ZipRecruiter

Log In

1

Google Artificial Intelligence Jobs (NOW HIRING)

Ivy Tech

Faculty Fellow - Artificial Intelligence

Lafayette, IN · On-site

$47K - $64K/yr

Teach undergraduate courses in artificial intelligence and related disciplines. Develop new courses ... Experience with cloud platforms such as AWS, Azure, or Google Cloud. Areas of Interest Candidates ...

previous page

Showing results 41-60

All JobsTechnology JobsGoogle Artificial Intelligence Jobs

Google Artificial Intelligence information

See salary details

$45.5K

$104.6K

$144K

How much do google artificial intelligence jobs pay per year?

As of Aug 22, 2026, the average yearly pay for google artificial intelligence in the United States is $104,643.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $118,500.00 per year, depending on experience, location, and employer.

What is a Google Artificial Intelligence?

A Google Artificial Intelligence job involves working on cutting-edge AI research, development, and applications within Google's AI and machine learning teams. Roles may include AI research scientists, machine learning engineers, data scientists, and product managers focused on AI-driven solutions. Employees work on projects like Google Search, Google Assistant, TensorFlow, and deep learning models to advance AI capabilities. These jobs require strong technical skills in machine learning, programming, and data analysis, often with experience in Python, TensorFlow, or PyTorch.

What types of projects do professionals in Google Artificial Intelligence typically work on?

Professionals in Google Artificial Intelligence often work on cutting-edge projects such as developing machine learning models, natural language processing applications, computer vision systems, or optimizing large-scale data pipelines. Many roles involve both research and applied development, requiring close collaboration with product managers, software engineers, and data scientists. Teams are typically interdisciplinary, supporting a culture of innovation and rapid experimentation. Employees also have opportunities to contribute to open-source projects and publish research, which can accelerate personal and career growth.

What are the key skills and qualifications needed to thrive in the Google Artificial Intelligence position, and why are they important?

To thrive in a Google Artificial Intelligence role, you need a strong background in computer science, machine learning, and mathematics, typically supported by an advanced degree in a relevant field. Expertise with tools such as TensorFlow, Python, cloud platforms, and familiarity with large-scale data processing systems are essential; certifications in AI or data science can be advantageous. Excellent problem-solving abilities, strong communication skills, and the capacity to work collaboratively within cross-functional teams are critical soft skills. These competencies enable professionals to develop innovative AI solutions that drive impactful business outcomes at scale.

How to get a job in Google Artificial Intelligence?

To get a job in Google Artificial Intelligence, candidates should have a strong background in computer science, machine learning, or related fields, with skills in programming languages like Python and experience with AI frameworks such as TensorFlow. Relevant experience through research, projects, or internships, along with a solid understanding of algorithms and data structures, is also important. Applying through Google's careers portal and preparing for technical interviews are essential steps.
More about Google Artificial Intelligence jobs

What cities are hiring for Google Artificial Intelligence jobs?

Cities with the most Google Artificial Intelligence job openings:

What are the most commonly searched types of Google Artificial Intelligence jobs?

The most popular types of Google Artificial Intelligence jobs are:

What states have the most Google Artificial Intelligence jobs?

States with the most job openings for Google Artificial Intelligence jobs include:

What job categories do people searching Google Artificial Intelligence jobs look for?

The top searched job categories for Google Artificial Intelligence jobs are:

Google Artificial Intelligence jobs near you
Infographic showing various Google Artificial Intelligence job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $104,643 per year, or $50.3 per hour.

AVP, Artificial Intelligence

Credit One Bank

Las Vegas, NV

Full-time

Re-posted 25 days ago

Job description

Description

Position Summary
The Assistant Vice President of Artificial Intelligence (AVP of AI) is responsible for leading delivery and execution of AI and machine learning capabilities within a regulated banking, credit card, and financial services environment. Reporting to the VP of AI, this role acts as a hands-on technical leader and people manager for AI Engineers, ensuring AI solutions drive fraud prevention, credit risk management, customer experience personalization, and operational efficiency while meeting regulatory, privacy, and model risk requirements.
Essential Job Functions
  • Lead development and deployment of AI/ML and Generative AI solutions for fraud detection, credit scoring, underwriting, AML, and customer engagement.
  • Serve as technical authority for model architecture, feature engineering, training pipelines, and inference services.
  • Manage and mentor AI Engineers and ML practitioners; provide code and design reviews.
  • Implement AIOps/MLOps and model governance practices aligned with banking regulations and internal Model Risk Management (MRM) standards.
  • Partner with Risk, Compliance, Legal, Cybersecurity, and Data teams to ensure Responsible AI adoption.
  • Oversee model validation, explainability, bias testing, and audit readiness.
  • Collaborate with product and business leaders to translate financial use cases into scalable AI solutions.
Position RequirementsCore AI Concepts and Technologies Required:
  • Machine Learning & Modeling
    • Supervised, unsupervised, reinforcement learning
    • Deep learning (CNNs, RNNs, Transformers)
    • Natural Language Processing (NLP) & LLMs
    • Generative AI (diffusion models, fine-tuning, RAG)
    • AI Engineering & MLOps
  • AI Engineering & MLOps
    • Model training, deployment, monitoring, and retraining
    • Feature stores, vector databases, and model registries
    • CI/CD pipelines for ML (MLOps)
    • GPU/accelerator compute architectures
  • Cloud & Infrastructure
    • Azure AI, Azure ML, AWS Sagemaker, or Google Vertex AI
    • Kubernetes, containerization, microservices
    • Data platforms (Databricks, Snowflake, Synapse)
  • Responsible AI & Governance
    • Model explainability (SHAP, LIME)
    • Fairness, bias detection, model risk controls
    • Privacy-preserving ML techniques (differential privacy, federated learning)
  • Programming & Tooling
    • Python, PyTorch, TensorFlow, JAX
    • LangChain, semantic search, vector embeddings
    • Prompt engineering & LLM orchestration frameworks
  • Excellent communication, problem-solving, and project management skills
  • Ability to collaborate effectively and follow up ensure achievement of deadlines, outcomes and results.
  • Demonstrate company core values of excellence, ownership, collaboration, and integrity.
Preferred
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
  • 5-8 + years of experience in AI/ML or data science.
  • Experience working with large-scale financial or transactional data is preferred.
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.

Apply