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Google Cloud Machine Learning Engineer Jobs in Remote, OR

Infrastructure Engineer

OR · Remote

$100K - $200K/yr

Manage and optimize cloud-based infrastructure (e.g., AWS/GCP), utilizing tools like Docker and ... You are eager to keep up with the latest industry trends and committed to continuous learning and ...

We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises ... For someone motivated by ownership, continuous learning, and the opportunity to make a lasting ...

GTM Engineer

OR · On-site +1

More than 2,000 customers, including Google, Microsoft, Blackrock, T.Rowe Price, Adobe, Amazon ... More than 35% of cloud SaaS leaders and more than 20 of the Fortune 100 standardize on Responsive ...

More than 2,000 customers, including Google, Microsoft, Blackrock, T.Rowe Price, Adobe, Amazon ... More than 35% of cloud SaaS leaders and more than 20 of the Fortune 100 standardize on Responsive ...

Solution Consultant

OR · On-site +1

$125K - $155K/yr

More than 2,000 customers, including Google, Microsoft, Blackrock, T.Rowe Price, Adobe, Amazon ... More than 35% of cloud SaaS leaders and more than 20 of the Fortune 100 standardize on Responsive ...

Solution Consultant

Myrtle Point, OR · Remote

$125K - $155K/yr

More than 2,000 customers, including Google, Microsoft, Blackrock, T.Rowe Price, Adobe, Amazon ... More than 35% of cloud SaaS leaders and more than 20 of the Fortune 100 standardize on Responsive ...

Be Seen First

Coordinate fixes with developers or technical vendors. * Conduct regression testing following ... E-learning, marketplace, fintech/payment or subscription-platform experience advantageous. * Strong ...

New

Be Seen First

Coordinate fixes with developers or technical vendors. * Conduct regression testing following ... E-learning, marketplace, fintech/payment or subscription-platform experience advantageous. * Strong ...

New

Be Seen First

Coordinate fixes with developers or technical vendors. * Conduct regression testing following ... E-learning, marketplace, fintech/payment or subscription-platform experience advantageous. * Strong ...

New

Be Seen First

At least 10 separate conversations related to education, learning, academics, exam preparation ... Engineering * Literature * Journalism * Communications * Arts * Statistics * Education * Business

Head of AI

OR · Remote

Foster a culture of engineering rigor, responsible AI, collaboration, and continuous learning ... Cloud: AWS, Microsoft Azure, Google Cloud Platform * AI/ML: Agentic AI, Python, PyTorch/TensorFlow ...

Head of AI

OR · On-site +1

Foster a culture of engineering rigor, responsible AI, collaboration, and continuous learning. • ... Cloud: AWS, Microsoft Azure, Google Cloud Platform * AI/ML: Agentic AI, Python, PyTorch/TensorFlow ...

From the smartphones in our pockets that access the world's collective knowledge, to the cloud ... We design, develop, manufacture, and service highly complex, cutting-edge machines used by our ...

From the smartphones in our pockets that access the world's collective knowledge, to the cloud ... We design, develop, manufacture, and service highly complex, cutting-edge machines used by our ...

Showing results 21-39

Google Cloud Machine Learning Engineer information

See Remote, OR salary details

$23

$62

$87

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

As of Sep 6, 2026, the average hourly pay for google cloud machine learning engineer in Remote, OR is $62.82, according to ZipRecruiter salary data. Most workers in this role earn between $53.56 and $71.59 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 Remote, OR look for?

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

Infographic showing various Google Cloud Machine Learning Engineer job openings in Remote, OR as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $130,673 per year, or $62.8 per hour.

Manager Network Planning & Strategic Communications

Lumen Technologies

OR • Remote

Full-time

Medical, Life

Posted 6 days ago


Lumen Technologies rating

8.6

Company rating: 8.6 out of 10

Based on 107 frontline employees who took The Breakroom Quiz

12th of 101 rated telecommunications companies


Job description

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities.

