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Machine Learning Engineer Jobs in Spokane Valley, WA

General Engineer

Spokane, WA ยท On-site

$75K/yr

Engineering. To be acceptable, the program must: (1) lead to a bachelor's degree in a school of engineering with at least one program accredited by ABET; or (2) include differential and integral ...

General Engineer

Spokane, WA ยท On-site

$75K/yr

Engineering. To be acceptable, the program must: (1) lead to a bachelor's degree in a school of engineering with at least one program accredited by ABET; or (2) include differential and integral ...

Staff Power Engineer

Liberty Lake, WA ยท On-site

$36 - $53/hr

Engineering More about this job > Description Position Summary: Electrical Engineer who will design, develop, and implement electrical systems in industrial settings. Compensation: $36.00 - $53.00 ...

... learning program. Trains in andadheresto all health and safety policies and procedures. Work ... Learns PLCs and works with Automation Engineers in a laboratory environment.Learnsto perform work ...

Engineering More about this job > Description Position Summary: Electrical Engineer who will lead the design, development, and implementation of medium and low voltage electrical systems.

... learning program. Trains in andadheresto all health and safety policies and procedures. Work ... Learns PLCs and works with Automation Engineers in a laboratory environment.Learnsto perform work ...

Senior Engineer I-II

Spokane, WA ยท On-site

$100K - $151K/yr

CLASS SUMMARY Advanced-level engineering professionals serve as project managers and provide guidance and oversight to staff and consultants performing engineering design and construction management ...

Senior Engineer I-II

Spokane, WA ยท On-site

$100K - $151K/yr

Continuous CLASS SUMMARY Advanced-level engineering professionals serve as project managers and provide guidance and oversight to staff and consultants performing engineering design and construction ...

Lead, Engineer Line

Spokane, WA ยท On-site

$103.05 - $164.90/hr

The CMO Engineering Line Lead position provides leadership, manufacturing support and coordination of the engineering department for the CMO line specific projects. This position ensures that ...

Regional Lead - Rail Engineer

Spokane, WA ยท On-site +1

$140K - $200K/yr

Regional Lead - Rail Engineer Department: Transportation Employment Type: Full Time Location: Spokane, WA Compensation: $140,000 - $200,000 / year Description At Horrocks, we believe the best work ...

Data Engineer IV (Remote)

Spokane, WA ยท Remote

$117K - $140K/yr

Data Engineer IV Position Summary The Principal Data Engineer / Architect (Data Engineer IV) is a senior technical leader responsible for defining the enterprise-wide data architecture, platform ...

Senior Software Engineer

Spokane Valley, WA ยท On-site +1

$123K - $163K/yr

Mentor other engineers, contribute to technical reviews, knowledge sharing, and best practices, while partnering closely with product, operations, and cross-platform teams to align technical ...

Showing results 41-60

Machine Learning Engineer information

See Spokane Valley, WA salary details

$31.5K

$128.9K

$193.7K

How much do machine learning engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for machine learning engineer in Spokane Valley, WA is $128,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,600.00 and $155,200.00 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 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 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 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 are the most commonly searched types of Machine Learning Engineer jobs in Spokane Valley, WA?

The most popular types of Machine Learning Engineer jobs in Spokane Valley, WA are:

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

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

Infographic showing various Machine Learning Engineer job openings in Spokane Valley, WA as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $128,900 per year, or $62 per hour.

