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Python Coding Internship Jobs in Berkeley, CA (NOW HIRING)

Phonely Ltd

Software Engineer Intern

San Francisco, CA · On-site

Software Engineer Internship This is a high-impact internship where you'll write real code, ship ... Experience with backend development (Python or Node.js) * Familiarity with cloud platforms (AWS ...

Waabi

Research Internship/Co-op

San Francisco, CA · On-site

$45 - $60/hr

... and coding in Python and/or C++.. - Open-minded and collaborative team player with willingness to help others. - Passionate about self-driving technologies, solving hard problems, and creating ...

Waabi

Research Internship/Co-op

San Francisco, CA · On-site +1

$45 - $60/hr

... and coding in Python and/or C++.. - Open-minded and collaborative team player with willingness to help others. - Passionate about self-driving technologies, solving hard problems, and creating ...

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All JobsPython Coding JobsPython Coding Internship JobsPython Coding Internship Jobs in Berkeley, CA

Python Coding Internship information

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$16

$71

$105

How much do python coding internship jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for python coding internship in Berkeley, CA is $71.78, according to ZipRecruiter salary data. Most workers in this role earn between $59.18 and $81.54 per hour, depending on experience, location, and employer.

What is a Python coding internship?

A Python Coding Internship is a temporary position designed for students or recent graduates to gain practical experience in programming with Python. Interns typically work on real-world projects, assist with software development tasks, and learn from experienced developers. The internship provides hands-on exposure to coding, debugging, and using Python libraries and frameworks. It is an excellent opportunity to build technical skills, enhance your resume, and network within the tech industry.

What types of projects can I expect to work on during a Python coding internship?

As a Python Coding Intern, you will likely be assigned to real-world projects that help build your programming skills and exposure to industry practices. These projects often range from developing automation scripts, data analysis tools, or web applications to assisting in quality assurance and debugging tasks. You may work independently on small assignments or collaborate with experienced developers on larger features. This hands-on experience not only strengthens your technical skills but also helps you learn teamwork, version control, and agile development methods commonly used in professional environments.

What are the key skills and qualifications needed to thrive as a Python coding intern, and why are they important?

To thrive as a Python Coding Intern, you need a solid understanding of Python programming fundamentals, problem-solving abilities, and a background in computer science or a related field. Familiarity with version control systems like Git, code editors such as VS Code, and basic knowledge of frameworks like Flask or Django is often expected. Strong communication, eagerness to learn, and teamwork are soft skills that help interns collaborate effectively and adapt quickly. These skills and qualities are crucial for contributing to projects, learning from mentors, and building a foundation for a successful software development career.

What is the difference between Python Coding Internship vs Python Developer?

AspectPython Coding InternshipPython Developer
Required CredentialsTypically pursuing or recently completed a degree in CS or related fieldProfessional experience, often with a degree or certifications in Python or software development
Work EnvironmentInternship programs, entry-level projects, supervised settingsFull-time employment, collaborative teams, project ownership
Employer & Industry UsageTech companies, startups, educational institutionsTech firms, software companies, enterprise environments
Search & Comparison IntentLooking for entry-level Python roles or internshipsSeeking professional Python development roles

The main difference between a Python Coding Internship and a Python Developer role lies in experience level, responsibilities, and work environment. Internships are designed for students or recent graduates gaining initial exposure, often with supervised tasks. Python Developers are experienced professionals managing complex projects independently. Both roles are essential in the Python ecosystem, but they serve different career stages and expectations.

What are the most commonly searched types of Python Coding jobs in Berkeley, CA?

The most popular types of Python Coding jobs in Berkeley, CA are:

What are popular job titles related to Python Coding Internship jobs in Berkeley, CA?

For Python Coding Internship jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Python Coding Internship jobs in Berkeley, CA look for?

The top searched job categories for Python Coding Internship jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Python Coding Internship jobs?

Cities near Berkeley, CA with the most Python Coding Internship job openings:

Python Coding Internship jobs near you
Infographic showing various Python Coding Internship job openings in Berkeley, CA as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, and 6% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $149,299 per year, or $71.8 per hour.

AI Engineer, Internship - Summer 2026 - Applications Open Now

Postman

Berkeley, CA

Temporary, Internship

Posted 18 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