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Machine Learning Engineer Jobs in Spokane Valley, WA

Commerce Architects

Senior Software Engineer

Spokane, WA · On-site

$120K - $180K/yr

... Our Learning Environment We believe in: Developing technical leadership and strategic thinking ... Senior Software Engineering positions offer premium compensation that reflects the exceptional ...

OpenEye

Senior Software Engineer

Liberty Lake, WA · Hybrid

$120K - $158K/yr

Job Summary As a Senior Software Engineer, you will be responsible for the development and ... learning and progressing with evolving technology. In this role, you will join a creative team ...

OpenEye

Senior Software Engineer

Liberty Lake, WA · On-site

$120K - $158K/yr

Job Summary As a Senior Software Engineer, you will be responsible for the development and ... learning and progressing with evolving technology. In this role, you will join a creative team ...

Itron, Inc

Senior Software Engineer

Liberty Lake, WA · On-site

$120K - $158K/yr

About the PositionItron is seeking a passionate and experienced Senior Software Engineer to join ... Passion for mentoring others and fostering a culture of learning, agility, collaboration, and ...

Itron, Inc.

Senior Software Engineer

Liberty Lake, WA · On-site

$123K - $162K/yr

About the PositionItron is seeking a passionate and experienced Senior Software Engineer to join ... Passion for mentoring others and fostering a culture of learning, agility, collaboration, and ...

H2E Inc.

Staff Power Engineer

Liberty Lake, WA · 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 ...

H2E Inc.

Senior Power Engineer

Liberty Lake, WA · On-site

$100K - $139K/yr

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.

JLL

Mechatronics and Robotics Apprentice

Spokane, WA

... 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 ...

City of Spokane

Senior Engineer I-II

Spokane, WA · 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 ...

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Showing results 41-60

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Spokane Valley, WA

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 6, 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.

More about Machine Learning Engineer jobs
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:
Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Spokane Valley, WA as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $128,900 per year, or $62 per hour.

Senior Software Engineer

Commerce Architects

Spokane, WA • On-site

$120K - $180K/yr

Full-time

Re-posted 6 days ago

Job description

We’re looking for experienced engineers who are ready to drive technical initiatives, mentor team members, and deliver enterprise-level solutions. At Commerce Architects, we’ve spent over 16 years building complex systems for industry-leading companies, and we’re looking for senior engineers who can shape architecture, accelerate project delivery, and grow as trusted advisors to our clients.
 
Note: We're building our Talent Community for future opportunities at two levels: Senior Software Engineer I (SSE1) and Senior Software Engineer II (SSE2). Final placement will be determined during the interview process based on skills, experience, and leadership scope.
 
About the Role
As a Senior Software Engineer, you’ll take ownership of large functional areas within client projects, lead feature design and implementation, and mentor engineers at varying levels. You’ll collaborate directly with clients, guide architectural decisions, and help establish engineering best practices. This is a full-time position requiring ~40 hours per week, with flexibility to accommodate occasional additional hours during busy periods.
 
Depending on your experience and level placement (SSE1 or SSE2), your responsibilities may include:
 
- Leading the design, estimating, and delivery of complex features
- Driving architectural strategy and shaping technical direction
- Mentoring and developing junior and mid-level engineers
- Leading major project work streams and breaking down large initiatives into actionable components
- Serving as a trusted technical advisor to clients, including executives and senior stakeholders
-Helping establish best practices and contributing to company-wide technical growth
 
Growth Path
At either level, you’ll gain the leadership expertise to guide distributed teams, the technical vision to influence enterprise systems, and the business acumen to align technical decisions with client goals.
 
Within 18–36 months, you’ll be on track to:
- Become a go-to expert in specialized areas, own production monitoring for critical systems, and grow as a technical strategist.
- Own complete project work streams, evaluate industry trends, and develop executive-level consulting and advisory skills.
 
What You’ll Need
Successful candidates will bring most of the following:
- 4–7 years of professional software development experience, with increasing levels of technical leadership
- Strong experience designing and delivering large-scale features and components
- Advanced knowledge of object-oriented programming and design patterns
-Proficiency with both SQL and NoSQL databases, including performance optimization
- Hands-on experience with CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, AWS CDK, etc.)
- Ability to decompose complex problems, delegate effectively, and drive solutions to completion
- Strong communication skills with technical and non-technical stakeholders
- Proven experience mentoring and supporting the growth of other engineers
- Consulting or client-facing technical experience (especially valuable at higher levels)
- Must be legally authorized to work in the U.S. on a full-time basis without requiring sponsorship now or in the future
 
A Typical Day
Your day might include:
- Leading a stand-up and unblocking teammates
- Designing and implementing a key system integration or microservice
- Coordinating with DevOps to improve CI/CD pipelines and cloud infrastructure
- Reviewing pull requests and mentoring junior developers
- Translating technical tradeoffs for clients in a way that informs business decisions
- Documenting architectural decisions to share knowledge with the broader team
- Taking a break for a foosball match or Nintendo Switch game in our office game room
 
What Sets Us Apart
While other companies may offer higher salaries or a narrow technical scope, at Commerce Architects, you’ll gain:
 
Autonomy to own technical delivery of large systems or projects
Influence in shaping solutions, technology choices, and delivery strategies
Breadth across technologies, stacks, and industries
Mentorship opportunities to develop others while advancing your own leadership
Balance between deep technical work, collaboration, and personal commitments
 
Benefits and Perks
100% health/dental/vision premium coverage (50% for dependents)
Flexible work location and schedule
Flexible Time Off
Safe Harbor 401(k) Retirement Plan
Profit Sharing bonus
Professional development support
Disability and Life Insurance
Family Leave Benefits
Regular team events and recognition program
Fitness reimbursement
In-office game room
 
Our Learning Environment
We believe in:
Developing technical leadership and strategic thinking
Building advanced consulting and client advisory skills
Cross-domain expertise and emerging technology exploration
Team mentorship and knowledge sharing
Recognition for technical excellence and leadership impact
 
Work Location
We offer flexible options! This role is available as a hybrid position based in Spokane, Washington, or fully remote for candidates in select states where we’re set up for employment operations. We evaluate each location on a case-by-case basis, so please note your state of residence when applying.
Senior Software Engineering positions offer premium compensation that reflects the exceptional experience and strategic technical leadership capabilities you bring. We recognize the significant value of proven expertise and client relationship management and are prepared to offer competitive compensation for candidates with the technical expertise and mentoring capabilities we're seeking. Our focus is on providing opportunities for continued growth into technical leadership roles, combined with the comprehensive benefits package outlined in our posting. We believe the technical leadership development and client advisory experience you'll gain here creates exceptional long-term career value.
Want to learn more?
 
At Commerce Architects, we align our hiring with incoming client projects. While this means our start dates are flexible, it allows us to match you with real client work as soon as possible - not just internal tools. We're actively building our Talent Community, where strong candidates are frequently placed into roles within a few months. If you're excited about diving into enterprise-level work where you can make a real impact on enterprise software used by millions of people daily and comfortable with a flexible start date, let's talk about how you can grow with us.
 
Commerce Architects is an Equal Opportunity Employer and E-Verify participant. We value diversity and are committed to creating an inclusive environment for all employees. We encourage candidates of all backgrounds to apply.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.