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

Gitar, Inc.

Software Engineer Intern

San Mateo, CA · On-site

At Gitar, we're on a mission to revolutionize how developers work with code, by providing a cutting ... TS/JS, Go, Java, Kotlin, Ruby, Python, Swift. * Excellent problem-solving, analytical, and ...

Pronto

Robotics Controls Engineer

San Francisco, CA

$119K - $161K/yr

Write production-quality Python code that runs reliably and efficiently * Travel note: This role ... internship) software development experience * Strong foundation in classical control theory (PID ...

Palantir

Software Engineer, Internship

Palo Alto, CA

$10K/mo

Experience coding in programming languages, such as Java, C++, Python, JavaScript, or similar languages. * Must be planning on graduating in 2028. This should be your final internship before ...

Palantir

Software Engineer, Internship

Palo Alto, CA · On-site

$10K/mo

Experience coding in programming languages, such as Java, C++, Python, JavaScript, or similar languages. * Must be planning on graduating in 2028. This should be your final internship before ...

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

Python Coding Internship information

See Sunnyvale, CA salary details

$15

$68

$101

How much do python coding internship jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for python coding internship in Sunnyvale, CA is $68.80, according to ZipRecruiter salary data. Most workers in this role earn between $56.73 and $78.17 per hour, depending on experience, location, and employer.

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 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 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 are popular job titles related to Python Coding Internship jobs in Sunnyvale, CA? For Python Coding Internship jobs in Sunnyvale, CA, the most frequently searched job titles are:
What job categories do people searching Python Coding Internship jobs in Sunnyvale, CA look for? The top searched job categories for Python Coding Internship jobs in Sunnyvale, CA are:
What cities near Sunnyvale, CA are hiring for Python Coding Internship jobs? Cities near Sunnyvale, CA with the most Python Coding Internship job openings:
Python Coding Internship jobs near you
Infographic showing various Python Coding Internship job openings in Sunnyvale, CA as of June 2026, with employment types broken down into 4% Internship, 80% Full Time, 15% Part Time, and 1% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $143,106 per year, or $68.8 per hour.

Internship - 2024 Summer Intern, PhD Research Scientist, Generative AI

Waymo

Mountain View, CA • On-site

Other

Re-posted 29 days ago

Job description

Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they're going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the Waymo Driver-The World's Most Experienced Driver-to improve everyone's access to mobility while saving thousands of lives now lost to traffic crashes. Our Waymo Driver powers Waymo One, our fully autonomous ride-hailing service, as well as Waymo Via, our trucking and local delivery service. To date, Waymo has driven over 20 million miles autonomously on public roads across 25 U.S. cities and conducted over 20 billion miles of simulation testing.
At Waymo, we are mission-driven and believe deeply in the opportunity of autonomous driving technology to improve mobility and make people's lives better. We are united by purpose and responsibility (for our employees and riders alike). We are looking for kind, committed, employees who have integrity, dream big, work together as one team and create a sense of belonging for one another that is the foundation of our culture. We want each team member to feel welcomed and included in every step of our exciting journey.

The mission of the Waymo Research team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. Research areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

Waymo interns work alongside leaders in the industry on projects that deliver significant impact to the company. We believe learning is a two-way street: leveraging your knowledge while providing you with opportunities to expand your skill-set. Interns are an important part of our culture and our recruiting pipeline. Join us at Waymo for a fun and rewarding internship!

In this role, you'll:

  • Work on open-ended ML research problems for realistic simulation for the autonomous vehicle's driving environment.
  • Frame the open-ended real-world problems into well-defined ML problems; develop and apply cutting-edge ML approaches (deep learning, generative modeling, reinforcement learning, etc) to these problems; scale them to Google-sized data pipelines; and streamline them to run in real-time on the cars.
  • Collaborate with other teams, including the ML infrastructure, simulation and systems engineering teams, as well as Google Brain, DeepMind and academia.
  • Get an opportunity to publish findings in academic conferences and journals, and/or externally publicize the work in public-facing blog posts.

At a minimum we'd like you to have:

  • Currently enrolled in a PhD program in Computer Science, Robotics, similar technical field of study
  • Experience solving problems using Machine Learning with Tensorflow, JAX or equivalent tools
  • Ability to collaborate within and across teams
  • Ability to independently drive a reasonably-scoped, open-ended research project
  • Strong experience programming in Python with robust and efficient code

It's preferred if you have:

  • Strong track record of high quality ML research, for example demonstrated by conference publications in venues such as CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, etc.
  • Experience applying machine learning to sequence modeling, behavior forecasting, simulation, or robotics
  • Experience with generative models (e.g., autoregressive models, diffusion models, GANs, VAEs, etc.)

Apply