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Summer Python Developer Google Jobs in San Francisco, CA

Python Developer

San Francisco, CA · Remote

$200 - $300/hr

This role is ideal for engineers who have built production systems at companies like Google ... Build agents and automated verification tools in Python that can verify the quality of code and ...

Python Integrations Developer

San Francisco, CA · Remote

$51.50 - $71/hr

The Role We're looking for a Python Integrations Developer to own and expand the third-party ... Google Analytics 4, Google BigQuery, Google Tag Manager, Looker Requirements Must Have * 3+ years ...

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

The Role We're looking for a Python Integrations Developer to own and expand the third-party ... Google Analytics 4, Google BigQuery, Google Tag Manager, Looker Requirements Must Have * 3+ years ...

Python Integrations Developer

San Francisco, CA · Remote

$59.25 - $81.50/hr

The Role We're looking for a Python Integrations Developer to own and expand the third-party ... Google Analytics 4, Google BigQuery, Google Tag Manager, Looker Requirements Must Have * 3+ years ...

Senior GenAI / Agentic AI Engineer (Python-heavy) Contract: 6 months (possible extension) Location ... Experience with Google ADK (Agent Development Kit) is highly preferred. Key Responsibilities

We are looking for an experienced engineering leader to help us design and improve customer ... Experience with Google Play APIs: Maps, Location, and Cloud Messaging * Experience with third-party ...

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Summer Python Developer Google information

See San Francisco, CA salary details

$15

$69

$101

How much do summer python developer google jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for summer python developer google in San Francisco, CA is $69.07, according to ZipRecruiter salary data. Most workers in this role earn between $56.92 and $78.46 per hour, depending on experience, location, and employer.

What is the difference between Summer Python Developer Google vs Summer Data Analyst Google?

AspectSummer Python Developer GoogleSummer Data Analyst Google
Required SkillsPython, programming, data structuresExcel, SQL, data visualization
Work EnvironmentSoftware development teams, coding projectsData analysis teams, reporting tasks
Industry UsageTech, software, AI projectsBusiness, marketing, product insights

Summer Python Developer Google focuses on coding and developing software solutions using Python, often working on AI or backend projects. In contrast, Summer Data Analyst Google emphasizes analyzing data, creating reports, and deriving insights. Both roles are popular summer internships at Google, but they serve different functions within the tech ecosystem.

What are the most commonly searched types of Python Developer Google jobs in San Francisco, CA?

The most popular types of Python Developer Google jobs in San Francisco, CA are:

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For Summer Python Developer Google jobs in San Francisco, CA, the most frequently searched job titles are:

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The top searched job categories for Summer Python Developer Google jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Summer Python Developer Google jobs?

Cities near San Francisco, CA with the most Summer Python Developer Google job openings:

Python Developer

Turing

San Francisco, CA • Remote

$200 - $300/hr

Contractor

Medical, PTO

Posted 5 days ago


Job description

About Us:
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
Ideal Background:
This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from top computer science programs such as Stanford, MIT, Carnegie Mellon, UC Berkeley, Georgia Tech, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.
Project Overview:
As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections — with a primary focus on Python across backend services, data pipelines, and ML infrastructure, alongside JavaScript (including ReactJS), C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
What Does a Typical Day Look Like?
  • Work on AI model training initiatives by curating code examples, building solutions, and correcting code — primarily in Python, with additional work in JavaScript (including ReactJS), C/C++, Java, Rust, and Go.
  • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable.
  • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
  • Build agents and automated verification tools in Python that can verify the quality of code and identify error patterns.
  • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
  • Design verification mechanisms that can automatically verify a solution to a software engineering task.

Required Skills:
  • Several years of software engineering experience (3 years or more).
  • Strong expertise in Python with deep knowledge of frameworks, tooling, and best practices for building production-grade software.
  • Experience building full-stack applications and deploying scalable software using modern languages and tools.
  • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
  • Excellent oral and written communication skills for clear, structured evaluation rationales.

Engagement Details:
  • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week.
  • Type: Contractor (no medical/paid leave).
  • Duration: 1 month (potential extensions based on performance and fit).
  • Location: Candidates must be based in the United States.

Evaluation Process:
  • The application process takes 15–30 minutes.
  • Completion of an AI video interview is required.