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Senior Machine Learning Engineer Jobs in Monmouth, OR

We are looking for a talented and motivated Associate Software Engineer to join our development ... Knowledge of machine learning or artificial intelligence. Familiarity with game engines such as ...

We are looking for a talented and motivated Associate Software Engineer to join our development ... Knowledge of machine learning or artificial intelligence. * Familiarity with game engines such as ...

We are looking for a talented and motivated Associate Software Engineer to join our development ... machine learning or artificial intelligence. • Familiarity with game engines such as Unreal ...

We are looking for a talented and motivated Associate Software Engineer to join our development ... of machine learning or artificial intelligence. · Familiarity with game engines such as Unreal ...

The Client has the immediate need of a senior web software developer with expert SharePoint experience to effectively translate Early Learning Division (ELD) business requirements into updates to the ...

Showing results 21-40

Senior Machine Learning Engineer information

See Monmouth, OR salary details

$57.6K

$122.5K

$177.7K

How much do senior machine learning engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for senior machine learning engineer in Monmouth, OR is $122,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,200.00 and $139,000.00 per year, depending on experience, location, and employer.

What does a senior machine learning engineer do?

A Senior Machine Learning Engineer designs, develops, and implements machine learning models to solve complex problems. They are responsible for selecting appropriate algorithms, preprocessing data, and optimizing model performance. Additionally, they collaborate with data scientists, software engineers, and product teams to integrate machine learning solutions into production systems. Senior engineers also mentor junior team members and contribute to setting technical direction for machine learning projects.

What are some common challenges senior machine learning engineers face when deploying models to production, and how can they be addressed?

Senior Machine Learning Engineers often encounter challenges related to model scalability, maintaining performance in real-world scenarios, and ensuring reliable integration with existing systems. Addressing these challenges typically involves thorough testing, implementing robust monitoring for model drift, and collaborating closely with DevOps and software engineering teams to streamline deployment pipelines. Staying updated on best practices in MLOps and adopting tools for automated deployment and monitoring can greatly improve the reliability and efficiency of production models.

What are the key skills and qualifications needed to thrive as a senior machine learning engineer, and why are they important?

To thrive as a Senior Machine Learning Engineer, you need advanced knowledge of machine learning algorithms, statistical modeling, and programming languages like Python or Java, typically supported by a degree in computer science or a related field. Experience with frameworks and tools such as TensorFlow, PyTorch, scikit-learn, and cloud platforms, as well as familiarity with version control and CI/CD systems, is essential. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior team members. These capabilities are crucial for designing scalable ML solutions and driving impactful results within complex, dynamic projects.

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

AspectSenior Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience with ML frameworksBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops and deploys ML models in production systemsAnalyzes data, builds models, and provides insights
Industry UsageTech, finance, healthcare, e-commerceResearch, finance, marketing, tech

While both roles require strong technical skills and knowledge of machine learning, Senior Machine Learning Engineers focus more on deploying scalable ML solutions in production environments, whereas Data Scientists primarily analyze data and develop models for insights. The roles often overlap but differ in their core responsibilities and focus areas.

What job categories do people searching Senior Machine Learning Engineer jobs in Monmouth, OR look for?

The top searched job categories for Senior Machine Learning Engineer jobs in Monmouth, OR are:

What cities near Monmouth, OR are hiring for Senior Machine Learning Engineer jobs?

Cities near Monmouth, OR with the most Senior Machine Learning Engineer job openings:

Senior Software Controls Engineer

Andrews Cooper Technology LLC

Corvallis, OR • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Re-posted 2 days ago


Job description

SENIOR SOFTWARE CONTROLS ENGINEER
At Andrews Cooper, we specialize in delivering cutting-edge engineering solutions in the HardTech space, partnering with industry leaders in Consumer Technology, Medical Technology, Clean Technology, and Automation & Robotics. With a mission to solve novel, ambiguous challenges, we help our customers achieve significant differentiation and success in their industries. Our people-first culture is built on the core values of Own It, Help Each Other Win, and Be Cool, creating an environment where engineers can build fulfilling careers while delivering exceptional work.
The Core Values we embody:
  • Help Each Other Win—AC values winning as a team over personal recognition. Go out of your way to help a teammate and the team succeed.
  • Own It—Don’t wait for someone else to clear the way. Recognize opportunities to improve, and when obstacles arise, join forces to overcome them.
  • Be Cool—Be self-aware, maintain a positive attitude, prioritize emotional intelligence, and maintain composure under pressure.

If you’re passionate about solving complex engineering problems, collaborating with forward-thinking teams, and making an impact in the world of Hardware Technology, Andrews Cooper is the place for you.
BASIC QUALIFICATIONS:
  • B.S. in Software or Electrical Engineering from an accredited university or equivalent experience in a related field. MSEE is a plus.
  • 7+ years of professional hands-on experience in Software Controls Engineering.
  • Up to 20% of travel may be required between locations.
  • Ability to travel for work-related purposes as needed; access to reliable transportation is required due to the nature of our business and multiple client sites.
  • Must be legally authorized to work in the U.S. without sponsorship.
  • Background checks are required.

PREFERRED QUALIFICATIONS:
  • Experience programming industrial automation systems using PLCs, HMIs, and industrial software platforms.
  • Proficiency with several of the following:
    • PLCs: Rockwell (Allen-Bradley), Siemens, Beckhoff, B&R, Codesys
    • HMI/SCADA: Ignition, FactoryTalk View, WinCC, Maple Systems
    • Industrial Robotics: FANUC, ABB, Epson, Denso
    • Motion Control, Vision Systems, and Industrial Networking
  • Familiarity with Python, C/C++, C#, or similar programming languages.
  • Experience with Windows, Linux, and virtual machine environments (VMware, Hyper-V, VirtualBox).
  • Experience commissioning and troubleshooting automated equipment.

RESPONSIBILITIES:
  • Design, program, test, and commission PLC and HMI software for custom automation systems.
  • Integrate automation components including robots, motion systems, vision systems, sensors, and safety devices.
  • Troubleshoot and support machine startup, commissioning, and customer acceptance testing.
  • Develop technical documentation including control specifications and software documentation.
  • Collaborate with cross-functional engineering teams to deliver complete automation solutions.
  • Lead controls engineering efforts on complex projects.
  • Mentor engineers and provide technical direction.
  • Support proposal development, project planning, and customer technical discussions.

Why join the Andrews Cooper team? This is a full-time position with compensation, benefits, and work positives, including:
  • Medical, dental, life, and disability insurance; health savings accounts (HSA), flexible spending accounts (FSA), employee assistance programs (EAP), and dependent savings accounts (DSA).
  • Paid leave for maternity and paternity for birth or adoption.
  • Generous PTO for vacation, sick, community service, and 8 paid holidays.
  • In-office snacks, coffee, and sponsored lunches.
  • 401k retirement plan with 3% employer contribution.
  • Access to hands-on mentorship to advance professional skills and an educational reimbursement.
The salary range for this position is based on national rates. Exact compensation may vary based on skills, experience, and location. Base Salary: $110,000.00 - $170,000.00. Andrews Cooper is an equal-opportunity employer.
 

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