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Python Developer Intern Jobs in Pittsburg, CA (NOW HIRING)

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 ...

Applied Scientist Intern

San Francisco, CA ยท On-site

$17.75 - $23.50/hr

Applied Scientist Intern The dates for this internship are January 11, 2027-July 12, 2027. Are you ... Are experienced in one or more programming languages (preferably Python) and have experience ...

Internship Fall 2026 Software Engineering Intern (Fall 2026) Build production AI software across Python, FastAPI, React, and AWS--shipping features used by real CRE customers. Remote (United States ...

Applied Scientist Intern

San Francisco, CA

$17.75 - $23.50/hr

Applied Scientist Intern The dates for this internship are January 11, 2027-July 12, 2027. Are you ... Are experienced in one or more programming languages (preferably Python) and have experience ...

Aerodynamics Intern (Summer 2027)

San Francisco, CA ยท On-site

$19.75 - $25.50/hr

... every other engineering team, including GNC, structures, mechanical integration, avionics ... MATLAB, Python, Rust, or similar software tools * CAD advanced surfacing tools, such as CATIA or NX

Aerodynamics Intern (Spring 2027)

San Francisco, CA ยท On-site

$19.75 - $25.50/hr

... every other engineering team, including GNC, structures, mechanical integration, avionics ... MATLAB, Python, Rust, or similar software tools * CAD advanced surfacing tools, such as CATIA or NX

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Python Developer Intern information

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How much do python developer intern jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for python developer intern in Pittsburg, CA is $25.45, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $26.97 per hour, depending on experience, location, and employer.

What is a Python developer intern?

A Python Developer Intern is an entry-level role where interns assist in developing, testing, and maintaining software applications using Python. They work under the guidance of senior developers to write clean and efficient code, debug issues, and collaborate with teams on various projects. Interns may also gain experience with frameworks like Django or Flask, databases, and APIs. This role helps build hands-on programming skills and provides valuable industry experience for future opportunities.

What are the key skills and qualifications needed to thrive as a Python developer intern?

To thrive as a Python Developer Intern, you need a solid understanding of Python programming, problem-solving abilities, and foundational knowledge of computer science principles, often backed by coursework or personal projects. Familiarity with version control systems like Git, basic databases, and frameworks such as Flask or Django can be advantageous, though formal certifications are not always required. Effective collaboration, strong communication, and a willingness to learn help interns stand out in dynamic development teams. These skills are essential for quickly adapting to real-world projects, contributing meaningfully, and developing as a professional in a fast-paced tech environment.

What types of projects or tasks can I expect to work on as a Python developer intern?

As a Python Developer Intern, you may work on a variety of tasks ranging from writing and testing code to debugging existing applications and developing new features under the supervision of senior developers. You could be involved in supporting ongoing software development projects, automating routine processes, or contributing to data analysis efforts, depending on the team's focus. Interns often collaborate with mentors and other team members through code reviews, stand-up meetings, and paired programming sessions. This hands-on experience provides valuable exposure to industry best practices and helps build a strong foundation for future advancement within software development roles.

Is a Python Developer Intern worth it?

A Python Developer Intern position provides hands-on experience with Python programming, software development processes, and tools like Git and IDEs. It can enhance skills, build a professional network, and improve employability for future roles in tech. The value depends on the internship's quality and the opportunities for learning and mentorship offered.

Is there a demand for Python Developer Interns?

Yes, there is consistent demand for Python Developer Interns across various industries such as technology, finance, and data analysis. Employers seek interns with basic programming skills in Python, knowledge of frameworks like Django or Flask, and familiarity with version control tools like Git. Internships often require a foundational understanding of coding and problem-solving, making Python a valuable skill for entry-level roles.

What are the most commonly searched types of Python Developer jobs in Pittsburg, CA?

The most popular types of Python Developer jobs in Pittsburg, CA are:

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For Python Developer Intern jobs in Pittsburg, CA, the most frequently searched job titles are:

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What cities near Pittsburg, CA are hiring for Python Developer Intern jobs?

Cities near Pittsburg, CA with the most Python Developer Intern job openings:

Infographic showing various Python Developer Intern job openings in Pittsburg, CA as of June 2026, with employment types broken down into 1% Internship, 1% As Needed, 92% Full Time, 4% Part Time, 1% Temporary, and 1% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $52,932 per year, or $25.4 per hour.

AI Engineer, Internship - Summer 2026 - Applications Open Now

Berkeley, CA โ€ข On-site

Postman
Software Developmentย โ€ขย 501 - 1,000 employees

Temporary, Internship

Re-posted 8 days ago


Job description

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

We're seeking anย AI Engineer Intern to work alongside our AI team on large-scale AI and Agenticย  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 ย (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.