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Summer Coding Jobs in California (NOW HIRING)

The Bay Club Company

Summer Camp Sports Instructor

Novato, CA · On-site

$18.75 - $25.50/hr

GENERAL SUMMARY Under the direction of the Family Programming Director, the Summer Camp Sports ... Our Code of Culture includes Our Mantra, Our Actions We Live By, and Pete's Promise: Our Mantra:

The Bay Club Company

Summer Camp Sports Instructor

Novato, CA · On-site

$18.75 - $25.50/hr

GENERAL SUMMARY Under the direction of the Family Programming Director, the Summer Camp Sports ... Our Code of Culture includes Our Mantra, Our Actions We Live By, and Pete's Promise: Our Mantra:

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How much do summer coding jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for summer coding in California is $20.11, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $21.89 per hour, depending on experience, location, and employer.

What kind of projects or tasks can I expect to work on in a summer coding role?

In a Summer Coding role, you'll typically work on real-world software development projects such as building websites, designing applications, fixing bugs, or adding new features to existing products. Depending on the organization, you may work individually or as part of a team, collaborating with fellow developers, designers, or mentors. Tasks often include writing and testing code, participating in code reviews, and contributing to documentation. This hands-on project work not only builds your technical skills but also gives you valuable experience in team collaboration and agile development environments.

What is a summer coding?

A Summer Coding job is a temporary position, usually for students or interns, where participants work on programming-related tasks during the summer. These jobs can involve software development, debugging, testing, or learning new coding skills while contributing to real projects. They are often offered by tech companies, startups, or educational programs to provide hands-on experience and industry exposure.

What are the key skills and qualifications needed to thrive in a summer coding position, and why are they important?

To thrive in a Summer Coding role, candidates should have foundational programming knowledge, problem-solving ability, and familiarity with at least one modern programming language, often supported by coursework or coding bootcamp experience. Experience with collaborative tools such as Git, cloud-based IDEs, and basic understanding of project management software is valuable. Strong communication, a willingness to learn, and adaptability help individuals excel in team-based and fast-paced environments. These skills and qualities are crucial for successfully completing coding projects, meeting deadlines, and making the most of a short-term, intensive learning and work experience.

What are the most commonly searched types of Coding jobs in California? The most popular types of Coding jobs in California are:
What are popular job titles related to Summer Coding jobs in California? For Summer Coding jobs in California, the most frequently searched job titles are:
What job categories do people searching Summer Coding jobs in California look for? The top searched job categories for Summer Coding jobs in California are:
What cities in California are hiring for Summer Coding jobs? Cities in California with the most Summer Coding job openings:
Summer Coding jobs near you
Infographic showing various Summer Coding job openings in California as of August 2026, with employment types broken down into 1% Internship, 41% Full Time, 49% Part Time, 2% Temporary, 6% Contract, and 1% Summer. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution, with an average salary of $41,832 per year, or $20.1 per hour.

AI Engineer, Internship - Summer 2026 - Applications Open Now

Postman

Berkeley, CA

Temporary, Internship

Posted 10 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