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Manager Remote Machine Learning Engineer Jobs in Spokane, WA

Senior DevOps Engineer

Post Falls, ID · On-site +1

$140K - $170K/yr

This is a remote position, but if you're near one of our local offices, you're welcome to come ... Manage AWS IAM users and IAM permissions through terraform * Maintain and improve the team ...

Remote Job Summary: Join our team as a Senior Database Reliability Engineer, where you'll play a ... Key Responsibilities: • Design, implement, and manage highly available, resilient PostgreSQL ...

In this role, you will partner across Sales, Product Management, and Engineering to support ... S.-based Strategic Accounts team in a remote role. ESSENTIAL DUTIES AND RESPONSIBILITIES * Partner ...

This is a remote position, but if you're near one of our local offices, you're welcome to come ... to manage everything that has to do with data. This role will help get large datasets into the ...

Showing results 21-40

Manager Remote Machine Learning Engineer information

See Spokane, WA salary details

$30.8K

$69.4K

$116.8K

How much do manager remote machine learning engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for manager remote machine learning engineer in Spokane, WA is $69,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,600.00 and $75,300.00 per year, depending on experience, location, and employer.

What is a manager remote machine learning engineer?

A Manager Remote Machine Learning Engineer is a leadership role responsible for overseeing a team of machine learning engineers who work remotely. They manage the development, deployment, and optimization of machine learning models and ensure that projects align with organizational goals. In addition to technical expertise, this manager focuses on remote team collaboration, communication, and productivity. They often coordinate workflows, mentor team members, and act as a bridge between technical teams and business stakeholders.

How does a manager remote machine learning engineer typically balance team leadership with hands-on technical responsibilities?

A Manager Remote Machine Learning Engineer often splits time between leading and mentoring a distributed team and actively contributing to machine learning projects. While overseeing project timelines, conducting code reviews, and setting technical direction are key leadership tasks, managers also stay involved in model development and troubleshooting to maintain technical expertise. Effective communication and clear documentation are crucial, as remote teams rely on these to collaborate efficiently across different time zones. Balancing these responsibilities requires strong organizational skills and the ability to prioritize both people management and technical deliverables.

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

To thrive as a Manager Remote Machine Learning Engineer, strong expertise in machine learning algorithms, programming (Python, R), and a degree in computer science or a related field are essential, along with proven leadership experience. Familiarity with cloud platforms (AWS, Azure, GCP), ML frameworks (TensorFlow, PyTorch), and project management tools is typically required, as well as certifications such as AWS Certified Machine Learning or Google Professional Machine Learning Engineer. Outstanding communication, team leadership, and problem-solving skills help foster collaboration and drive remote teams toward project goals. These capabilities are vital for effectively managing distributed teams, delivering robust AI solutions, and ensuring project success in a remote environment.

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

AspectManager Remote Machine Learning EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, ML, or related; experience in ML engineeringBachelor's/Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentRemote, collaborative teams, focus on ML model deploymentRemote or on-site, data analysis, model development, research
Employer & Industry UsageTech companies, AI startups, large enterprisesTech, finance, healthcare, research institutions
Search & Comparison IntentUnderstanding managerial roles in ML teamsData analysis, modeling, research tasks

The Manager Remote Machine Learning Engineer oversees ML projects and teams, focusing on deployment and management, while Data Scientists primarily analyze data and develop models. Both roles require strong technical skills, but the manager role emphasizes leadership and project oversight.

Can a manager remote machine learning engineer work remotely?

Yes, a manager remote machine learning engineer can work remotely, as many companies offer remote positions for this role. Success in remote work often depends on strong communication skills, familiarity with collaboration tools, and the ability to manage projects independently.

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

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

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

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

Software Engineer (1-3 Years Experience)

Spokane, WA • On-site, Remote

Commerce Architects
Internet and IT • 11 - 50 employees

$85K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 14 days ago


Job description

We're looking for engineers with 1-3 years of experience who are ready to accelerate their growth through hands-on work with enterprise-level clients. At Commerce Architects, we've spent 16 years building complex solutions for industry-leading companies, and we're looking for engineers who are ready to build on their foundation while developing expertise that sets them apart.
 