At Lumen, you'll work on infrastructure customers rely on today and build for what's next, where performance, security, and resilience matter.

This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you're ready to take ownership, deliver meaningful impact, and help shape the future of AIready connectivity, join us today.

The Role

The Manager, Network Planning & Strategic Communications is a hybrid strategist and communicator within Network & Digital Platform Planning. This role leads a small, high-performing team while serving as the organization's primary voice for translating complex network planning initiatives into clear, compelling executive narratives. The ideal candidate is a strategic generalist-equally comfortable analyzing network headroom data, constructing a capital investment thesis for the VP/SVP audience, and architecting polished presentations that elevate critical programs and accomplishments across internal and external stakeholders.

This position blends deep data-analytic fluency with exceptional strategic communication skills-the ability to distill technical complexity into outcome-focused, audience-calibrated messaging that drives alignment and action at the senior leadership level.

The Main Responsibilities

Strategic Narrative Development Executive Communications

  • Own the development and continuous refinement of outward facing strategic messaging that elevates the teams' critical initiatives accomplishments and forward-looking investment priorities
  • Develop executive level presentations PowerPoint board decks SteerCo materials SLT status updates that synthesize complex strategies program milestones and business outcomes into structured persuasive content tailored for senior audiences
  • Partner with senior directors and VPs to shape organizational messaging for leadership forums cross functional reviews and customer facing engagements
  • Establish a cohesive communication framework that connects network planning activities to Lumens enterprise priorities AI backbone Lumen Digital network modernization ensuring strategic coherence across all touchpoints

Network Planning Strategic Generalist

  • Serve as a cross-domain planning generalist across IP transport metro and fiber infrastructure synthesizing inputs from specialized teams into unified strategic views
  • Monitor capacity trends headroom policies and network investment plans translate findings into data backed recommendations and actionable insights for leadership
  • Support capital budget planning and governance by developing clear justification narratives, variance analyses and investment prioritization summaries
  • Collaborate cross functionally with Product Architecture Engineering Finance Sales GCO and Operations to align priorities timing and investment decisions

Data Analytics AI Driven Insight

  • Leverage data analytics visualization tools and applied AIML techniques to identify trends model scenarios and generate insights that inform network strategy and executive decision making
  • Build and maintain dashboards, scorecards and automated reporting that improve transparency forecast accuracy and operational efficiency
  • Champion the adoption of AI enabled tools e.g. Copilot advanced analytics platforms to accelerate insight generation and reduce manual reporting burden
  • Ensure data integrity governance and linkage across planning systems and reporting outputs

Team Leadership

  • Lead mentor and develop a small team of analysts and planners to set clear goals, build accountability and foster a culture of curiosity, ownership and continuous improvement
  • Manage workload prioritization resource allocation and professional development for direct reports
  • Drive a team culture that values clarity of communication decisive action and proactive problem solving
What We Look For in a Candidate

Required Qualifications

  • Bachelor's degree in engineering, Computer Science, or a closely related technical field.
  • Demonstrated expertise or coursework in Artificial Intelligence, Machine Learning, or applied data science.
  • 6+ years of progressive experience in network planning, telecom strategy, data analytics, or a related discipline.
  • 2+ years of experience leading or mentoring a team (direct or matrixed).
  • Proven ability to develop executive-level content-transforming complex technical and financial data into structured, visually compelling presentations and written deliverables.
  • Exceptional strategic communication skills: ability to construct a coherent narrative arc that connects data, strategy, and business impact, calibrated for VP/SVP consumption.
  • Experience with data analytics and visualization tools (e.g., Power BI, Tableau, Python, SQL, Excel).
  • Solid understanding of capital budgeting, cost-savings initiatives, and financial governance processes.

