ZipRecruiter

Log In

1

Google Cloud Machine Learning Engineer Jobs in Remote, OR

Veeco Instruments, Inc.

Sr. Field Service Engineer

OR · On-site +1

We design, develop, manufacture, and service highly complex, cutting-edge machines used by our ... learning cycles, and performance validation. * Independently diagnose and resolve complex electro ...

Anytime AI

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 ...

Veeco Instruments, Inc.

Sr. Cybersecurity Engineer

OR · Remote

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 ...

Veeco Instruments, Inc.

Sr. Cybersecurity Engineer

OR · On-site +1

$121K - $153K/yr

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 ...

Charlie Health

Oregon Based Care Coach (Part-Time)

OR

$20/hr

Remain a resource during programming to maintain engagement throughout treatment. Qualifications ... Proficiency with cloud-based communication and software-Slack, Dropbox, Gmail, Zoom, Google Drive ...

Arista Networks

Economics Intern - Internal Audit

OR · On-site +1

We leverage the latest advancements in cloud computing, artificial intelligence, and software ... Our commitment to excellence has earned us several prestigious awards, such as Best Engineering ...

Avaya

SOC Analyst & Incident Response Lead

OR · On-site +1

Perform malware analysis, reverse engineering, and memory/disk analysis to support incident triage ... Passion for continuous learning and capability development The pay range for this opportunity is ...

Avaya

SOC Analyst & Incident Response Lead

OR · Hybrid

Perform malware analysis, reverse engineering, and memory/disk analysis to support incident triage ... Passion for continuous learning and capability development The pay range for this opportunity is ...

next page

Showing results 1-20

All JobsGoogle Cloud Machine Learning Engineer JobsGoogle Cloud Machine Learning Engineer Jobs in Remote, OR

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 Jul 2, 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 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 popular job titles related to Google Cloud Machine Learning Engineer jobs in Remote, OR? For Google Cloud Machine Learning Engineer jobs in Remote, OR, the most frequently searched job titles are:
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:
Google Cloud Machine Learning Engineer jobs near you
Infographic showing various Google Cloud Machine Learning Engineer job openings in Remote, OR as of June 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $130,673 per year, or $62.8 per hour.
Sr. Field Service Engineer

Sr. Field Service Engineer

Veeco Instruments, Inc.

OR • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 hours ago

Job description

About Veeco
You probably don't realize it, but what we do at Veeco touches the lives of every person, every day. It's a bold statement, but it's true. From the smartphones in our pockets that access the world's collective knowledge, to the cloud-based services where all that information lives, to high-speed wireless communication and computing power needed to drive artificial intelligence, augmented and virtual reality, gaming and so much more, our technology is all around us.
We design, develop, manufacture, and service highly complex, cutting-edge machines used by our customers to create the essential devices that drive the digital age, connect the world, and improve the human experience. Along with the world's leading technology companies, many of which are household names, we help solve their most difficult material science challenges, enabling technologies for a more connected, sustainable, and convenient world.
We're looking for material difference-makers to join our growing team. Interested? Learn more at www.veeco.com/careers.
Overview
At Veeco, Senior Field Service Engineers play a front-line role in shaping how next-generation semiconductor technology transitions from concept to reality.
We are seeking a Senior Field Service Engineer (Level 4) to support Ion Beam Deposition (IBD) systems during New Product Introduction (NPI) and customer evaluation tool (eval) deployments. This role is remote-based in the Boise, Idaho metropolitan area, with frequent, hands-on engagement at a key customer site where new tools are installed, evaluated, and refined.
This position is ideal for an experienced engineer who thrives in early-stage, high-visibility environments-where procedures are still evolving, customer feedback is immediate, and your technical judgment directly influences product readiness, tool adoption, and long-term success. You'll be closely embedded with customer engineering teams, supporting eval tools that help determine how Veeco's next-generation technology moves into volume manufacturing.
This is a rare opportunity to stay deeply technical while being embedded in early-stage technology deployment. You'll work directly on evaluation tools that shape customer adoption, influence final system design, and set the foundation for successful high-volume manufacturing-making your impact visible from day one.
This is a hybrid role, and the home office must be located in the Boise, Idaho metropolitan area, with frequent on-site support at our customer location in Boise, Idaho. Travel is expected up to 30%.
Responsibilities
  • Serve as the senior technical expert supporting NPI and evaluation tools deployed at a strategic customer site
  • Lead installation, commissioning, calibration, and qualification of new and evolving IBD systems
  • Provide hands-on support for eval tools, working side-by-side with customer engineers during process development, learning cycles, and performance validation.
  • Independently diagnose and resolve complex electro-mechanical, vacuum, electrical, pneumatic, robotic, and control system issues in a fast-changing NPI environment.
  • Act as the primary escalation point for early-life tool behavior, driving root cause analysis and corrective actions.
  • Capture real-world system performance data, issues, and operator feedback to support engineering improvements and design maturity.
  • Partner closely with internal Engineering, Technical Support, and Product teams to influence tool reliability, usability, and long-term serviceability.
  • Build trusted relationships with customer engineering and operations teams through daily collaboration and technical credibility.
  • Author clear, structured service reports, evaluation summaries, and technical recommendations that inform both customer and internal stakeholders.
  • Serve as a technical leader and informal mentor, sharing best practices and lessons learned from NPI and eval deployments.

