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Machine Learning Jobs in Remote, OR (NOW HIRING)

US Navy

Aviation Operations & Support

Sutherlin, OR

... learning, college network opportunities, and leadership development focused on technical skill ... Ability to work safely around aircraft, support equipment, and moving machinery in high noise and ...

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All JobsMachine Learning JobsMachine Learning Jobs in Remote, OR

Machine Learning information

See Remote, OR salary details

$25.5K

$42.5K

$87.9K

How much do machine learning jobs pay per year?

As of Jul 11, 2026, the average yearly pay for machine learning in Remote, OR is $42,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,500.00 and $46,000.00 per year, depending on experience, location, and employer.

What engineer makes $500,000 a year?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data modeling, and often working in high-paying industries such as finance or technology, can earn salaries of $500,000 or more annually. Achieving this level typically requires a strong educational background, specialized certifications, and a track record of impactful projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming with tools like Python and TensorFlow. Such roles usually demand extensive experience, a strong educational background, and sometimes leadership responsibilities in developing or deploying AI systems.

What is a Machine Learning job?

A Machine Learning job involves developing algorithms and models that enable computers to learn from data and make predictions or decisions without explicit programming. Professionals in this field work with large datasets, design and train machine learning models, and optimize them for performance and accuracy. Roles often require knowledge of programming languages like Python or R, experience with frameworks like TensorFlow or PyTorch, and an understanding of statistics and data science principles. Machine learning engineers and data scientists collaborate with software developers and domain experts to build AI-driven solutions for various industries.

What are some typical day-to-day responsibilities in a Machine Learning role?

As a machine learning professional, your daily tasks may include data preprocessing, developing and training models, evaluating performance metrics, and experimenting with algorithms to optimize results. You’ll often collaborate closely with data scientists, software engineers, and business stakeholders to align technical solutions with organizational goals. Regular activities can also involve deploying models to production, monitoring performance, and troubleshooting any issues that arise post-deployment. Staying up to date with recent ML research and participating in team discussions or code reviews are also common parts of the job.

What jobs can I get with machine learning?

With machine learning skills, you can pursue roles such as machine learning engineer, data scientist, AI researcher, or data analyst. These positions typically require knowledge of programming languages like Python or R, experience with machine learning frameworks, and strong analytical skills. They are found across industries including technology, finance, healthcare, and automotive sectors.

What are the key skills and qualifications needed to thrive in the Machine Learning position, and why are they important?

To thrive in Machine Learning, you need a solid background in mathematics, statistics, programming (especially Python or R), and a formal degree in computer science, data science, or a related field. Experience with popular ML frameworks (such as TensorFlow, PyTorch, or Scikit-learn), version control, and relevant certifications like AWS Certified Machine Learning are highly valued. Strong problem-solving skills, curiosity, clear communication, and the ability to work both independently and within multidisciplinary teams make candidates stand out. These skills and qualities are essential for developing robust models, staying updated with technology advancements, and collaborating effectively on complex projects.

Which 3 jobs will survive AI?

Machine Learning roles such as data scientists, AI specialists, and machine learning engineers are expected to persist as AI advances, due to their need for complex problem-solving, domain expertise, and ongoing model development. These jobs require advanced skills in programming, statistics, and understanding of AI tools, making them less susceptible to automation. Continuous learning and staying updated with new algorithms and frameworks are essential for these positions.
What are the most commonly searched types of Machine Learning jobs in Remote, OR? The most popular types of Machine Learning jobs in Remote, OR are:
What job categories do people searching Machine Learning jobs in Remote, OR look for? The top searched job categories for Machine Learning jobs in Remote, OR are:
What cities near Remote, OR are hiring for Machine Learning jobs? Cities near Remote, OR with the most Machine Learning job openings:
Machine Learning jobs near you
Infographic showing various Machine Learning job openings in Remote, OR as of July 2026, with employment types broken down into 1% As Needed, 74% Full Time, 23% Part Time, 1% Temporary, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $42,542 per year, or $20.5 per hour.
Sr. Field Service Engineer

Sr. Field Service Engineer

Veeco Instruments, Inc.

OR • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days 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 frontline role in shaping how nextgeneration 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 remotebased in the Boise, Idaho metropolitan area, with frequent, handson 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 earlystage, highvisibility environments-where procedures are still evolving, customer feedback is immediate, and your technical judgment directly influences product readiness, tool adoption, and longterm success. You'll be closely embedded with customer engineering teams, supporting eval tools that help determine how Veeco's nextgeneration technology moves into volume manufacturing.

This is a rare opportunity to stay deeply technical while being embedded in earlystage technology deployment. You'll work directly on evaluation tools that shape customer adoption, influence final system design, and set the foundation for successful highvolume 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 handson support for eval tools, working sidebyside with customer engineers during process development, learning cycles, and performance validation.
  • Independently diagnose and resolve complex electromechanical, vacuum, electrical, pneumatic, robotic, and control system issues in a fastchanging NPI environment.
  • Act as the primary escalation point for earlylife tool behavior, driving root cause analysis and corrective actions.
  • Capture realworld 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 longterm 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, handson expertise with advanced semiconductor capital equipment, including a strong background in vacuum systems and complex electromechanical platforms
  • Advanced technical knowledge of electronics, mechanics, vacuum systems, pneumatics, robotics, motion control, and softwaredriven subsystems
  • Proven ability to independently troubleshoot, stabilize, and optimize complex systems in ambiguous, fastchanging earlystage environments
  • Strong system integration, testing, debugging, and structured rootcause problemsolving skills
  • Experience working in semiconductor fab environments, with strict adherence to cleanroom protocols and sitespecific safety requirements
  • Strong sense of technical ownership and accountability, particularly during tool bringup, evaluation, and customer qualification phases
  • Ability to balance customer urgency with disciplined troubleshooting and longterm reliability and performance considerations
  • Ability to produce clear, highquality 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 onsite customer engagement in the Boise, Idaho metropolitan area


Salary and Benefits
The 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.

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