About the Role
As a Software Engineer I (SE1), you'll implement features and contribute to the design of cloud applications that serve millions of users. You'll work autonomously on complex features, ensuring quality through strong testing practices and clear documentation. You'll collaborate with your team to deliver high-quality solutions, adapting to different technology stacks and practices as project needs evolve. This is a full-time position requiring approximately 40 hours per week, with flexibility to accommodate occasional additional hours during busy periods.
 
Your Growth Path
Within 12-18 months, you'll progress to:
Specializing in specific technologies while learning new ones
Leading component designs and contributing to architecture
Actively participating in client processes and technical discussions
Supporting and mentoring junior team members
Managing complex features independently
Contributing to process improvements
 
Most importantly, you'll develop the judgment to make sound technical decisions, the confidence to advocate for better solutions, and the skills to guide others in their technical growth.
 
What You'll Need
1-3 years of professional software development experience
Strong foundation in object-oriented programming and testing practices
Proficiency with SQL/NoSQL databases
Experience with CI/CD pipelines and version control
Ability to estimate and deliver complex features
Strong problem-solving and troubleshooting skills
Clear documentation and communication abilities
  Must be legally authorized to work in the United States on a full-time basis without requiring sponsorship now or in the future
 
A Typical Day
As a Software Engineer I at Commerce Architects, your day begins with a team sync, where you discuss project goals and upcoming milestones. You're currently focused on implementing a new feature for a client in the retail industry, using Java and React to enhance their platform. After joining the SmashBros tournament during lunch break, you dive into coding, using your knowledge of AWS and Terraform to configure the infrastructure needed for the application. Along the way, you troubleshoot a few integration issues and coordinate with your team to push updates through the CI/CD pipeline. Later, you review code submitted by a teammate, offering feedback to ensure the quality of the project. By the end of the day, you've pushed your changes and made meaningful progress, all while balancing learning new technologies and contributing to the project's success. You step out a bit early to pick up your car from the shop, easily making up the time later, thanks to the flexible work arrangements.
 
Why It's Different Here
While other companies might offer higher salaries or push for early specialization, here you'll get:
Exposure to multiple technology stacks and platforms
Experience across different technical domains
Opportunities to work on various parts of the technology stack
Real input into architecture and process improvements
The chance to develop broad technical leadership skills
 
Recent SE1s have:
Investigated new technologies and presented findings to the company during a Lunch & Learn
Assisted their team in troubleshooting production issues
Suggested a better approach to a problem during a team backlog grooming session
 
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
Recognition program
Fitness reimbursement
In-office game room
 
Our Learning Environment
We believe in:
Hands-on experience with enterprise-scale systems
Regular opportunities to lead and mentor
Building deep technical expertise
Direct client interaction
Work-life balance
Recognition for good work
 
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. While we have team members across the country, our ability to hire in certain states is limited due to varying regulations and operational considerations. We evaluate each location on a case-by-case basis, so please note your state of residence when applying. We're happy to discuss specific location questions during our initial conversations.
$85,000 - $105,000 a year
Starting salaries for Software Engineer I positions typically align with the base of our posted range. While we value the 1-3 years of experience you bring and may consider modest adjustments for candidates with highly relevant skills, our primary focus is on your long-term growth trajectory with us. Rather than competing solely on initial compensation, we invest in providing diverse technical experiences across multiple enterprise stacks, opportunities to contribute to architecture, and the comprehensive benefits package outlined in our posting. We believe the accelerated technical leadership development you'll experience here creates more lasting value than marginally higher starting salaries elsewhere.
Want to learn more? Let's Chat!
At Commerce Architects, we align our hiring with incoming enterprise 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 and comfortable with a flexible start date, let's talk about how you can grow with us.
 
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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.
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