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Computer Science Google Jobs in Hawaii (NOW HIRING)

Vultus Inc

Machine Learning Engineer

Honolulu, HI · On-site +1

$110K - $145K/yr

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a ... Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. * Understanding of CI ...

Cymertek Corporation

Cloud Automation Engineer

Honolulu, HI · On-site

$55 - $73.50/hr

... g., AWS, Azure, Google Cloud) • Strong scripting skills in Python, Bash, or PowerShell • ... Computer Science, Information Technology, Software Engineering, Cloud Computing, Data Science ...

Cheez

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ...

Cheez

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ...

Cheez

Product Manager @ Social app startup

Honolulu, HI · On-site

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ...

Cheez

Product Manager @ Social app startup

Mililani, HI · On-site

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ...

Cheez

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ...

Cheez

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ...

Cheez

Product Manager @ Social app startup

Waipahu, HI · On-site

Collaborate with the Founder/CEO, Engineering & Design team (ex-Google/Apple/Facebook/Microsoft) to ... Bachelor's degree in Computer Science, Engineering, Business or a related field (preferred, not ...

Amentum

Bachelor's degree linked to data analytics (e.g., math, physics, computer science) OR problem set ... Familiarity with major cloud providers (AWS, Azure, or Google Cloud) is essential. * Proficiency in ...

Danaher

Digital Analyst Internships

Pearl City, HI · On-site

$102K - $120K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Danaher

Digital Analyst Internships

Mililani, HI · On-site

$95K - $112K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Danaher

Digital Analyst Internships

Waipahu, HI · On-site

$98K - $116K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

Danaher

$95K - $112K/yr

Analyzing data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract ... Students currently pursuing a bachelor's degree in Computer Science, Information Systems, or a ...

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All JobsComputer Science Google JobsComputer Science Google Jobs in Hawaii

Computer Science Google information

See Hawaii salary details

$34.8K

$50.2K

$66K

How much do computer science google jobs pay per year?

As of Aug 17, 2026, the average yearly pay for computer science google in Hawaii is $50,180.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,500.00 and $57,700.00 per year, depending on experience, location, and employer.

What is a computer science Google job?

A Computer Science job at Google typically involves developing, testing, and optimizing software, algorithms, or systems that power Google’s products and services. Roles may include Software Engineer, Machine Learning Engineer, Site Reliability Engineer, and more. Employees work on large-scale computing challenges, AI advancements, and performance improvements. Strong programming skills, problem-solving abilities, and experience with data structures and algorithms are crucial for these roles.

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

To excel in a Computer Science role at Google, candidates typically need strong programming skills, a solid understanding of algorithms and data structures, and a degree in Computer Science or a related field. Familiarity with languages like Python, Java, or C++, and experience using version control systems, cloud platforms, and technical certifications such as Google Cloud Certification are often advantageous. Excellent problem-solving abilities, effective teamwork, and strong communication skills distinguish outstanding candidates in this role. These qualifications are essential to tackling complex technical challenges, collaborating across diverse teams, and driving innovation at a leading technology company.

What opportunities for career growth and development are available to computer science professionals at Google?

Computer science professionals at Google enjoy a wide range of career development opportunities, including technical and leadership tracks, mentorship programs, and internal mobility options. Google encourages continuous learning through free access to courses, workshops, and attendance at industry conferences. Team members can work on diverse projects, collaborate with experts in various fields, and often rotate between teams to broaden their experience. This dynamic environment supports both vertical advancement and the chance to develop broader technical expertise over time.

Does Google hire computer scientists?

Yes, Google hires computer scientists for roles in software engineering, research, and related fields. These positions often require strong programming skills, knowledge of algorithms, and experience with tools like Python, C++, or Java. Google offers a competitive environment with opportunities for innovation and growth in technology development.

Is a computer science degree required at Google?

A computer science degree is not strictly required for many roles at Google, as the company values skills, problem-solving ability, and practical experience. Candidates with strong coding skills, proficiency in relevant programming languages, and relevant projects can often qualify without a formal degree in computer science.

What are popular job titles related to Computer Science Google jobs in Hawaii?

For Computer Science Google jobs in Hawaii, the most frequently searched job titles are:

What job categories do people searching Computer Science Google jobs in Hawaii look for?

The top searched job categories for Computer Science Google jobs in Hawaii are:

Computer Science Google jobs near you
Infographic showing various Computer Science Google job openings in Hawaii as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution, with an average salary of $50,180 per year, or $24.1 per hour.

Machine Learning Engineer

Vultus Inc

Honolulu, HI • On-site, Remote

$110K - $145K/yr

Full-time

Posted 27 days ago

Job description

Machine Learning EngineerJob Summary

We are looking for a talented Machine Learning Engineer to design, develop, and deploy scalable machine learning models that solve complex business problems. The ideal candidate should have experience in data preprocessing, model development, feature engineering, and deploying ML solutions in production environments. You will work closely with data scientists, software engineers, and product teams to build intelligent applications.

Key Responsibilities
  • Design, build, and deploy machine learning models for predictive analytics and automation.
  • Collect, clean, and preprocess structured and unstructured datasets.
  • Perform feature engineering and model optimization to improve performance.
  • Train, validate, and evaluate machine learning models using industry best practices.
  • Deploy ML models using cloud platforms and containerization technologies.
  • Monitor model performance and retrain models as needed.
  • Collaborate with cross-functional teams to understand business requirements.
  • Develop APIs and services for model inference.
  • Document model architecture, experiments, and deployment processes.
  • Stay updated with the latest advancements in AI and machine learning technologies.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
  • 3–6 years of experience in Machine Learning or Artificial Intelligence.
  • Strong programming skills in Python.
  • Experience with supervised and unsupervised learning algorithms.
  • Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of statistics, probability, and linear algebra.
  • Experience with SQL and NoSQL databases.
  • Familiarity with REST APIs and microservices architecture.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Understanding of CI/CD pipelines for ML deployment.
Primary Skills
  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow
  • PyTorch
  • Scikit-learn
  • Pandas
  • NumPy
  • Feature Engineering
  • Model Deployment
  • Data Preprocessing
  • SQL
  • Docker
  • Kubernetes
  • Git
Secondary Skills
  • NLP (Natural Language Processing)
  • Computer Vision
  • MLOps
  • Apache Spark
  • MLflow
  • Airflow
  • Kafka
  • Azure ML
  • AWS SageMaker
  • Google Vertex AI
  • FastAPI
  • Flask
Preferred Qualifications
  • Experience with large-scale ML model deployment.
  • Knowledge of Generative AI and Large Language Models (LLMs).
  • Experience with vector databases such as Pinecone, Milvus, or FAISS.
  • Familiarity with prompt engineering and Retrieval-Augmented Generation (RAG).
  • Experience with Agile/Scrum methodologies.
Experience

3–6 Years

Employment Type

Full-Time

Work Location

Remote / Hybrid / On-site

Salary Range

$110,000 – $145,000 per year (Based on experience and location)