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Remote Google Cloud Machine Learning Engineer Jobs in Bellevue, WA

AI/ML Engineer - Remote

Seattle, WA ยท Remote

$200 - $350/hr

... and cloud AI platforms to develop production-grade machine learning applications. Key ... Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ...

AI/ML Engineer - Remote

Seattle, WA ยท Remote

$200 - $350/hr

... and cloud AI platforms to develop production-grade machine learning applications. Key ... Deploy AI solutions across secure cloud environments such as AWS GovCloud, Google GovCloud, Azure ...

AI Engineer - Machine Learning 3

Redmond, WA ยท Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title: Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills ...

Showing results 21-40

Remote Google Cloud Machine Learning Engineer information

See Bellevue, WA salary details

$26

$70

$98

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

As of Sep 7, 2026, the average hourly pay for remote google cloud machine learning engineer in Bellevue, WA is $70.97, according to ZipRecruiter salary data. Most workers in this role earn between $60.48 and $80.87 per hour, depending on experience, location, and employer.

What does a remote Google Cloud machine learning engineer do?

A Remote Google Cloud Machine Learning Engineer designs, develops, and deploys machine learning models on Google Cloud Platform (GCP) from a remote location. They work with cloud-based tools and services such as TensorFlow, Vertex AI, BigQuery, and Dataflow to build scalable, production-ready ML solutions. Their responsibilities also include data preprocessing, model training and evaluation, and integrating ML solutions with other cloud services. Collaboration with data scientists, software engineers, and stakeholders is a key part of the role, ensuring that ML solutions meet business goals while leveraging the full capabilities of Google Cloud.

How does a remote Google Cloud machine learning engineer typically collaborate with cross-functional teams?

As a Remote Google Cloud Machine Learning Engineer, collaboration often happens through virtual meetings, shared documentation, and cloud-based development environments. You'll regularly interact with data scientists, software developers, and product managers to align machine learning solutions with business objectives. Clear communication and proactive updates are essential, as you may work across time zones and need to coordinate on project requirements, data pipelines, and model deployment strategies. Tools such as Google Meet, Slack, and shared code repositories like Git are commonly used to facilitate seamless teamwork.

What are the key skills and qualifications needed to thrive as a remote Google Cloud machine learning engineer, and why are they important?

To thrive as a Remote Google Cloud Machine Learning Engineer, you need expertise in machine learning algorithms, data analysis, and proficiency in programming languages like Python, along with a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services such as Vertex AI, BigQuery, and TensorFlow, as well as relevant certifications like Google Professional Machine Learning Engineer, is highly valued. Strong problem-solving skills, self-motivation, and effective remote communication set top performers apart in this role. These competencies are critical for building scalable ML solutions, collaborating remotely, and delivering impactful results using cloud technologies.

What is the difference between Remote Google Cloud Machine Learning Engineer vs Remote AWS Machine Learning Engineer?

AspectRemote Google Cloud Machine Learning EngineerRemote AWS Machine Learning Engineer
Required CredentialsGoogle Cloud certifications, Python, ML frameworksAWS certifications, Python, ML frameworks
Work EnvironmentGoogle Cloud Platform, GCP toolsAWS Cloud, AWS tools
Industry UsageTech, finance, healthcare using GCPTech, retail, finance using AWS
Search & Comparison IntentHigh overlap in cloud-based ML rolesSimilar roles in cloud ML, different platform

Both roles involve developing machine learning models in cloud environments, requiring cloud platform certifications and expertise in Python and ML frameworks. The main difference lies in the cloud platform used: Google Cloud vs AWS. Candidates should choose based on their platform familiarity and employer requirements.

Infographic showing various Remote Google Cloud Machine Learning Engineer job openings in Bellevue, WA as of June 2026, with employment types broken down into 93% Full Time, 3% Part Time, 3% Contract, and 1% Nights. Highlights an 42% Physical, 2% Hybrid, and 56% Remote job distribution, with an average salary of $147,628 per year, or $71 per hour.

Agentic AI, Principal Machine Learning Engineer

Zillow Group, Inc.

Seattle, WA โ€ข On-site, Remote

$194K - $310K/yr

Full-time

Posted 8 days ago


Job description

About the team
The Agentic AI team at Zillow is at the forefront of transforming the real estate industry by helping millions of people use AI assistants to find their next home. We aim to redefine the home shopping and transaction experience by providing an always-on assistant that integrates personalized user insights with Zillow's knowledge. This lean, customer-focused team of engineers independently ships features and has the autonomy to move fast and make decisions.
About the role
As a Principal Machine Learning Engineer on the Agentic Artificial Intelligence team, you will get to:
  • Develop large-scale, fault-tolerant multimodal agentic experiences that reach millions of customers
  • Design and develop multiple agent interaction modes, including Voice AI and Deep Research.
  • Pioneer robust evaluation frameworks, tracing systems, and safety guardrails to ensure our highly-visible AI agents remain trustworthy and responsible
  • Remain on the cutting edge of emerging agentic paradigms and convert them into tangible product innovation
  • Lead complex, multi-team initiatives, bridging the gap between applied research and highly scalable engineering
  • Distill complex research findings and AI system architectures into actionable insights for a diverse audience, including executives and cross-functional partner teams

This role has been categorized as a Remote position. "Remote" employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.
In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $204,400.00 - $326,600.00 annually. This base pay range is specific to these locations and may not be applicable to other locations.In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $194,200.00 - $310,200.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.
In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.
Who you are
As a Principal Machine Learning Engineer, you are a roll-up-the-sleeves and get-it-done technical leader who can marry state-of-the-art technology with large-scale engineering. We are looking for someone who has:
  • A master's degree or above, or equivalent experience in Computer Science, Electrical Engineering, or a related field, with emphasis on building products using frontier multimodal LLMs
  • 5+ years of experience with a proven track record of deploying large-scale ML models, with the most recent 2-3 years building agent-based systems, multi-agent collaboration, or similar paradigms
  • Experience developing engaging dialogue systems capable of long conversations, context-aware tool selection, and compliant response generation
  • Experience building AI services capable of handling hundreds of millions of daily interactions with high availability, low latency, and robust fault tolerance
  • Familiarity with various agentic AI frameworks, such as LangGraph, Agents SDK, AutoGen, and production ML infrastructure
  • A track record of writing articles, patents, and publishing high-impact research is a strong plus
  • Strong communication skills, with the ability to influence technical direction across teams and present to executive leadership

Get to know us
At Zillow, we're reimagining how people move-through the real estate market and through their careers. As the most-visited real estate platform in the U.S., we help people navigate buying, selling, financing and renting with greater ease and confidence. Whether you're working in tech, sales, operations, or design, you'll be part of a company reshaping an industry and helping more people make home a reality.
How we work is a key part of that transformation. Through Cloud HQ, our strategic approach to distributed work, most employees have the flexibility to work from wherever they're most productive-enabling us to move fast, stay connected and deliver on our people promise.
Zillow is honored to be recognized among the best workplaces in the U.S. Zillow was named one of FORTUNE 100 Best Companies to Work Forยฎ in 2026, and included on TIME's America's Best Companies 2026 list, reflecting our commitment to creating an innovative, inclusive, and engaging culture where employees are empowered to grow.
No matter where you sit in the organization, your work will help drive innovation, support our customers, and move the industry-and your career-forward, together.
Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.