., PyTorch), numerics and SW/HW co-design
  • Experience developing AI system infrastructure, AI algorithms, or AI hardware acceleration in C/C++ or Python
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Experience or knowledge of training/inference of large-scale AI models - CV and/or LLMs
  • Experience or knowledge of architecting ML hardware accelerators and systems
  • Experience working and communicating cross-functionally in a team environment
  • Experience with PyTorch, TensorFlow, or similar machine learning toolsets
  • Experience or knowledge of on-device algorithm development including hardware-aware ML models and/or optimizing ML compilers for efficient deployment on AI accelerators
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals, or conferences such as ICLR, NeurIPS, CVPR, ACL, ICML, MLSys, ISCA, MICRO, DAC, ASPLOS, etc
  • Demonstrated research and engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g., GitHub)
  • Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view to determine a path forward

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$154,000/year to $217,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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