Preferred Qualifications

  • Master's degree in business (MBA), Engineering, Computer Science, or Data Science.
  • Experience in telecom or digital infrastructure industries, particularly with IP, transport, or fiber network planning.
  • Familiarity with headroom management, capacity forecasting, and network investment lifecycle.
  • Knowledge of AI/ML applications in network operations-anomaly detection, predictive analytics, decision intelligence.
  • Experience with large-scale program reporting (e.g., MetRON, DCE, DTN-X, Rapid Routes, or similar transformation programs).
  • Proficiency with Microsoft 365 tools (PowerPoint, SharePoint, Teams, Copilot) and modern data platforms.
  • Comfort operating in ambiguity; ability to synthesize incomplete information into coherent strategic recommendations.

Key Skills Summary

  • Strategic Narrative Development & Executive-Level Content Creation
  • Audience-Calibrated Messaging & Persuasive Communication
  • Cross-Domain Network Planning (IP, Transport, Metro, Fiber)
  • Capacity Forecasting & Headroom Management
  • Capital Budget Planning, Governance & Variance Analysis
  • Data Analytics & Visualization (Power BI, Tableau, Python, SQL)
  • Applied AI/ML & Generative AI Fluency
  • Cross-Functional Stakeholder Engagement & Alignment
  • Executive Presentation Design & Delivery
  • Team Leadership, Mentoring & Performance Management
  • Financial Acumen & Investment Prioritization
  • Program Reporting & Operational Transparency
  • Strategic Synthesis in Ambiguous Environments
  • Microsoft 365 Ecosystem Proficiency (PowerPoint, SharePoint, Copilot)

Why This Role Matters

Network Planning is at the center of Lumen's transformation-enabling the AI backbone, scaling hyperscaler connectivity, and modernizing the nation's digital infrastructure. This role ensures that the strategic value of that work is articulated, amplified, and leveraged at every level of the organization. If you can turn a capacity forecast into a boardroom-ready investment thesis and lead a team that makes complexity look effortless, we want to hear from you.

Compensation
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges
$105,786 - $141,047 in these states: AL  AR  AZ  FL  GA  IA  ID  IN  KS  KY  LA  ME  MO  MS  MT  ND  NE  NM  OH  OK  PA  SC  SD  TN  UT  VT  WI  WV  WY 
$111,074 - $148,099 in these states: CO  HI  MI  MN  NC  NH  NV  OR  RI 
$116,364 - $155,152 in these states: AK  CA  CT  DC  DE  IL  MA  MD  NJ  NY  TX  VA  WA 
Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.

Learn more about Lumen's:

  • Benefits
  • Bonus Structure

#LI-Remote

Requisition #: 342444

Life at Lumen

Life at Lumen is human and connected, even in a fast moving, AIfocused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes. 

Our Lumen 8 behaviors guide how we interact, make decisions, and work together, shaping a culture built to perform and win.  

To learn more about Life at Lumen and how we live the Lumen 8, please visit:  
https://jobs.lumen.com/global/en/life-at-lumen

Background Screening

If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Equal Employment Opportunities

We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

Privacy Notice

Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Applicant Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data.

To review Lumen's Global Employment Applicant and Talent Community Privacy Notice, please visit:
https://jobs.lumen.com/global/en/privacy-notice

Disclaimer

The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.


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About Lumen Technologies

Sourced by ZipRecruiter

Lumen Technologies, headquartered in Monroe, LA, US, is a leader in the telecommunications industry. The company provides an array of solutions ranging from voice, broadband, and video services for consumers, businesses, and governmental agencies. Additionally, they offer data management, cloud, network, and IT services for enterprise customers. Lumen Technologies was founded in 1930, originally as the Louisiana Long Distance Independent Telephone Company. The company’s mission is to further human progress through technology, promoting a robust digital ecosystem, which is reflective of their core values of trust, respect, and innovative problem-solving that aims to have a significant impact on their clients' businesses.

Industry

Media and telecom

Company size

10,000+ Employees

Headquarters location

Monroe, LA, US

Year founded

1968

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