ZipRecruiter

Log In

1

Google Cloud Machine Learning Engineer Jobs in California

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

San Francisco, CA · On-site +1

$120K - $159K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Lead Machine Learning Engineer

San Jose, CA · On-site

$120K - $158K/yr

Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

Capital One

Sr. Lead Machine Learning Engineer

San Jose, CA · On-site +1

$120K - $158K/yr

Sr. Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE) , you'll be ... Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google ...

next page

Showing results 1-20

All JobsGoogle Cloud Machine Learning Engineer JobsGoogle Cloud Machine Learning Engineer Jobs in California

Google Cloud Machine Learning Engineer information

See California salary details

$23

$62

$86

How much do google cloud machine learning engineer jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for google cloud machine learning engineer in California is $62.06, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $70.67 per hour, depending on experience, location, and employer.

What are Google Cloud Machine Learning Engineers?

Google Cloud Machine Learning Engineers are professionals who design, build, and deploy machine learning models using Google Cloud Platform (GCP) services and tools. They work with large datasets, develop scalable ML solutions, and collaborate with data scientists and software engineers. Their role often includes automating data pipelines, optimizing model performance, and ensuring the reliability and security of ML deployments on the cloud. These engineers have expertise in both machine learning algorithms and cloud infrastructure, making them key contributors to data-driven projects.

What are the key skills and qualifications needed to thrive as a Google Cloud Machine Learning Engineer, and why are they important?

To thrive as a Google Cloud Machine Learning Engineer, you need strong programming skills in Python or Java, a deep understanding of machine learning algorithms, and a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, TensorFlow, and relevant certifications like the Professional Machine Learning Engineer certification is highly valuable. Excellent problem-solving abilities, collaboration, and clear communication make someone stand out in this position. These skills and qualities are critical for designing, deploying, and optimizing scalable ML solutions that meet business objectives in cloud environments.

What is the difference between Google Cloud Machine Learning Engineer vs Data Scientist?

AspectGoogle Cloud Machine Learning EngineerData Scientist
Required CredentialsGoogle Cloud certifications, programming skills, ML knowledgeStatistics, data analysis, programming, often with advanced degrees
Work EnvironmentCloud platforms, coding, deploying ML modelsData analysis, modeling, reporting, often in research or business settings
Employer & Industry UsageTech companies, cloud service providers, enterprises using Google CloudVarious industries including finance, healthcare, marketing, research

Google Cloud Machine Learning Engineers focus on developing and deploying ML models on Google Cloud, requiring cloud certifications and coding skills. Data Scientists analyze data, build models, and generate insights, often with advanced degrees. While both roles work with data and ML, the Engineer role emphasizes cloud deployment and infrastructure, whereas Data Scientists focus on data analysis and modeling.

What are some typical cross-functional collaborations for a Google Cloud Machine Learning Engineer?

As a Google Cloud Machine Learning Engineer, you'll frequently work alongside data scientists, software engineers, and product managers to design, deploy, and maintain machine learning solutions at scale. Collaboration often involves translating business requirements into machine learning pipelines, integrating models into cloud-based applications, and ensuring that solutions are robust, secure, and scalable. Regular communication with DevOps and infrastructure teams is also common to optimize model deployment and monitor performance. This cross-disciplinary teamwork is crucial for delivering impactful, production-ready AI solutions.
What are the most commonly searched types of Google Cloud Machine Learning Engineer jobs in California? The most popular types of Google Cloud Machine Learning Engineer jobs in California are:
What are popular job titles related to Google Cloud Machine Learning Engineer jobs in California? For Google Cloud Machine Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Google Cloud Machine Learning Engineer jobs in California look for? The top searched job categories for Google Cloud Machine Learning Engineer jobs in California are:
What cities in California are hiring for Google Cloud Machine Learning Engineer jobs? Cities in California with the most Google Cloud Machine Learning Engineer job openings:
Google Cloud Machine Learning Engineer jobs near you
Senior Machine Learning Engineer

Senior Machine Learning Engineer

Lorven Technologies

Mountain View, CA • On-site

$123K - $169K/yr

Full-time

Posted 6 days ago

Job description

We have a Senior Machine Learning Engineer role.
Below are the key details:
Main skill: Time Series, ML models training production experience, Vision Models - 2D/3D
Project duration: 12 months
Location: 3 days per week onsite in Mountain View, CA
Recruitment process: General Interview - Technical Interview (90 min) - Client interview 2 rounds
Required start date: Asap
Level: Senior/ Lead
Role Overview:
Looking for a Machine Learning Engineer to work on products related to seismic and well log data. The role will involve identifying simple geologic characteristics of the data (faults, horizons) and requires working knowledge of different subsurface data formats and types.
  • Strong experience in building and deploying machine learning models, especially in image processing and time series signal processing.
  • Proficiency with TensorFlow and PyTorch.
  • Hands-on experience with training and fine-tuning ML models for production.
  • Skilled in building and maintaining data pipelines for image and sensor data.
  • Familiarity with ML Ops tools and practices (model monitoring, versioning, and deployment).
  • Experience with data labeling tools.
  • Knowledge of cloud platforms, particularly Google Cloud Platform (GCP).
  • Time series and ML model training experience in production environments.
  • Expertise in Vision Models (2D/3D).
Lorven technologies logo

About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

Social media

FacebookTwitter

View All Lorven technologies Jobs

Apply