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Internship Design System Jobs in Berkeley, CA (NOW HIRING)

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Internship Design System information

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$11

$23

$45

How much do internship design system jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for internship design system in Berkeley, CA is $23.73, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $26.49 per hour, depending on experience, location, and employer.

What is an internship design system?

An Internship Design System refers to an internship role focused on contributing to or maintaining a design system within a company or organization. Design systems are collections of reusable components, guidelines, and standards that help ensure consistency and efficiency in digital product design. As an intern in this field, you may assist with documenting components, creating design assets, collaborating with cross-functional teams, and ensuring that the system remains up-to-date and user-friendly. This role is ideal for students or recent graduates interested in user interface (UI), user experience (UX), and front-end development. It offers valuable experience in how large-scale design projects are managed and implemented.

What types of projects or tasks can I expect to work on as an intern in a design system team?

As an intern on a design system team, you can expect to work on a variety of tasks, such as creating and maintaining UI components, documenting design patterns, and collaborating with designers and developers to ensure consistency across products. You may also contribute to accessibility improvements, participate in user testing, and help gather feedback from stakeholders. This role typically involves close teamwork and offers a great opportunity to learn about scalable design and cross-functional collaboration in a real-world setting.

What are the key skills and qualifications needed to thrive as an internship design system, and why are they important?

To thrive in a Design System Internship, you need foundational knowledge in UI/UX design principles, proficiency in design tools, and a relevant academic background such as graphic design or human-computer interaction. Familiarity with tools like Figma, Sketch, Adobe XD, and basic understanding of front-end frameworks or design tokens is typically required. Strong collaboration, attention to detail, and effective communication skills make an intern stand out in this role. These abilities are crucial for creating cohesive, scalable design assets and ensuring alignment across multidisciplinary product teams.

What is the difference between Internship Design System vs UX Designer?

AspectInternship Design SystemUX Designer
Required CredentialsTypically pursuing or recent graduate in design, UI/UX, or related fieldsBachelor's or master's in design, human-computer interaction, or related fields
Work EnvironmentInternship programs within companies, focusing on supporting design teamsFull-time or freelance roles in various industries, leading user experience projects
Employer & Industry UsageUsed by companies to train and evaluate interns in design systems and UI componentsUsed by organizations to improve product usability and user satisfaction

The Internship Design System role focuses on supporting and learning about design systems during an internship, often as part of a training program. In contrast, a UX Designer is a full-time professional responsible for creating and optimizing user experiences. While both roles involve design skills, the internship is more educational and entry-level, whereas the UX Designer role involves independent project management and strategic design decisions.

What are popular job titles related to Internship Design System jobs in Berkeley, CA?

For Internship Design System jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Internship Design System jobs in Berkeley, CA look for?

The top searched job categories for Internship Design System jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Internship Design System jobs?

Cities near Berkeley, CA with the most Internship Design System job openings:

Internship Design System jobs near you
Infographic showing various Internship Design System job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $49,350 per year, or $23.7 per hour.

AI Engineer, Internship - Summer 2026 - Applications Open Now

Postman

Berkeley, CA

Temporary, Internship

Posted 21 days ago

Job description

The Opportunity (Summer 2026 AI Internship - Applications Open Now)

We're seeking an AI Engineer Intern to work alongside our AI team on large-scale AI and Agentic  systems from data pipeline to production deployment. This role is scoped for someone with foundational experience who wants to deepen it: you'll own discrete pieces of real systems under the mentorship of senior engineers, not shadow work or isolated coursework-style projects.

What You'll Do

You'll work directly with the AI team, taking responsibility for well-scoped pieces of real systems, with mentorship from senior engineers.

Benchmarks & Evaluation

  • Contribute to APIFlow-Bench, our open-source benchmark for real API-development work: design and review benchmark tasks and their mock API environments, extend the evaluation harness and task-generation pipeline in Python, and help maintain the public multi-model leaderboard with statistical confidence intervals.
  • Help build a new action-level AI safety benchmark: instead of grading what a model says, it scores what an agent actually does inside a simulated enterprise API environment. You'll work on scenario design, threat modeling (prompt injection, data exfiltration, permission overreach), and auditable evaluation design.

Model Training & Efficiency

  • Fine-tune open-weight models for tool calling and agentic tasks (SFT, distillation, and RL) using PyTorch and the open-source training ecosystem, on both managed training platforms and self-managed cloud GPUs.
  • Design and run experiments with rigor: evaluate every training run on our benchmarks, support ablation studies and error analysis, track experiments, and report results honestly, including cost.
  • Evaluate ultra-low-bit quantized models for on-device use: extend our quantized vs. full-precision benchmark comparisons and analyze where and why they diverge.

Agent Systems & Engineering Practice

  • Help build the next generation of Postman's in-product AI agent (Agent Mode): a deliberately minimal agent architecture that calls LLM APIs directly (tool loops, multi-step execution, checkpointing), primarily in TypeScript. No prior TypeScript is required; strong Python fundamentals transfer quickly.
  • Read the source code of open-source agent harnesses and turn what you learn into design specs and prototypes.
  • Document experiments, design decisions, and runbooks so your work is legible to the next person; flag safety, fairness, or privacy concerns you observe in model or agent behavior.
About You
  • Currently pursuing a BS, MS, or PhD in Computer Science, Data Science, or a related quantitative field.
  • Hands-on experience training or evaluating ML models: course projects, research, hackathons, or a prior internship all count.
  • Solid Python fundamentals: data structures, functions, basic testing; comfortable writing and reviewing code outside of notebooks.
  • Working knowledge of at least one deep-learning framework (PyTorch preferred).
  • Clear written and verbal communication, and a habit of documenting what you build.
Preferred Qualifications  (none required; the more of these you have, the better)
  • Experience fine-tuning open-weight LLMs (SFT, LoRA, RL, or distillation), with the improvement measured on a benchmark.
  • Experience building LLM agents (tool calling, multi-step loops) or LLM evaluation harnesses/benchmarks, and reporting results with statistical rigor.
  • A track record of shipping real software end-to-end: APIs and services, CLIs, Docker, CI/CD, cloud; public code on GitHub is a big plus.
  • Interest or experience in AI safety and robustness: red-teaming, prompt injection, agent security, fairness, or interpretability.
  • Exposure to model-efficiency work: quantization, low-bit inference, or serving optimization.
  • Evidence of rigor and initiative: publications, technical blog posts, ablation studies, or self-driven side projects with quantified results.
  • Fluency with AI coding tools (Claude Code, Cursor, Codex) to ship fast while still deeply understanding the systems you build.

Apply