1

Google Ai Jobs in Reno, NV (NOW HIRING)

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale ...

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale ...

Data Center Operations Manager

Reno, NV ยท On-site

$166K/yr

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale ...

Complete a device compatibility check and an AI-enabled interview during onboarding. Required ... Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or ...

Complete a device compatibility check and an AI-enabled interview during onboarding. Required ... Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or ...

Complete a device compatibility check and an AI-enabled interview during onboarding. Required ... Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or ...

Complete a device compatibility check and an AI-enabled interview during onboarding. Required ... Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or ...

Complete a device compatibility check and an AI-enabled interview during onboarding. Required ... Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or ...

Complete a device compatibility check and an AI-enabled interview during onboarding. Required ... Must own a compatible smartphone: iPhone 12 or later, Google Pixel 6 to 9, or Samsung Galaxy S21 or ...

next page

Showing results 1-20

Google Ai information

See Reno, NV salary details

$23.4K

$110.8K

$195.2K

How much do google ai jobs pay per year?

As of Aug 6, 2026, the average yearly pay for google ai in Reno, NV is $110,805.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,427.00 and $147,834.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Google AI position?

To excel in a Google AI role, you typically need a strong background in computer science, mathematics, or a related field, as well as expertise in machine learning, data analysis, and programming languages such as Python or C++. Experience with technical tools like TensorFlow, PyTorch, cloud computing platforms, and a portfolio of relevant projects or research is highly valued. Exceptional problem-solving abilities, clear communication, and the capacity to work collaboratively in cross-functional teams are crucial soft skills. These competencies enable innovation, efficient teamwork, and the successful implementation of advanced AI solutions at scale.

What is a Google AI?

A Google AI job involves working on artificial intelligence research, development, and deployment within Google's AI teams. Roles include machine learning engineers, research scientists, and AI product managers, focusing on innovations in deep learning, natural language processing, and computer vision. Employees work on projects like Google Search, Assistant, and generative AI models. Strong expertise in AI, programming, and data science is typically required.

How to get a job in Google AI?

To get a job in Google AI, candidates should have a strong background in computer science, machine learning, or related fields, along with experience in programming languages like Python or TensorFlow. Building a portfolio of relevant projects, obtaining advanced degrees, and staying updated on AI research can improve chances. Applying through Google's careers portal and preparing for technical interviews are essential steps.

What does a Google AI do?

In a Google AI role, your daily activities often include designing and developing new machine learning models, analyzing large datasets, and collaborating with fellow researchers and engineers to deploy scalable solutions. You may participate in brainstorming sessions, code reviews, and meetings to align on project goals and milestones. The environment is fast-paced yet highly collaborative, with ample opportunities to publish research, contribute to open-source projects, or mentor junior team members. This role offers ongoing learning and professional growth, as Google supports continuous education and engagement with cutting-edge AI advancements.

What are popular job titles related to Google Ai jobs in Reno, NV? For Google Ai jobs in Reno, NV, the most frequently searched job titles are:
What job categories do people searching Google Ai jobs in Reno, NV look for? The top searched job categories for Google Ai jobs in Reno, NV are:
What cities near Reno, NV are hiring for Google Ai jobs? Cities near Reno, NV with the most Google Ai job openings:
Infographic showing various Google Ai job openings in Reno, NV as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $110,805 per year, or $53.3 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Carson City, NV โ€ข On-site

Other

Re-posted 16 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

โ€‹

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelorโ€™s or Masterโ€™s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.