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Internship Python Jobs in Moraga, CA (NOW HIRING)

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If ... Proficiency with an object-oriented programming language, such as Python, Swift, Objective C or ...

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

We're seeking interns who care about outcomes, think in systems, and make data-driven decisions. If ... Proficiency with an object-oriented programming language, such as Python, Swift, Objective C or ...

Waabi

Research Internship/Co-op

San Francisco, CA

$45 - $60/hr

... internships, work experience, coding competitions, and/or research projects and papers. - Strong ... Python and/or C++.. - Open-minded and collaborative team player with willingness to help others ...

Waabi

Research Internship/Co-op

San Francisco, CA · On-site +1

$45 - $60/hr

... internships, work experience, coding competitions, and/or research projects and papers. - Strong ... Python and/or C++.. - Open-minded and collaborative team player with willingness to help others ...

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How much do internship python jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for internship python in Moraga, CA is $62.25, according to ZipRecruiter salary data. Most workers in this role earn between $51.30 and $70.72 per hour, depending on experience, location, and employer.

What is an internship Python?

An Internship Python job is a temporary position where interns gain hands-on experience working with Python in real-world projects. Typically, interns assist in coding, debugging, data analysis, and automation tasks under the guidance of experienced developers. These internships help build practical programming skills and improve problem-solving abilities. They are often offered by tech companies, startups, and research institutions.

What types of projects and responsibilities can I expect during a Python internship?

During a Python internship, you can expect to work on a variety of tasks such as writing and testing Python scripts, assisting in the development of web applications, automating data processing pipelines, or contributing to team-based coding projects. Interns often collaborate with senior developers and may participate in code reviews, debugging sessions, and regular team meetings. These projects are designed to give hands-on experience with professional development workflows and tools, helping interns build both their technical and teamwork skills. You may also have opportunities to learn about project management practices and contribute ideas to real-world solutions. Many organizations offer mentorship and structured feedback to help you grow and prepare for future roles in software development.

What are the key skills and qualifications needed to thrive in the internship Python position, and why are they important?

To thrive as an Internship Python candidate, you should have a solid understanding of Python programming fundamentals, data structures, and algorithms, often backed by coursework or self-taught projects. Familiarity with version control systems like Git and experience working with Python libraries such as pandas, NumPy, or Flask is highly beneficial. Strong problem-solving skills, eagerness to learn, and effective communication are important soft skills for this position. These skills enable you to effectively contribute to team projects, adapt to real-world coding tasks, and grow within a professional software development environment.

Are Python coders in demand?

Python coders are highly in demand across various industries such as technology, finance, and data science due to Python's versatility and widespread use in automation, web development, and machine learning. Employers seek Python skills for roles involving scripting, data analysis, and software development, often requiring knowledge of frameworks like Django or libraries such as Pandas and TensorFlow.

Is a Python internship worth it?

A Python internship provides practical experience in programming, often involving tasks with Python, data analysis, or automation, which can enhance a candidate's skills and employability. It offers opportunities to learn industry tools, build a portfolio, and network with professionals, making it a valuable step for those pursuing a career in software development or data science.

What jobs can I get with Python experience?

Python experience can qualify you for roles such as software developer, data analyst, data scientist, automation engineer, and backend developer. These jobs often require knowledge of frameworks like Django or Flask, and familiarity with version control tools like Git.
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Internship Python jobs near you

AI Engineer, Internship - Summer 2026 - Applications Open Now

Postman

Berkeley, CA

Temporary, Internship

Posted 22 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