ZipRecruiter

Log In

1

Google Cloud Machine Learning Engineer Jobs in Walnut, CA

Hadrian

Machine Learning Engineer

Los Angeles, CA · On-site

As a Senior Machine Learning Engineer, you will design, build, and scale advanced software systems ... using cloud infrastructure • Prior experience with visual document understanding and layout ...

Socket.dev

Machine Learning Engineer

Los Angeles, CA · On-site

$180 - $250/hr

Role Description Founding Data Scientist / Machine Learning Engineer We're looking for a highly ... Experience with PostgreSQL, APIs, and modern cloud architectures * Strong understanding of ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

... machine learning engineer * Expert knowledge in Python and an ML framework such as PyTorch or ... Familiarity with cloud-based infrastructure: Azure and/or AWS * Experience tracking projects with ...

Motorola

Machine Learning Engineer

Los Angeles, CA · On-site

$150K - $180K/yr

... machine learning engineer * Expert knowledge in Python and an ML framework such as PyTorch or ... Familiarity with cloud-based infrastructure: Azure and/or AWS * Experience tracking projects with ...

Hadrian Automation

Machine Learning Engineer

Torrance, CA · On-site

$160K - $300K/yr

As a Senior Machine Learning Engineer, you will play a key role in designing, building, and scaling ... Prior experience with distributed training using cloud infrastructure * Prior experience with ...

Yum Brands

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

Familiarity with cloud-based data platforms such as Snowflake, Redshift, or Athena. * Experience ... Machine Learning Engineering, MLOps, Software Engineering, or related technical roles. * Strong ...

Yum! Brands

Sr Machine Learning Engineer

Irvine, CA · On-site

$112K - $154K/yr

Familiarity with cloud-based data platforms such as Snowflake, Redshift, or Athena. * Experience ... Machine Learning Engineering, MLOps, Software Engineering, or related technical roles. * Strong ...

Deloitte

Cyber - Google Cloud Security - Manager

Inglewood, CA · On-site

$115K - $156K/yr

... machine learning security, container security, data protection, monitoring, and secure delivery ... Serving as the primary day-to-day client contact, driving outcomes across engineering, security ...

FieldAI

3D Machine Learning Engineer

Irvine, CA

$150K - $200K/yr

What You'll Do * Design and implement scalable machine learning pipelines for large-scale 3D ... Familiarity with OpenCV and PCL (Point Cloud Library) for classical computer vision and 3D data ...

next page

Showing results 1-20

All JobsGoogle Cloud Machine Learning Engineer JobsGoogle Cloud Machine Learning Engineer Jobs in Walnut, CA

Google Cloud Machine Learning Engineer information

See Walnut, CA salary details

$24

$64

$88

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

As of Sep 2, 2026, the average hourly pay for google cloud machine learning engineer in Walnut, CA is $64.08, according to ZipRecruiter salary data. Most workers in this role earn between $54.62 and $72.98 per hour, depending on experience, location, and employer.

What is a Google Cloud Machine Learning engineer?

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?

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 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 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 job categories do people searching Google Cloud Machine Learning Engineer jobs in Walnut, CA look for?

The top searched job categories for Google Cloud Machine Learning Engineer jobs in Walnut, CA are:

What cities near Walnut, CA are hiring for Google Cloud Machine Learning Engineer jobs?

Cities near Walnut, CA with the most Google Cloud Machine Learning Engineer job openings:

Google Cloud Machine Learning Engineer jobs near you

Machine Learning Engineer

jobs.frontdoordefense.com - Jobboard

Los Angeles, CA • On-site

$160 - $190/hr

Other

Posted 28 days ago

Job description

Machine Learning Engineer Lead end-to-end ML deployment for robotic sheet metal forming systems

Location: Los Angeles, California, United States

Compensation: $160,000 - 190,000 USD / year

Job Tags: Software

About The Role

We are looking for a Machine Learning Engineer to join our team and help us push the boundaries of what's possible in smart manufacturing. In this role, you will design, build, train, and deploy machine learning models that power our robotic sheet metal forming systems. You'll work closely with our engineering team to transform raw data into actionable intelligence, enabling our robots to produce parts with greater precision, speed, and adaptability.

This is a hands‑on role for someone who thrives at the intersection of research and production, someone who is just as comfortable wrangling messy datasets as they are architecting scalable ML pipelines. If you're passionate about applying machine learning to real-world manufacturing challenges, we'd love to hear from you.

Key Responsibilities
  • Design, build, train, evaluate, and deploy machine learning models to support and improve our robotic manufacturing processes.
  • Identify, collect, clean, and organize data from diverse sources to construct high-quality datasets for model training and evaluation.
  • Develop and maintain scalable ML pipelines and infrastructure using cloud platforms, with a focus on Azure.
  • Leverage Databricks and Apache Spark for large-scale data processing and model development.
  • Collaborate with cross‑functional teams, including robotics, software, and manufacturing engineers to integrate ML solutions into production workflows.
  • Stay current with the latest developments in machine learning and AI and evaluate their applicability to our manufacturing challenges.
  • Write clean, well‑documented, and production‑quality Python code.
  • Communicate findings, results, and recommendations to both technical and non‑technical stakeholders.
Required Background & Experience
  • Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field with 6+ years of hands‑on experience in machine learning and AI; or a Ph.D. in a relevant field with 3+ years of experience.
  • Strong experience designing, building, training, and testing machine learning models end‑to‑end.
  • Proven ability to work with raw, unstructured, or incomplete data, including data collection, cleaning, labeling, and dataset construction.
  • Proficiency in Python for ML development, data processing, and scripting.
  • Familiarity with cloud computing frameworks and services, with a preference for Microsoft Azure.
  • Experience with Databricks and Apache Spark for data engineering and model development.
Preferred Qualifications
  • Machine learning experience in CAD and computational geometry applications.
  • Experience working in the industrial or manufacturing space.
  • Experience with robotics, including robotic perception, control, or planning.

$160,000 - $190,000 a year The base salary range for this role is dependent on experience, qualifications, and overall alignment with the scope of the position. In addition to base compensation, Machina Labs offers a competitive benefits package and stock option participation.

Machina Labs is an affirmative action and equal employment opportunity employer and considers all applicants for employment without regard to race, color, religion, sex, gender identity, gender expression, sexual orientation, national origin, age, disability, or status as a protected veteran in accordance with state and federal law.

We endeavor to make the job application process accessible to any and all users. If you have a disability that impacts your ability to complete the job application process and would like to request assistance or a reasonable accommodation, please contact us at (888)444-9777. This contact information is for accommodation requests only, not to inquire about the status of applications.

#J-18808-Ljbffr

Apply