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Remote Google Machine Learning Engineer Jobs in Walnut, CA

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Senior Software Engineer, MLOps

Irvine, CA · On-site +1

$131K - $173K/yr

You will work closely with machine learning engineers, robotics engineers, and infrastructure teams ... Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option.

Staff Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

United States (Remote) Employment Type: Contract Role Overview As a Staff Data Engineer, you will ... Collaborate with Data Scientists, Machine Learning Engineers, and Software Engineers to ensure data ...

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Showing results 1-20

Remote Google Machine Learning Engineer information

See Walnut, CA salary details

$32.1K

$131.2K

$197.2K

How much do remote google machine learning engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote google machine learning engineer in Walnut, CA is $131,222.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,400.00 and $158,000.00 per year, depending on experience, location, and employer.

What is a Remote Google Machine Learning Engineer?

A Remote Google Machine Learning Engineer is a professional who designs, builds, and deploys machine learning models and artificial intelligence solutions, often using Google Cloud technologies, while working from a remote location. These engineers collaborate with cross-functional teams to solve complex business problems, optimize data pipelines, and improve model performance. Their responsibilities typically include data preprocessing, model selection, training, evaluation, and deployment, all while ensuring scalability and security. Working remotely allows them to contribute to projects from anywhere, leveraging cloud-based tools and collaboration platforms.

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

To thrive as a Remote Google Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning algorithms, typically supported by a relevant degree and experience in building scalable models. Proficiency with tools such as TensorFlow, Python, Google Cloud Platform (GCP), and familiarity with distributed systems is essential. Excellent problem-solving, communication, and self-management skills are crucial for effective remote collaboration and innovation. These capabilities enable engineers to deliver impactful machine learning solutions while seamlessly integrating with global Google teams.

How do Remote Google Machine Learning Engineers typically collaborate with cross-functional teams while working from different locations?

Remote Google Machine Learning Engineers often use a combination of video conferencing, cloud-based collaboration tools, and shared code repositories to work closely with data scientists, product managers, and software engineers. Regular stand-up meetings, sprint planning sessions, and detailed documentation help ensure everyone is aligned and project milestones are met. Despite being remote, engineers are encouraged to proactively communicate progress, share insights, and participate in code reviews to maintain a strong team dynamic and drive successful project outcomes.
What are popular job titles related to Remote Google Machine Learning Engineer jobs in Walnut, CA? For Remote Google Machine Learning Engineer jobs in Walnut, CA, the most frequently searched job titles are:
What cities near Walnut, CA are hiring for Remote Google Machine Learning Engineer jobs? Cities near Walnut, CA with the most Remote Google Machine Learning Engineer job openings:
Infographic showing various Remote Google Machine Learning Engineer job openings in Walnut, CA as of May 2026, with employment types broken down into 18% Internship, and 82% Full Time. Highlights an 100% Remote job distribution, with an average salary of $131,222 per year, or $63.1 per hour.
Senior Machine Learning Engineer

Senior Machine Learning Engineer

thatgamecompany

Los Angeles, CA • Remote

$120K - $205K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


Job description

Senior Machine Learning Engineer

Remote US & Canada

We are seeking a highly motivated and autonomous Senior Machine Learning Engineer to join our team. In this role, you will be a driving force behind our core ML models and underlying data and training pipelines. We are looking for a self-starter, someone who is internally driven, passionate about their craft, and capable of collaboratively identifying, prioritizing, and executing workflows with their peers and stakeholders. If you thrive in an environment where you are trusted to own your projects end-to-end and can seamlessly explain complex technical concepts to both technical and non-technical stakeholders, we want to hear from you.

We expect you to:

  • Have deep passion for video games and think on behalf of our players

  • Be curious, a problem solver and a self starter who is comfortable taking risks and proactively identifying and pursuing business needs. Know how and when to apply your knowledge, and be willing to share it with those around you

  • Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space

  • Be responsible for your domain of expertise on projects from inception to delivery and beyond

Required Skills

  • 5+ years of experience in Machine Learning, Data Engineering, or a related quantitative field, with a track record of delivering end-to-end ML products

  • Expert knowledge of statistical modeling and ML methods including Classical ML, Deep Learning, NLP, and Anomaly Detection, with the ability to select the right tools for the task

  • Demonstrated proficiency in experimental design, hypothesis testing, and evaluating model performance

  • Proven track record of building and deploying scalable ML solutions in production, ideally using Kubernetes and GCP

  • Strong proficiency in Python, Java, or Scala, with an emphasis on writing clean, maintainable, and production-ready code, alongside the ability to write highly optimized SQL for complex dataset construction

  • Mastery of optimized SQL and experience with big data processing frameworks (e.g., Spark, Beam) and modern data lakehouse formats (e.g., BigQuery, Snowflake, Iceberg, Parquet)

  • Exceptional ability to translate complex technical architectures and ML concepts for non-technical stakeholders

Preferred Experience

Any of the following would be highly preferred, but most of all, we value team players who are eager to learn and contribute:

• Experience with graph databases, collaborative filtering, or user vectorization

• Experience with large-scale sentiment analysis

• Experience with Typescript or Golang

• Experience with source control, CICD, Protobuf, or infrastructure as code

• Experience in the video game industry

• Experience in a small company with a startup feel

• Interest in technical writing and sharing your work

Perks:

• Paid Time Off, Holidays and Two Weeks Winter Break

• Employees and their dependents get medical, dental, and vision coverage, regardless of their level, tenure, or position within the company. Moreover, these benefits start on the first day of the job—there’s no waiting period before they kick in.

• Pet Insurance for those who need it too.

• Compassionate leave for employees who needs to take care of their family members

• Pre-tax wellness stipend

• Pre-tax work from home stipend

• Access our savings plan (401K program) with company match

• Mental health resources including Headspace membership and Employee Assistance Program (EAP)

• Discount portal for everyday goods and services

• Employee inclusive and diversity initiatives such as Grow Together

• Support for personal professional development

We look forward to meeting you!

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

The salary range for this position is $120,000 USD to $205,700 USD annually, with the opportunity to earn an annual discretionary bonus. This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Employees in this position are eligible to participate in the Company’s standard employee benefit programs, which currently include the following: medical, dental, vision, 401k, and paid time off.

Our base pay is benchmarked against regional market and industry data and is adjusted to reflect the cost of living in your specific geographic area.

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