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Machine Learning Engineer Jobs in Boardman, OR (NOW HIRING)

The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

The System Engineer focuses on troubleshooting,maintaining, and stabilizing complex electro ... Applying next-gen technology, high-density storage and machine learning to solve today's complex ...

Engineers provide 24-hour response to machinery and system issues and oversee the operation, maintenance, and troubleshooting of all vessel equipment, including pumps, motors, engines, electrical and ...

Engineer III

Arlington, OR

$101.54K - $155K/yr

Job Summary This position requires an engineer with significant experience in the environmental and solid waste industry. The ideal candidate will possess superior problem solving and management ...

DC Infra Eng II - AMZ9971266

Umatilla, OR ยท On-site

$116.80K - $160K/yr

Interface with internal and external data center design engineering team, server hardware team, environmental health and safety team, field engineering, and controls engineering to promote standards ...

Machine Learning Engineer information

See Boardman, OR salary details

$30.8K

$125.9K

$189.2K

How much do machine learning engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for machine learning engineer in Boardman, OR is $125,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $151,600.00 per year, depending on experience, location, and employer.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

What jobs make $3,000 a month without a degree?

A Machine Learning Engineer typically requires a degree, but roles such as data annotator, technical support specialist, or freelance programmer can sometimes earn around $3,000 monthly without a formal degree, especially with relevant skills and experience. These jobs often involve self-taught skills, online certifications, or on-the-job training and may require proficiency in tools like Python or cloud platforms.

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

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Boardman, OR? The most popular types of Machine Learning Engineer jobs in Boardman, OR are:
What cities near Boardman, OR are hiring for Machine Learning Engineer jobs? Cities near Boardman, OR with the most Machine Learning Engineer job openings:
System Engineer

System Engineer

Symbotic

Hermiston, OR โ€ข On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

Who we are
With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system - reinventing warehouse automation for increased efficiency, speed and flexibility.
What we need
Symbotic is seeking a System Engineer to support the day-to-day reliability, availability, and performance of our automated warehouse systems in a live production environment. This role is hands-on and operational in nature, aligned closely with a Maintenance Engineer or Lead Automation Technician profile. The System Engineer focuses on troubleshooting, maintaining, and stabilizing complex electro-mechanical and automated systems to ensure safe, consistent system uptime. This role is not commissioning-focused, not controls-programming-heavy, and not customer-facing, but instead centered on system health, equipment reliability, and technical execution on site.
What we do
The System Engineer is part of the Customer Operations organization which is responsible for leading the day-to-day operations of Symbotic's robotic material handling system. The Customer Operations organization drives operational excellence by engaging and partnering with our onsite customers to drive best-in-class quality, safety and system performance.
What you'll do
  • Monitor and maintain the health of automated systems including conveyors, lifts, robotic vehicles, motors, sensors, and PLC-controlled equipment.

  • Perform advanced electrical, mechanical, and automation troubleshooting to resolve production-impacting issues.

  • Diagnose failures across PLCs (Allen-Bradley), VFDs, AC/DC motors, servo motors, sensors, and control hardware.

  • Support and execute preventive and corrective maintenance activities on automated equipment.

  • Utilize system data, alarms, logs, and dashboards to identify fault conditions and recurring issues.

  • Document maintenance activities, repairs, and findings using CMMS systems (e.g., Maximo) and internal tools.

  • Act as a senior technical escalation point during system disruptions or downtime events.

  • Partner with on-site maintenance, operations, and technical teams to restore and stabilize system performance.

  • Provide technical guidance and on-the-job support to maintenance technicians and operators.

  • Step in to support critical on-site technical functions as needed to maintain operational continuity.

  • Ensure compliance with OSHA, LOTO, electrical safety, and Symbotic safety standards.

What you'll need
  • Bachelor's degree in Electrical Engineering, Computer Science, Software Engineering, Automation Engineering, or a related field, or equivalent hands-on experience.

  • Minimum of 1 year of hands-on experience with PLCs, preferably Allen-Bradley, focused on diagnostics and troubleshooting (not heavy programming).

  • Minimum of 1 year of experience with VFDs, including diagnosing speed, torque, and drive-related issues.

  • Minimum of 1 year of experience working with AC and DC motors.

  • Hands-on experience with automated systems such as conveyor systems, conveyor belts, vertical lifts, and motor-driven equipment.

  • Experience supporting autonomous or semi-autonomous systems, including conveyors, lifts, AS/RS, robotics, servo motors, or 480V systems.

  • Working knowledge of SQL, Python, and Linux for diagnostics, log review, and system interaction.

  • Strong hands-on experience assembling, operating, maintaining, and troubleshooting robotics and electro-mechanical systems.

  • Prior experience in maintenance engineering, automation maintenance, or lead maintenance technician roles preferred.

Our Environment
  • Work is performed in an active industrial environment with high levels of automation.

  • Ability to work at heights of up to 45 feet and within confined spaces.

  • Ability to lift and/or move up to 50 pounds.

  • Exposure to varying temperatures and production conditions.

  • Must comply with all PPE, LOTO, fall protection, and electrical safety requirements.

  • Ability to work flexible hours, including off-shifts, as needed to support system uptime and recovery.

  • Valid driver's license required.

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About Symbotic
Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world's largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com.
We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That's why we're proud to be an equal opportunity employer.
We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.
The base range for this position in the posted location is $71,000.00 - $97,900.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.