Qualifications
  • Bachelor's degree in Engineering or a related technical discipline
  • Minimum 8 years of field service, complex electro-mechanical equipment support. Semiconductor manufacturing experience strongly preferred.

Knowledge, Skills, and Abilities
  • Demonstrated experience supporting new product introductions (NPI), prototype tools, or customer evaluation systems, including early tool life support and qualification activities
  • Deep, hands-on expertise with advanced semiconductor capital equipment, including a strong background in vacuum systems and complex electro-mechanical platforms
  • Advanced technical knowledge of electronics, mechanics, vacuum systems, pneumatics, robotics, motion control, and software-driven subsystems
  • Proven ability to independently troubleshoot, stabilize, and optimize complex systems in ambiguous, fast-changing early-stage environments
  • Strong system integration, testing, debugging, and structured root-cause problem-solving skills
  • Experience working in semiconductor fab environments, with strict adherence to cleanroom protocols and site-specific safety requirements
  • Strong sense of technical ownership and accountability, particularly during tool bring-up, evaluation, and customer qualification phases
  • Ability to balance customer urgency with disciplined troubleshooting and long-term reliability and performance considerations
  • Ability to produce clear, high-quality service documentation, evaluation feedback, and technical escalations that inform engineering and customer decisions
  • Strong customer focus, with sound judgment to prioritize issues based on NPI risk, tool maturity, and business impact
  • Effective written and verbal communication skills that translate complex technical behavior into actionable insights
  • Proficiency with Microsoft Office tools (Word, Excel, Outlook, PowerPoint)
  • Comfort working in a remote role while remaining closely aligned with global engineering and technical support teams
  • Willingness to support frequent on-site customer engagement in the Boise, Idaho metropolitan area

Salary and BenefitsThe expected salary range for this position is $89,705-$113,626, plus a bonus opportunity. We will consider your location, experience, and other job-related factors when determining your pay.
Other benefits include:
  • Medical, Dental, and Vision
  • Employee Stock Purchase Plan (ESPP)
  • 401(k) with Company Match
  • Holiday, Vacation, and Sick Time
  • Flexible Spending Accounts (FSA)
  • Commuter Benefits
  • Life and Accident Insurance
  • Disability Insurance
  • Tuition Reimbursement
  • Employee Assistance Program (EAP)
  • Identity Theft Remediation
  • Emergency Travel Assistance

Veeco is an equal opportunity employer. We evaluate applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information, and other legally protected characteristics. Veeco is committed to working with and providing reasonable accommodations to individuals with disabilities.

Apply