ZipRecruiter

Log In

2

Manager Remote Machine Learning Engineer Jobs in Spokane, WA

micro1 AI

AI Trainer - Microbiology Expert

Spokane, WA · Remote

$70 - $90/hr

Remote micro1 is engaging Microbiologists to contribute their scientific expertise to a unique ... Experience with AI, machine learning, or annotation projects related to biology or microbiology.

Corporate Tools

Site Reliability Engineer

Post Falls, ID · On-site +1

$175K/yr

This is a remote position, but if you're near one of our local offices, you're welcome to come ... machine (except without actual oil). You'll work closely with our DevOps engineers to build out ...

Corporate Tools

Junior Software Engineer

Post Falls, ID · On-site +1

$75K/yr

This is a remote position, but if you're near one of our local offices, you're welcome to come ... We love learning, experimenting, and finding better ways to solve problems-as long as we're ...

McKinstry

Lead Engineer - Mechanical

Spokane, WA · On-site +1

$95K - $140K/yr

What You'll Do Team Management * Delegates specific design tasks to team members and manages ... Learning and advancement opportunities via McKinstry University. * McKinstry Moves onsite gyms or ...

Corporate Tools

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 ...

Leidos

Lead EPC Substation Project Engineer

Spokane, WA · On-site +1

$99K - $126K/yr

... management tasks in the areas of comprehensive engineering design of electrical transmission and distribution, substation and transmission line projects nationwide. This role has remote working ...

next page

Showing results 1-20

All JobsMachine Learning Engineer JobsManager Remote Machine Learning Engineer JobsManager Remote Machine Learning Engineer Jobs in Spokane, WA

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 Aug 19, 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 are popular job titles related to Manager Remote Machine Learning Engineer jobs in Spokane, WA?

For Manager Remote Machine Learning Engineer jobs in Spokane, WA, the most frequently searched job titles are:

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:

Manager Remote Machine Learning Engineer jobs near you

Medical Microbiology Consultant - Remote

micro1 AI

Spokane, WA • Remote

$70 - $90/hr

Part-time

Posted 21 days ago

Job description

Role Title: Microbiologist


Role Type: Contractor


Location: Remote


micro1 is engaging Microbiologists to contribute their scientific expertise to a unique customer project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Key Responsibilities:

  1. Investigate and analyze the development, morphology, and behavior of microscopic organisms including bacteria, fungi, and algae.
  2. Contribute to the study of the relationship between microorganisms and disease, supporting projects involving medical microbiology.
  3. Assess the impact of antibiotics and other agents on microbial populations, providing insights for AI model accuracy.
  4. Document experimental findings and processes with a focus on clarity for AI training data.
  5. Collaborate with interdisciplinary teams to ensure scientific rigor and data integrity in AI development.
  6. Provide written and verbal expertise on microbiological phenomena and their relevance to real-world and computational contexts.
  7. Utilize rubrics and established evaluation criteria to assess data quality and support AI training workflows.


Required Skills and Qualifications:

  1. Bachelor’s degree or higher in Biology, Microbiology, Chemistry, or a related field.
  2. Extensive knowledge of bacterial, fungal, and algal systems.
  3. Demonstrated expertise in investigating microbial structure and physiology.
  4. Strong written and verbal communication skills for technical and interdisciplinary collaboration.
  5. Ability to document processes and findings clearly for integration into AI systems.
  6. Comfort working independently in a fully remote, digital-first environment.
  7. Attention to detail and commitment to scientific accuracy.


Preferred Qualifications:

  1. Prior experience developing or applying rubrics in scientific or educational contexts.
  2. Experience with AI, machine learning, or annotation projects related to biology or microbiology.
  3. Advanced degree (Master’s or PhD) in a relevant field.

Apply