1

Deep Learning Jobs in Remote, OR (NOW HIRING)

... learning cycles, and performance validation. * Independently diagnose and resolve complex electro ... Deep, hands-on expertise with advanced semiconductor capital equipment, including a strong ...

Infrastructure Engineer

OR ยท Remote

$100K - $200K/yr

Deep understanding of Web Service architecture, with exceptional skills in system tuning ... You are eager to keep up with the latest industry trends and committed to continuous learning and ...

... learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable ...

We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex ... At Syniti you will find a supportive environment and access to learning tools, but micromanagement ...

... learning opportunities! Whether you are here for your first job or your last, from groceries to ... Our vision is to be a retail leader admired for national strength with deep local roots, offering ...

... learning opportunities! Whether you are here for your first job or your last, from groceries to ... Our vision is to be a retail leader admired for national strength with deep local roots, offering ...

... learning & growth opportunities! If you have smiles to share, we'd love to have you on our team ... Our vision is to be a retail leader admired for national strength with deep local roots, offering ...

... learning opportunities! Whether you are here for your first job or your last, from groceries to ... Our vision is to be a retail leader admired for national strength with deep local roots, offering ...

... learning opportunities! Whether you are here for your first job or your last, from groceries to ... Our vision is to be a retail leader admired for national strength with deep local roots, offering ...

... learning opportunities! Whether you are here for your first job or your last, from groceries to ... Our vision is to be a retail leader admired for national strength with deep local roots, offering ...

... learning & growth opportunities! If you have smiles to share, we'd love to have you on our team ... Our vision is to be a retail leader admired for national strength with deep local roots, offering ...

... learning opportunities! Whether you are here for your first job or your last, from groceries to ... Our vision is to be a retail leader admired for national strength with deep local roots, offering ...

Bakery Clerk

Coos Bay, OR ยท On-site

$13.25 - $15.25/hr

Openness to learning new techniques and adapting to evolving bakery processes. Genuine interest in ... Our vision is to be a retail leader admired for national strength with deep local roots, offering ...

... learning opportunities! Whether you are here for your first job or your last, from groceries to ... Our vision is to be a retail leader admired for national strength with deep local roots, offering ...

... learning opportunities! Whether you are here for your first job or your last, from groceries to ... Our vision is to be a retail leader admired for national strength with deep local roots, offering ...

... learning & growth opportunities! If you have smiles to share, we'd love to have you on our team ... Our vision is to be a retail leader admired for national strength with deep local roots, offering ...

... learning & growth opportunities! If you have smiles to share, we'd love to have you on our team ... Our vision is to be a retail leader admired for national strength with deep local roots, offering ...

next page

Showing results 1-20

Deep Learning information

See Remote, OR salary details

$11K

$83.8K

$139.9K

How much do deep learning jobs pay per year?

As of Jun 19, 2026, the average yearly pay for deep learning in Remote, OR is $83,803.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,900.00 and $138,900.00 per year, depending on experience, location, and employer.

What jobs use deep learning?

Jobs that use deep learning include roles such as deep learning engineer, machine learning engineer, data scientist, AI researcher, and computer vision engineer. These positions typically require skills in programming languages like Python, experience with frameworks such as TensorFlow or PyTorch, and a strong understanding of neural networks and data analysis.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer, AI research director, or chief AI officer, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and expertise in tools like TensorFlow or PyTorch, with compensation reflecting experience, impact, and industry demand.

What are the typical daily responsibilities of a Deep Learning professional?

As a Deep Learning professional, your day-to-day tasks often include designing and training neural network models, preprocessing and analyzing large datasets, and evaluating model performance using various metrics. You may also participate in research activities, document your results, and collaborate with data scientists, engineers, or product teams to deploy machine learning solutions. Regular meetings for project updates, code reviews, and brainstorming sessions are common, as is staying updated on advances in the field. This dynamic environment offers both individual and team-based work, providing continuous learning and the opportunity to solve complex, real-world problems.

What is a Deep Learning job?

A Deep Learning job involves designing, developing, and optimizing neural networks to solve complex problems such as image recognition, natural language processing, and autonomous systems. Professionals in this field work with large datasets, neural network architectures, and frameworks like TensorFlow or PyTorch. They collaborate with data scientists, engineers, and researchers to improve model accuracy and efficiency. Deep Learning roles typically require strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration.

What engineers make $500,000?

Senior deep learning engineers with extensive experience, advanced skills in neural networks, and expertise in frameworks like TensorFlow or PyTorch can earn $500,000 or more annually, especially in high-cost-of-living areas or within top tech companies. Achieving this level often requires a strong educational background, specialized certifications, and a track record of impactful projects.

What job makes $10,000 a month without a degree?

In the field of deep learning, roles such as freelance AI consultant or specialized machine learning engineer can potentially earn $10,000 or more per month through project-based work or high-demand expertise. Success typically requires strong skills in programming, neural networks, and experience with tools like TensorFlow or PyTorch, often gained through self-study or online courses rather than formal degrees.

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

To thrive in Deep Learning, you need a solid understanding of machine learning theory, neural networks, mathematics (especially linear algebra and probability), and programming skills, typically backed by a degree in computer science, mathematics, or a related field. Familiarity with frameworks such as TensorFlow or PyTorch, experience with data preprocessing, and optionally industry-recognized certifications are advantageous. Strong analytical thinking, problem-solving skills, and the ability to communicate findings clearly are crucial soft skills. These abilities enable the design, implementation, and optimization of effective deep learning solutions in real-world applications.

What are the most commonly searched types of Deep Learning jobs in Remote, OR? The most popular types of Deep Learning jobs in Remote, OR are:
What job categories do people searching Deep Learning jobs in Remote, OR look for? The top searched job categories for Deep Learning jobs in Remote, OR are:
Infographic showing various Deep Learning job openings in Remote, OR as of June 2026, with employment types broken down into 60% Full Time, 37% Part Time, 1% Temporary, and 2% Contract. Highlights an 69% Physical, 3% Hybrid, and 28% Remote job distribution, with an average salary of $83,803 per year, or $40.3 per hour.
Sr. Field Service Engineer

Sr. Field Service Engineer

Veeco Instruments, Inc.

OR โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 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 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.