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Internship Python Developer Google Jobs in Washington

Angarai

Applications Programmer

College Park, MD · On-site

... internships may count toward experience). * Experience with Python programming . * Experience ... Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. * Experience building or ...

Pwc

GenAI Python Systems Engineer-Manager

Washington, DC · On-site

$99K - $232K/yr

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Pwc

GenAI Python Systems Engineer-Director

Washington, DC · On-site

$155K - $410K/yr

... Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions ... is a plus - Proficient in Python and structured/unstructured data - Proficient in SQL and ...

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Internship Python Developer Google information

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.

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Internship Python Developer Google jobs near you

AI/ML Engineer, National Security, Google Public Sector

Google

Washington, DC • On-site

Full-time

Posted 18 days ago

Google rating

8.7

Company rating: 8.7 out of 10

Based on 91 frontline employees who took The Breakroom Quiz

36th of 183 rated software companies

Job description

Job Summary:
Google is a leading technology company dedicated to transforming and evolving businesses through innovative solutions. The AI/ML Engineer will play a crucial role in guiding customers through their business transformation by leveraging Google's AI technologies, designing and implementing technical architectures, and serving as a trusted technical advisor.
Responsibilities:
• Be a trusted technical advisor to customers and solve complex machine learning challenges.
• Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations adapting to different levels of key business and technical stakeholders.
• Work with customers, partners, and Google product teams to deliver tailored solutions into production.
• Coach customers on the practical challenges in ML systems: feature extraction/feature definition, data validation, monitoring, and management of features/models.
Qualifications:
Required:
• Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.
• Bachelor's degree in Computer Science or equivalent practical experience.
• 6 years of experience building machine learning solutions and working with technical customers.
• Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design.
• Experience with frameworks for deep learning (e.g., Tensorflow, Jax, PyTorch, Ray, etc.), AI accelerators (e.g., TPUs, GPUs), model architectures (e.g., encoders, decoders, transformers), and using machine learning APIs.
• Must possess an active Top Secret/SCI security clearance with current polygraph.
• Ability to travel up to 30% of the time.
Preferred:
• Experience with LLMs and LLM-based solutions such as prompt engineering, fine-tuning, RAG workflows, and agentic systems.
• Experience in containerizing ML workloads within Linux/Unix environments.
• Ability to lead the design and implementation of AI-based solutions, web services, and debugging tools.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Google employees say

Pay

Benefits

Hours and flexibility

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