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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) • We're a collaborative, 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 ...

Scowtt Inc

Staff Machine Learning Engineer

Seattle, WA · On-site

$190K - $250K/yr

About the Role We are looking for a Staff+ Machine Learning Engineer to lead and evolve the ML ... level hired at and location, the cash compensation for this role ranges between $190,000 to $250 ...

Scowtt Inc

Staff Machine Learning Engineer

Seattle, WA · On-site

$190K - $250K/yr

About the Role We are looking for a Staff+ Machine Learning Engineer to lead and evolve the ML ... level hired at and location, the cash compensation for this role ranges between $190,000 to $250 ...

Gensler

Interior Designer - Mid Level

Seattle, WA · On-site

$87K - $105K/yr

Your Role As a Mid Level Gensler Interior Designer, your job is to combine creativity and technical ... Contribute to office activities, initiatives, and learning programs Your Qualifications * Bachelor ...

Gensler

Interior Designer - Mid Level

Seattle, WA · On-site

$87K - $105K/yr

Your Role As a Mid Level Gensler Interior Designer, your job is to combine creativity and technical ... Contribute to office activities, initiatives, and learning programs Your Qualifications * Bachelor ...

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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 15, 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.
Deep Learning Engineer

Deep Learning Engineer

Carbon Robotics

Seattle, WA • On-site

Full-time

Posted 28 days ago

Job description

Job Summary:
Carbon Robotics is an innovative company focused on leveraging advanced robotics and AI to improve agricultural practices. As a Deep Learning Engineer, you will design, develop, and deploy deep learning systems for autonomous laser weeding robots, ensuring high performance and scalability in real-world applications.
Responsibilities:
• Lead the design and execution of experiments to develop and validate novel deep learning architectures for computer vision in agricultural environments
• Own model optimization and deployment pipelines — ensuring high performance, reliability, and scalability across operational field deployments
• Drive end-to-end ML workflows from data strategy and pipeline design through evaluation and production deployment
• Define best practices for experimentation, documentation, and model evaluation within the team
• Partner with Engineering and Product Management to scope, prioritize, and deliver high-impact features
• Mentor and provide technical guidance to mid-level and junior engineers
• Communicate model architecture decisions, tradeoffs, and performance results to both technical and non-technical audiences
Qualifications:
Required:
• 2-4 years of professional experience designing and implementing novel deep learning architectures for production computer vision systems
• Deep understanding of foundational deep learning mathematics and the ability to apply first-principles thinking to architecture decisions
• Hands-on experience working across the software stack, including sensor integration and web services, ideally within a robotics or autonomous field equipment platform
• Experience with deep learning frameworks, particularly PyTorch, and proficiency in C++ for performance-critical model development and deployment
• Proven track record taking ML projects from inception through business impact — including data strategy, pipeline development, experimentation, and deployment at scale
• Strong expertise in modern object detection techniques (vision transformers, anchor-free detectors, embeddings, and beyond)
• Comfort navigating ambiguity and making principled technical decisions in rapidly evolving technical landscapes
• Strong verbal and written communication skills — able to explain complex model behavior and tradeoffs to non-technical staff and customers
• Experience mentoring engineers and contributing to team technical culture
• 2-7 years of experience in deep learning model optimization and deployment
• BS+ in Computer Science, Machine Learning, or a related field (or equivalent experience)
• We're a collaborative, in-person team — this role is based in our Seattle office with at least 4 days per week on-site
Preferred:
• Experience in autonomous driving or ADAS is a plus — background in perception pipelines, sensor fusion, or real-time inference in outdoor or unstructured environments is highly valued
Company:
Carbon Robotics is revolutionizing agriculture with AI and robotics to reduce costs and increase yields Founded in 2018, the company is headquartered in Seattle, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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