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Internship Python Developer Google Jobs in Houston, TX

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

Preference for students who have completed 3+ years of coursework by the internship start date * Experience with object-oriented programming (e.g., C#, Java, Python, C++) * Strong analytical and ...

Description Internship Overview You won't be running coffee orders or shuffling paperwork this ... Engineering, Business Analytics, or related field * Strong Excel/analytics skills; SQL or Python a ...

Proficiency in one or more programming languages (e.g., JavaScript, Python, C#, Java) * Experience ... Exposure to cloud platforms (Azure, AWS, or Google Cloud) * Knowledge of CI/CD pipelines and DevOps ...

Showing results 41-60

Internship Python Developer Google information

See Houston, TX salary details

$12

$55

$82

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

As of Sep 12, 2026, the average hourly pay for internship python developer google in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

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

AspectInternship Python Developer GoogleInternship Data Analyst Google
Required SkillsPython, programming, basic data structuresExcel, SQL, data visualization
Work EnvironmentSoftware development teams, coding projectsData analysis, reporting, dashboards
Industry UsageSoftware, tech, AI projectsBusiness intelligence, marketing, operations

Internship Python Developer Google focuses on coding, software development, and programming skills, often in AI or backend projects. In contrast, Internship Data Analyst Google emphasizes data analysis, visualization, and reporting skills for business insights. Both roles are valuable entry points in Google's tech ecosystem but serve different functions within the company's diverse projects.

Infographic showing various Internship Python Developer Google job openings in Houston, TX as of August 2026, with employment types broken down into 1% Internship, 85% Full Time, 8% Part Time, 2% Temporary, and 4% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $116,442 per year, or $56 per hour.

AI Applications Engineering Internship

Houston, TX • On-site

Fervo Energy
Clean Energy Semiconductors Manufacturing • 11 - 50 employees

$16 - $20.75/hr

Internship

Posted 12 days ago


Job description

Description

Internship Overview 


You won't be running coffee orders or shuffling paperwork this summer. At Fervo, interns are handed something real: a project of your own, scoped with your manager on day one and yours to drive for the full 12 weeks. You'll work side-by-side with the teams building the next generation of geothermal energy, tackling problems that genuinely move the business forward. At the end of the summer, you'll present your work to our executive leadership team, department leads, and fellow interns, sharing real results with a real audience. This is a real seat at the table - and a real shot at what comes next. 


Position Description 


Fervo Energy is developing next-generation geothermal power to deliver firm, carbon-free energy at scale, anchored by our flagship Cape Station project in Milford, Utah. We're building a dedicated AI team to unlock transformational value across drilling, reservoir modeling, operations, and commercial strategy, and we're looking for a graduate-level AI Applications Engineering Intern (PhD candidates strongly preferred) to help lead the way. 


You'll apply cutting-edge AI to real problems in geothermal development, from hybrid AI-physics models for subsurface forecasting to RAG systems for knowledge management and predictive maintenance models, serving as an internal consultant on Fervo's Strategy Team and partnering with end-user departments to guide decision-makers through complex technical, operational, and commercial challenges 

Requirements

Responsibilities 

  • Develop, train, and evaluate advanced AI models (LLMs, ML, time-series, hybrid physics-informed)
  • Collaborate with end-user teams to scope and deliver applied AI solutions
  • Contribute to Fervo's centralized AI infrastructure and data architecture
  • Document methodologies and provide clear technical communication to technical and non-technical stakeholders
  • Present findings and recommendations to cross-functional teams, including senior leadership 

Required Qualifications 

  • Graduate student or PhD candidate in Computer Science, Applied Mathematics, or a related quantitative field with a focus on AI/ML
  • Strong proficiency in Python and machine learning frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)
  • Demonstrated research experience in one or more of: large language models, time-series analysis, physics-informed ML, optimization, or reinforcement learning
  • Ability to apply theoretical knowledge to practical, messy, real-world datasets
  • Excellent problem-solving, communication and collaboration skills
  • Self-starter with the ability to scope and drive projects independently 

Preferred Qualifications 

  • Experience with energy systems, industrial operations, or geoscience applications
  • Prior experience with RAG architectures, data engineering, or scalable model deployment