$75K/yr

Full-time

Posted 6 days ago


Job description

This position is located in the Department of Health and Human Services, National Institute for Occupational Safety and Health, headquartered in Atlanta, Georgia. The duty location for this position is Spokane, WA.
This vacancy is also being announced concurrently with vacancy announcement HHS-CDC-DE-26-13030233 under delegated examining procedures. Please review this announcement to see if you are eligible for consideration under competitive procedures.
Qualifications:WHAT WE ARE LOOKING FOR
Basic Qualifications:
A. Degree:
Engineering. To be acceptable, the program must: (1) lead to a bachelor's degree in a school of engineering with at least one program accredited by ABET; or (2) include differential and integral calculus and courses (more advanced than first-year physics and chemistry) in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics.
OR
B. Combination of education and experience:
college-level education, training, and/or technical experience that furnished (1) a thorough knowledge of the physical and mathematical sciences underlying engineering, and (2) a good understanding, both theoretical and practical, of the engineering sciences and techniques and their applications to one of the branches of engineering. The adequacy of such background must be demonstrated by one of the following:
1. Professional registration or licensure -- Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a Professional Engineer (PE) by any State, the District of Columbia, Guam, or Puerto Rico. Absent other means of qualifying under this standard, those applicants who achieved such registration by means other than written test (e.g., State grandfather or eminence provisions) are eligible only for positions that are within or closely related to the specialty field of their registration. For example, an applicant who attains registration through a State Board's eminence provision as a manufacturing engineer typically would be rated eligible only for manufacturing engineering positions.
2. Written Test -- Evidence of having successfully passed the Fundamentals of Engineering (FE)2 examination or any other written test required for professional registration by an engineering licensure board in the various States, the District of Columbia, Guam, and Puerto Rico.
3. Specified academic courses -- Successful completion of at least 60 semester hours of courses in the physical, mathematical, and engineering sciences and that included the courses specified in the basic requirements under paragraph A. The courses must be fully acceptable toward meeting the requirements of an engineering program as described in paragraph A.
4. Related curriculum -- Successful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a bachelor's degree in engineering, provided the applicant has had at least 1 year of professional engineering experience acquired under professional engineering supervision and guidance. Ordinarily there should be either an established plan of intensive training to develop professional engineering competence, or several years of prior professional engineering-type experience, e.g., in interdisciplinary positions. (The above examples of related curricula are not all inclusive.)
AND
Minimum Qualifications GS-11: You must have one year of specialized experience to perform successfully the duties of the position. To be creditable, specialized experience must have been equivalent to at least the GS-09 grade level in the Federal service performing ALL of the following:
  • Assisting with laboratory experiments and field studies to support engineering projects.
  • Applying engineering skills to collect, analyze, and interpret data.
  • Assisting in tracking project tasks, schedules, and documents to support project goals.
OR
  • Have a Ph.D. or equivalent doctoral degree or 3 years of progressively higher-level graduate education leading to a Ph.D. degree;

OR
  • Have a combination of education and experience that meets 100% of the requirements.

Minimum Qualifications GS-12: You must have one year of specialized experience to perform successfully the duties of the position. To be creditable, specialized experience must have been equivalent to at least the GS-11 grade level in the Federal service performing ALL of the following:
  • Applying engineering principles to support research focused on improving mine safety.
  • Conducting engineering and scientific investigations to identify factors contributing to mining injuries and fatalities.
  • Analyzing research findings and data to develop recommendations for reducing safety risks in mining operations.

Documenting experience: IN DESCRIBING YOUR EXPERIENCE, PLEASE BE CLEAR AND SPECIFIC. WE WILL NOT MAKE ASSUMPTIONS REGARDING YOUR EXPERIENCE. Qualifications are based on breadth/level of experience. In addition to describing duties performed, applicants must provide the exact dates of each period of employment (from MM/YY to MM/YY) and the number of hours worked per week if part time. As qualification determinations cannot be made when resumes do not include the required information, failure to provide this information may result in disqualification. Applicants are encouraged to use the USAJOBS Resume Builder to develop their federal resume.
Do not copy and paste the duties, specialized experience, or occupational application questionnaire from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position.
In accordance with Office of Personnel Management policy, federal employees are assumed to have gained experience by performing duties and responsibilities appropriate for their official series and grade level as described in their position description. Experience that would not normally be part of the employee's position is creditable, however, when documented by satisfactory evidence, such as a signed memorandum from the employee's supervisor or an SF-50 or SF-52 documenting an official detail or other official assignment. The documentation must indicate whether the duties were performed full time or, if part time, the "percentage of times" the other duties were performed. It is expected that this documentation is included in the employee's official personnel record. In order to receive credit for experience in your resume that is not within the official series and grade level of your official position, you must provide a copy of the appropriate documentation of such experience as indicated above.
Experience refers to paid and unpaid experience, including volunteer work done through national Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; community; student; social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to gain employment. You will receive credit for all qualifying experience, including volunteer experience. If such experience is on a part-time basis, you must provide the average number of hours worked per week as well as the beginning and ending dates of the experience so it can be fully credited.
OPM Qualification General Policies WebsiteEducation:Foreign Education: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit: http://www.ed.gov.
Employment Type: OTHER