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Remote Full Stack Machine Learning Engineer Jobs in Roseburg, OR

Senior Field Applications Engineer

OR ยท On-site +1

$85K - $120K/yr

... full capability. Qualifications Core Responsibilities * Own and execute post-sales product ... Deliver on-site and remote technical training sessions to customer process, equipment, and ...

Salesforce Engineer

OR ยท On-site +1

$52 - $69/hr

This is a FULLY REMOTE EXEMPT position. MUST BE U.S. CITIZEN/NON-DUAL CITIZENSHIP Duties and ... full enterprise Software Development Life Cycle (SDLC) delivery, including end-to-end planning ...

Sr. Data Analytics Engineer

OR ยท On-site +1

$107K - $128K/yr

Responsible for the full life cycle of development, from requirements gathering through data ... Up to 100% Remote; position may be performed from anywhere in the US + Up to 10% domestic and ...

Sr. Data Analytics Engineer

OR ยท Remote

$117K - $140K/yr

Responsible for the full life cycle of development, from requirements gathering through data ... Up to 100% Remote; position may be performed from anywhere in the US + Up to 10% domestic and ...

Senior Controls Engineer

OR ยท Remote

$99K - $131K/yr

We develop future technologies and support talents to deploy their skills and reach their full ... industrial machine control development and troubleshooting * You have strong leadership ...

Adobe CDP Engineer

OR ยท Remote

$105K - $176K/yr

Experience integrating Adobe stack with other enterprise platforms (Salesforce, DemandBase ... Benefits Bonus Structure #LI-Remote Requisition #: 342077 Background Screening If you are selected ...

Strong understanding of T&I processes, machinery operation, and production technologies. * Problem ... Remote WHAT YOU'LL DELIVER * Faster quality claim resolution (85% within 30 days) * Min. 20 field ...

This remote role, based in Ohio, Indiana, Michigan, or Illinois, focuses on technical sales ... Committed to ongoing learning and growth * Results-focused performance mindset Previous Experience

Lead Software Developer

OR ยท Remote

$105K - $141K/yr

Location This is a remote position open to candidates based anywhere in the U.S. The Main ... Experience with various development languages, Web stack including but not limited to: C#, Python ...

Be Seen First

PLM Configuration Specialist (Remote) About the Opportunity Our client is an established, global ... full benefits package, competitive wages, profit-sharing, education benefits, self-paced learning ...

Software Developer

OR ยท Remote

Remote Job Summary Sapiens is on the lookout for a Software Developer to become a key player in our ... This position will have demonstrated and verifiable experience with full lifecycle software ...

Software Developer

OR ยท On-site +1

Remote Job Summary Sapiens is on the lookout for a Software Developer to become a key player in our ... This position will have demonstrated and verifiable experience with full lifecycle software ...

Wyndham Hotels & Resorts is now seeking a Manager, Franchise Sales to join our team at the Remote ... Build relationships with owners, developers, brokers, and management companies, provide strategic ...

Work directly with OEM engineering teams to redesign rope systems to increase safety and ... Learning programs developed by our L&D department. * A great opportunity to play your part in an ...

Showing results 21-40

Remote Full Stack Machine Learning Engineer information

See Roseburg, OR salary details

$45.1K

$136.4K

$192.9K

How much do remote full stack machine learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote full stack machine learning engineer in Roseburg, OR is $136,445.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,400.00 and $160,000.00 per year, depending on experience, location, and employer.

What is a remote full stack machine learning engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote full stack machine learning engineer?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.

What are some common challenges faced by remote full stack machine learning engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

