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Mid Level Machine Learning Teaching Jobs in Seattle, WA

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

... mid-level and junior engineers • Communicate model architecture decisions, tradeoffs, and ... Machine Learning, or a related field (or equivalent experience) • We're a collaborative, in ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

... mid-level and junior engineers • Communicate model architecture decisions, tradeoffs, and ... Machine Learning, or a related field (or equivalent experience) Preferred : • Experience in ...

Axon

Senior Machine Learning Engineer

Seattle, WA · On-site

$150K - $241K/yr

Experience with LLMOps - evaluation, monitoring, quantization, teacher-learner, etc.). * Hands-on ... The actual base pay is dependent upon many factors, such as: level, function, training ...

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

... mid-level and junior engineers • Communicate model architecture decisions, tradeoffs, and ... Machine Learning, or a related field (or equivalent experience) • We're a collaborative, in ...

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All JobsMid Level Machine Learning Teaching JobsMid Level Machine Learning Teaching Jobs in Seattle, WA

Mid Level Machine Learning Teaching information

See Seattle, WA salary details

$35.8K

$146.5K

$220.2K

How much do mid level machine learning teaching jobs pay per year?

As of Aug 20, 2026, the average yearly pay for mid level machine learning teaching in Seattle, WA is $146,543.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $176,400.00 per year, depending on experience, location, and employer.

What is the difference between Mid Level Machine Learning Teaching vs Data Scientist?

AspectMid Level Machine Learning TeachingData Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related; teaching experienceBachelor's or Master's in CS, Data Science, or related; often requires experience
Work EnvironmentEducational institutions, online platforms, corporate trainingTech companies, finance, healthcare, research labs
Employer & Industry UsageEducational and training sectors, universities, online educationPrivate sector, industry-specific applications, research
Common Search & Comparison IntentUnderstanding teaching roles in ML, educational careersData analysis, modeling, industry applications

Mid Level Machine Learning Teaching focuses on educating students or professionals in ML concepts, often requiring teaching experience and educational credentials. Data Scientists analyze data, build models, and apply ML techniques in industry settings. While both roles involve ML knowledge, teaching emphasizes instruction, whereas data science emphasizes application and analysis.

What are the most commonly searched types of Machine Learning Teaching jobs in Seattle, WA?

The most popular types of Machine Learning Teaching jobs in Seattle, WA are:

What are popular job titles related to Mid Level Machine Learning Teaching jobs in Seattle, WA?

For Mid Level Machine Learning Teaching jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Mid Level Machine Learning Teaching jobs in Seattle, WA look for?

The top searched job categories for Mid Level Machine Learning Teaching jobs in Seattle, WA are:

Mid Level Machine Learning Teaching jobs near you
Infographic showing various Mid Level Machine Learning Teaching job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 25% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $146,543 per year, or $70.5 per hour.

Senior Software Engineer-Machine Learning

Microsoft

Redmond, WA • On-site

$160K - $261K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Microsoft rating

8.5

Company rating: 8.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

78th of 245 rated software companies

Job description

Overview
Security represents the most critical priorities for our customers in a world awash in digital threats, regulatory scrutiny, and estate complexity. Microsoft Security aspires to make the world a safer place for all.
Our team protects both enterprise, consumer and agent identities against sophisticated attacks. We are using machine learning and generative AI to evaluate billions of transactions and petabytes of telemetry online. Security, availability, efficiency and scale are essential for us. We keep exploring new AI techniques to detect new security threats. We are looking for an experienced Software Engineer who is passionate about machine learning and security. You will have the opportunity to learn and apply the most advanced genAI technique to build threat detections and protect billions of users. This team has both machine learning experts and engineering guru. You can learn and grow expertise in both fields. The projects in this team are highly visible at CVP level. If you are result driven and seek fast career growth. This is the team for you.
Our culture promotes diversity, multiculturalism, and inclusion and is clearly reflected in all the things we do. Diversity is more than a commitment for us - it is the foundation of what we do. Our team has a strong sense of accountability and provides its members with many opportunities for learning and career growth.
We have exciting opportunities for you to innovate, influence, transform, inspire, and grow within our organization and we encourage you to apply to learn more!
#IdentityJobs
Responsibilities
  • Work with data science team to train machine learning models for threat detection.

  • Build AI agent to automatically detect system vulnerability and simulate real attacks.

  • Build data platform and signal ingestion pipeline.

  • Design and integrate machine learning models in production systems to achieve real-time identity protection.

  • Focus on customer/partner needs through a data driven approach.

  • Improve test coverage for services, organize and implement integration tests, and resolve problem areas.

  • Troubleshoot and optimize automation, reliability and monitoring for LiveSite.

  • Debug issues in production and respond to them quickly to mitigate customer impact.

Qualifications
Required Qualifications:
  • Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Other Requirements:
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:
  • Master's Degree in Computer Science or related technical field.

  • Experience in machine learning, deep learning and genAI.

  • Experience building large-scale, distributed platforms.

  • Experience in security (optional).

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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About Microsoft

Sourced by ZipRecruiter

Our infrastructure is comprised of a large global portfolio of more than 100 datacenters and 1 million servers. Our foundation is built upon and managed by a team of subject matter experts working to support services for more than 1 billion customers and 20 million businesses in over 90 countries worldwide. With environmental sustainability and optimization at the forefront of our datacenter design and operations, we continue to grow and evolve as we meet the ever-changing business demands that hold Microsoft as a world-class cloud provider.

Industry

Computer and computer peripheral equipment and software wholesalers

Company size

10,000+ Employees

Headquarters location

Redmond, WA, US

Year founded

1975

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