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Mid Level Machine Learning Teaching Jobs in Seattle, WA

Carbon Robotics

Deep Learning Engineer

Seattle, WA · On-site

Mentor and provide technical guidance to mid-level and junior engineers * Communicate model ... Machine Learning, or a related field (or equivalent experience) In Office Requirements * We're a ...

Axon

Senior Machine Learning Engineer

Seattle, WA · Hybrid

$139K - $183K/yr

Reports to: Manager, Machine Learning Engineering * Collaborate with scientists and product ... Experience with LLMOps - evaluation, monitoring, quantization, teacher-learner, etc.). * Hands-on ...

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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 Jul 13, 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 a $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data analysis, and programming. These positions usually involve leadership responsibilities, extensive experience, and may include stock options or bonuses as part of compensation.

Which 3 jobs will survive AI?

Mid Level Machine Learning Teaching roles are likely to persist as they require specialized knowledge, human interaction, and the ability to adapt to new AI tools. Jobs that involve complex problem-solving, creativity, and emotional intelligence, such as data scientists, AI ethics specialists, and technical trainers, are also expected to remain in demand despite AI advancements.

Will MLE be replaced by AI?

Mid Level Machine Learning Engineers (MLEs) focus on developing, deploying, and maintaining machine learning models, which requires a combination of programming, data analysis, and domain knowledge. While AI automation tools can assist with certain tasks, MLEs are essential for designing complex models, troubleshooting, and ensuring ethical and effective implementation, making complete replacement unlikely in the near term.

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.

Can I learn ML in 3 months?

For a mid-level machine learning teaching role, gaining foundational knowledge in machine learning typically requires several months of dedicated study, including understanding algorithms, programming in Python, and working with tools like scikit-learn or TensorFlow. While intensive learning over three months can build basic skills, achieving proficiency suitable for teaching or advanced roles usually takes longer and involves practical experience and project work.
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 July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $146,543 per year, or $70.5 per hour.
Technical Business Analyst (Mid-Level or Senior)

Technical Business Analyst (Mid-Level or Senior)

Boeing

Seattle, WA • On-site

Full-time

Medical, Life, Retirement

Posted 2 days ago

New

Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 602 frontline employees who took The Breakroom Quiz

34th of 527 rated manufacturers

Job description

Technical Business Analyst (Mid-Level or Senior)

Company:

The Boeing Company

The Boeing Company is looking for a Technical Business Analyst (Mid-Level or Senior) to join our Boeing Test and Evaluation (BT&E) team in Seattle, WA.

The Technical Business Analyst plays a critical role in strengthening the Business Intelligence and Analytics team processes, improving handoffs between business and technical functions. This role helps ensure work is executed with the structure, discipline, and documentation needed to support complex solutions needed to fulfil business requests.

This position is essential in driving consistent application of software development lifecycle practices, including technical requirements definition, documentation, testing, and release readiness. The Technical Business Analyst helps ensure that work is fully captured and traceable, and that solutions are tested and validated to the highest standards before delivery.

By providing a strong bridge between business intent and technical execution, this role will help the team mature its delivery practices, improve quality and consistency, and move forward into future endeavors.

Position Responsibilities:

  • Serve as the primary liaison between business-facing and technical team members

  • Partner across all team functions to clarify business needs and define solution scope

  • Translate business requests into clear, actionable technical requirements and testing plans

  • Document requirements in a way that supports development, testing, traceability, and delivery

  • Consult in discovery discussions as the technical expert to reduce unnecessary developer involvement in early conversations

  • Support the full software development lifecycle, from intake and analysis through development, testing, and implementation

  • Own the testing approach for all work, including creating test plans and guiding developers through testing activities

  • Communicate status, risks, dependencies, and decisions clearly to both business and technical audiences

  • Contribute to process improvement efforts that increase delivery quality, consistency, and predictability

  • Work across Business Intelligence technologies and solutions, including tool programming (Visual Basic Application (VBA) for Excel, Python), data visualization (Tableau, Power Business Intelligence (BI), and International Business Machines (IBM) Cognos) and data engineering (Structured Query Language (SQL) Server, PostgreSQL, and Databricks)

  • Ensure documentation and source control are maintained in the appropriate team repositories, including Azure DevOps, team wikis, and SharePoint

Basic Qualifications:

  • This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee

  • Technical degree in a related field of study and typically 5 or more years' related work experience or an equivalent combination of education and experience

  • 3+ years of experience managing projects with cross-functional stakeholders and teammates

  • 3+ years' experience with software development lifecycle, programming processes, etc

  • 3+ years of experience with Tableau, Power Bi, Cognos, or other visualization tools

  • 3+ years of experience developing and executing test plans and scenarios including data design extract/transform

  • 2+ years of experience with coding, debugging and development

Preferred Qualification:

  • Level 4: 9 or more years' related work experience or an equivalent combination of technical education and experience (e.g. PhD+4 years' related work experience, Master+7 years' related work experience

  • 5+ years of experience managing cross-functional and/or cross-team projects

  • 5+ years of experience with software development lifecycles from conception to delivery, utilizing tools such as Azure DevOps, Jira, or similar

  • Experience managing Artificial Intelligence/Machine Learning (AI/ML) projects

  • Experience with cloud data architecture, such as Azure Data Factory, Databricks, or similar

  • Comfortable prototyping, analyzing, or experimenting using tools such as Python, SQL, or similar

Drug Free Workplace:

Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Pay & Benefits:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary Pay Range Mid - Level: $102,850 - 139,150

Summary Pay Range Senior Level: $128,350 - 173,650

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

Relocation assistance is not a negotiable benefit for this position.

Export Control Requirement:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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