Senior Field Applications Engineer

INFICON

OR โ€ข On-site, Remote

$85K - $120K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago


Job description

Company Description
INFICON is a leading provider of innovative instrumentation, critical sensor technologies, and Smart Manufacturing/Industry 4.0 software solutions that enhance productivity and quality of tools, processes, and complete factories. These analysis, measurement and control products are essential for gas leak detection in air conditioning/refrigeration and automotive manufacturing. They are vital to equipment manufacturers and end-users in the complex fabrication of semiconductors and thin film coatings for optics, flat panel displays, solar cells and industrial vacuum coating applications. Other users of our vacuum-based processes include the life sciences, research, aerospace, packaging, heat treatment, laser cutting and many other industrial processes. We also leverage our expertise in vacuum technology to provide unique, toxic chemical analysis products for emergency response, security, and environmental health and safety.
Job Description
The Field Applications Engineer (FAE) is the core technical role of INFICON's Applications Engineering team, owning the complete post-sales technical lifecycle for assigned accounts. This role is responsible for product installation, fleet health, advanced troubleshooting, SOP authorship, and customer technical training. The FAE is the primary technical interface for process and equipment engineers at customer sites, providing the reliable technical foundation that enables INFICON's customers to run their processes at full capability.
Qualifications
Core Responsibilities
  • Own and execute post-sales product installations (NoaK and repeat), including fleet calibration and copy-exact matching across customer sites.
  • Perform advanced troubleshooting using structured problem-solving methodologies (8D, root cause analysis); resolve issues within scope or escalate with full documentation.
  • Configure and maintain FabGuard controllers and SmartFDC systems; support subfab tie-in and IT/network integration at customer facilities.
  • Author and maintain SOPs, BKMs, and technical training materials for assigned products and accounts.
  • Deliver on-site and remote technical training sessions to customer process, equipment, and operations teams.
  • Conduct data collection, analysis, and reporting to support customer process health reviews and performance discussions.
  • Manage customer ticket queues for assigned accounts; drive timely resolution and clear communication with customers.
  • Document all activities in CRM and ticketing systems to ensure accurate and current account records.
  • Support demo and FoaK activities as directed by Senior FAE or Lead Engineer.
  • Collaborate cross-functionally with IMS Applications, FabGuard Applications, and Service teams to resolve complex technical issues.

Required Qualifications
  • Bachelor's degree in Electrical Engineering, Mechanical Engineering, Chemical Engineering, Physics, or a related technical field.
  • 2-4 years of experience in field applications, systems integration, or technical support in the semiconductor or instrumentation industry.
  • Hands-on experience with hardware installation and configuration in a fab or industrial environment.
  • Working familiarity with data analysis tools (Excel, Python, or equivalent).
  • Ability to obtain semiconductor fab site access and comply with customer facility protocols.
  • Willingness and ability to travel domestically.

Preferred Qualifications
  • Experience with INFICON products (RGAs, leak detectors, vacuum gauges, FabGuard, SmartFDC).
  • Familiarity with semiconductor manufacturing processes (etch, deposition, EUV, PVD, CVD).
  • OPC/Modbus/SECS protocol knowledge.
  • FG (FabGuard) recipe setup or similar process monitoring software experience.

Key Competencies
  • Deep product and systems knowledge (hardware and software)
  • Structured troubleshooting and root cause analysis
  • Technical documentation discipline
  • Customer communication and service orientation
  • Project coordination and multitasking under pressure

Physical & Travel Requirements
Ability to lift up to 50 lbs. Ability to work in cleanroom environments. Frequent domestic travel required.
Additional Information
Annual Compensation Range: $85,000-$120,000
Your total compensation is structured for performance and growth, with clear earning potential beyond a base salary built on a base + sales incentive + profit sharing model where both the Sales Incentive Plan and Profit Sharing are each calculated as 10% of your total compensation, giving you greater upside as you succeed. Additional benefits include an 8% 401k match, potential car and remote allowances, and a comprehensive benefits package. Actual compensation will be determined based on experience, location, and other factors permitted by law.
This is a hybrid, field-based position. Employees will primarily work remotely while also traveling to customer sites as needed to support business objectives and build customer relationships
INFICON provides a dynamic work environment that promotes diversity, equity, and inclusion. Our employees experience ongoing green initiatives, flexible work hours, and a variety of health and wellness programs.
INFICON's forward-thinking approach offers countless opportunities to design, support, and manufacture a diverse product portfolio that expands globally. Our Lean and Agile work environment offers competitive compensation, relocation assistance, a discretionary bonus, and generous employee benefits; major medical, dental, health, vision, 401K, vacation and sick time, tuition reimbursement, and more!
INFICON is committed to ensuring that our online application process provides an equal opportunity to all job seekers that apply without regard to race, religion, ethnicity, national origin, citizenship, gender, age, protected veteran status, disability status, genetic information, sexual orientation, or any other protected characteristic. A notice describing Federal equal employment opportunity laws is available here to reaffirm this commitment. Any contact that would like to request a reasonable accommodation to participate in the application process should contact us.careers@inficon.com.
INFICON, Inc. strictly complies with all aspects of the Export Administration Regulations ('EAR'), including those sections dealing with deemed exports to foreign nationals.
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