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Machine Learning Engineer Jobs in Spokane, WA (NOW HIRING)

Successful candidate will be self-motivated, hard working and enjoy continuously learning new ... Machine Commissioning / International travel required * Machine PLC Programming - Ladder Logic ...

Guided by our values of safety in every step, personal accountability, one team and active learning ... Identify, scope, estimate and engineer 'break fix' projects to repair failed systems, machines and ...

Biostatistician

Spokane, WA · On-site

$4.5K - $6.0K/mo

Expertise with R statistical programming or related software. * Education or applied experience in ... Experience with cluster-randomized trials and machine learning. * Experience using large datasets ...

Biostatistician

Spokane, WA · On-site

$4.5K - $6.0K/mo

Expertise with R statistical programming or related software. * Education or applied experience in ... Experience with cluster-randomized trials and machine learning. * Experience using large datasets ...

Showing results 21-40

Machine Learning Engineer information

See Spokane, WA salary details

$31.9K

$130.2K

$195.7K

How much do machine learning engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for machine learning engineer in Spokane, WA is $130,201.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,600.00 and $156,700.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

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 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 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 job categories do people searching Machine Learning Engineer jobs in Spokane, WA look for?

The top searched job categories for Machine Learning Engineer jobs in Spokane, WA are:

What cities near Spokane, WA are hiring for Machine Learning Engineer jobs?

Cities near Spokane, WA with the most Machine Learning Engineer job openings:

Infographic showing various Machine Learning Engineer job openings in Spokane, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 23% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $130,201 per year, or $62.6 per hour.

Electrical Engineer - R&D

Spokane Valley, WA

Wagstaff Inc
Industrial Machinery Manufacturing • 201 - 500 employees

$80K - $115K/yr

Full-time

Retirement

Posted 14 days ago


Job description


Wagstaff
Description:

Wagstaff manufactures equipment for aluminum producers, who process formed aluminum into parts and products you use every day.


Description

A successful candidate for this role should have core electrical and electronics engineering knowledge and be capable of working in both hardware and software-related roles. Successful candidates will enjoy a challenging role with a wide variety of work responsibilities and many learning opportunities. Successful candidate will be self-motivated, hard working and enjoy continuously learning new skills. This rare and exciting R&D Electrical Engineering role includes a wide variety of work responsibilities in the following areas:


Core Electrical Engineering principles:

  • Power system design
  • Electronics design
  • Embedded systems design
  • Machine/Product R&D
  • Industrial equipment automation
  • Programming

Industrial Automation PLC and Scada control systems:

  • Machine Commissioning / International travel required
  • Machine PLC Programming – Ladder Logic software development
  • Scada and HMI software development
  • Automation systems hardware and software development 
  • Automation control system and control panel design
  • NEC compliant Industrial low voltage power distribution design

Embedded systems and electronics:

  • Analog and digital electronic circuits design 
  • PCB design and layout
  • C/C++/python firmware development for microcontroller based 


New product design:

  • Experiment design and setup
  • Innovative problem solving
  • Project management / Facilitate transition from R&D to Production
  • Project electrical lead 
  • Become technical expert
  • Follow product full lifecycle concept to production release


Schedule: Monday - Friday, 8:00 am - 4:30 pm

Pay: $80,000 - $115,000 salary *depending on experience

Travel Pay: Additional pay premium per each travel day

Sign-On Bonus: $5,000


Benefits

1200 Sqft onsite gym, accessible 24/hrs a day

8 paid non-working holidays

Monthly, site-wide BBQs

Up to 8% retirement contribution

Annual bonus program

Tuition Reimbursement

To review our full benefits summary, please visit https://www.wagstaff.com/Wagstaff/Careers.htm

Want to learn more about Wagstaff? Join us for a virtual tour! https://www.careerexplorenw.org/fieldtrip?tour=Wagstaff


Primary Job Responsibilities

  • Perform installation and commissioning of equipment in customer plants in coordination with the Automated Systems Group and Mechanical Engineering
  • Successfully complete job-specific training on various topics
  • Gain proficiency in and configure, troubleshoot, and commission, PLC, and SCADA automation software for various industrial machine controls including, Ladder Logic, Python, Factory Talk, Studio 5000, TIA Portal, SQL, Ge iFix, Ignition, C, C++
  • Design, install, commission, troubleshoot, and repair various, electrical control panels, process instruments, VFD’s, servos, pneumatic, and hydraulic systems for industrial automation equipment control systems.
  • Design, build and troubleshoot digital and analog electronic circuits and embedded systems
  • Gain detailed technical understanding of casting equipment and processes controls to become a support resource and subject matter expert
  • Provide Technical Service to customers in response to emergency calls or service requests in troubleshooting and repair
  • ·Provide training to customer personnel in PLC based automation system operation and maintenance in conjunction with commissioning or in response to independent requests or requirements
  • Participate in product development activities
  • Participate in research activities related to aluminum casting technologies
  • Assist in the preparation of PLC and SCADA packages for projects in coordination with Project Managers and other engineers involved in the commissioning process
  • Attend Engineering Design Review meetings at customer sites
  • Perform other duties as assigned
Requirements:
  • Bachelor of Science degree in Electrical Engineering

General Characteristics

  • Acquires basic knowledge and develops skills in a specific practice area
  • Applies prescribed and/or standard techniques and procedures in accordance with established criteria to perform assigned tasks
  • Exercises limited judgment on details of work and in application of standard methods for conventional work
  • Acquires an understanding of professional and ethical responsibilities

General Technical Responsibilities

  • Designs a complete project, system, component, or process of standard complexity
  • Performs standard computations or analysis
  • Prepares Drawings

Leadership Skills

  • Assign tasks to and coordinates with Designers. Coordinates with other departments as necessary

Direction Received

  • Receives close supervision on unusual or difficult problems, and general review of all aspects of work

Communication Skills

  • Academic oral and technical writing skills
  • Attends Customer project meetings and presents specific aspects of engineering assignments. May occasionally lead the meetings

Working Environment

While performing the duties of this job on Wagstaff premises, work is performed primarily in an adequately lit, well-ventilated, climate-controlled general office environment. Close computer work is regularly required. The work usually involves minimal physical exertion. The noise level in the general office environment is usually moderate.


This job may require occasional or more frequent interaction with employees on the manufacturing shop floor. While on the shop floor, the employee may be exposed to fumes, airborne particles, toxic or caustic chemicals, risks of moving equipment and parts, and other risks associated with a manufacturing environment. Because of this environment and associated risks, coordination with shop floor managers/employees may be necessary before entering the shop floor, and the use of job-appropriate personal protective equipment and clothing is required on the shop floor. The noise level on the shop floor is often loud.


This job may also require occasional or more frequent travel to and work at customer sites. While at customer sites, the employee may be exposed to fumes, airborne particles, toxic or caustic chemicals, risks of moving equipment and parts, and other risks associated with a construction and/or manufacturing environment. Because of this environment and associated risks, coordination with customer managers/employees may be necessary before entering the customer site, and the use of job-appropriate personal protective equipment and clothing is required at customer sites. The noise level at customer sites is often loud.


Employment at Wagstaff is dependent on successfully passing a company-paid drug screening and background check upon hire. Benefits eligibility is subject to the terms and conditions of the applicable policies, plans and programs of Wagstaff.


 U.S. Work Authorization is required; Sponsorships are not being offered for this position. 


Wagstaff is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.


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