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Summer Python Developer Google Jobs in Virginia (NOW HIRING)

Python, Machine Learning, Deep Learning, Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, SQL, NLP ... Build scalable ML pipelines using MLflow, Kubeflow, Databricks, AWS, Azure, or Google Cloud ...

Linux Google Cloud Platform (Google Cloud Platform) Python Terraform Docker Kubernetes GitLab CI/CD ... engineering concepts An undergraduate or graduate degree in computer science or related field ...

Google Cloud Engineer

Herndon, VA · Remote

$57.25 - $76.50/hr

Python) * Strong understanding of Google Cloud services and technologies * Experience leading ... Strong understanding of DevOps practices and experience implementing CI/CD in cloud environments

Showing results 21-40

Summer Python Developer Google information

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 Virginia?

The most popular types of Python Developer Google jobs in Virginia are:

What cities in Virginia are hiring for Summer Python Developer Google jobs?

Cities in Virginia with the most Summer Python Developer Google job openings:

Forward Deployed Engineer IV, Google Public Sector with Security Clearance

Google, Inc.

Reston, VA • On-site

$55 - $75.25/hr

Other

Posted 23 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 245 rated software companies


Job description

In most instances, this position requires in-person interviews as part of the hiring process.Minimum qualifications: * Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. * 8 years of experience with software development using Python or similar coding languages. * Experience architecting AI systems on cloud platforms (e.g. Google Cloud Platform (GCP)). * Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions. * Experience leading technical discovery sessions with customers. * Must possess an active Top Secret/SCI security clearance with current polygraph. Preferred qualifications: * Master's degree or PhD in AI, Computer Science, or a related technical field. * Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). * Proven experience architecting integrated systems, navigating real-time inference constraints, and implementing model quantization for resource-constrained environments. * Proficiency in Vertex AI Pipelines, Kubeflow, or MLflow to implement CI/CD/CT automation and experimentation. * Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. * Designing resilient data engineering pipelines using BigQuery and VertexAI for enterprise-scale analytics. About the job
As a part of the Google Public Sector Forward Deployed Engineering (GPS FDE) team, you will join squad of "innovator-builders" who rapidly deploy production-grade, secure AI solutions across Federal and SLED environments. You will operate with a high-agency startup mindset, where engineers don't just advise; they actively code, debug, and co-build bespoke agentic workflows directly alongside customers. You will resolve complex integration, data sovereignty, and security challenges within strict compliance frameworks. You will help the GPS FDE team accelerate the safe, reliable adoption of generative AI across mission-critical operations while feeding field insights directly back to Google Cloud Product engineering.Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities * Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable Return on Investment (ROI). * Architect and code the connective tissue between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team. * Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency. * Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. * Co-build with Customer Engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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