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Machine Learning Teaching Assistant Jobs in Seattle, WA

FieldAI

Senior Machine Learning Engineer

Seattle, WA · On-site

$180K - $215K/yr

Model Deployment, Monitoring & Performance * Assist with deploying machine learning models into production environments * Continuously monitor models in production, detecting model drift, and ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA · On-site

$180K - $215K/yr

Model Deployment, Monitoring & Performance * Assist with deploying machine learning models into production environments * Continuously monitor models in production, detecting model drift, and ...

Axon

Senior Machine Learning Engineer

Seattle, WA · On-site

$150K - $241K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

KINDERING CENTER

Teaching Assistant (55271)

Bothell, WA

$20.50 - $27.75/hr

... of Teaching Assistant. This person will develop, coordinate, and implement classroom support as ... Enhance children's development and learning environments through a combination of parent coaching ...

Axon

Senior Machine Learning Engineer

Seattle, WA · On-site

$150K - $241K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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

Docugami

Machine Learning / Data Scientist

Kirkland, WA · On-site

  • Medical

  • PTO

... assist users in creating new documents more efficiently and consistently, and can automatically ... Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside ...

Docugami

Machine Learning / Data Scientist

Kirkland, WA

  • Medical

  • PTO

... assist users in creating new documents more efficiently and consistently, and can automatically ... Docugami is looking for Machine Learning, Data Science and Math PhD researchers to work alongside ...

KINDERING CENTER

Bilingual Teaching Assistant (55498)

Bothell, WA · On-site

$20.50 - $27.75/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... a Bilingual Teaching Assistant. This person will develop, coordinate, and implement classroom ... They will also work to enhance children's development and learning environments through a ...

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Showing results 21-40

All JobsMachine Learning Teaching JobsMachine Learning Teaching Assistant JobsMachine Learning Teaching Assistant Jobs in Seattle, WA

Machine Learning Teaching Assistant information

See Seattle, WA salary details

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How much do machine learning teaching assistant jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for machine learning teaching assistant in Seattle, WA is $20.54, according to ZipRecruiter salary data. Most workers in this role earn between $18.61 and $21.88 per hour, depending on experience, location, and employer.

What is a machine learning teaching assistant?

Machine Learning Teaching Assistants are individuals, often graduate students or knowledgeable undergraduates, who assist professors or instructors in teaching machine learning courses. Their responsibilities typically include helping students understand course material, grading assignments, holding office hours, and sometimes leading discussion or lab sessions. They act as a bridge between students and instructors, offering support for both theoretical concepts and practical implementation. By providing guidance and feedback, they help ensure students gain a solid understanding of machine learning principles and applications.

How does a machine learning teaching assistant typically collaborate with professors and students during a course?

As a Machine Learning Teaching Assistant, you will work closely with professors to develop and grade assignments, clarify course concepts, and facilitate discussions in lectures or lab sessions. You often serve as a bridge between students and faculty, providing guidance on programming tasks, troubleshooting code, and offering feedback on projects. Regular office hours and online forums are common venues for this support, making strong communication skills and a solid grasp of machine learning fundamentals essential. This collaborative environment helps you deepen your expertise while supporting student learning.

What are the key skills and qualifications needed to thrive as a machine learning teaching assistant, and why are they important?

To thrive as a Machine Learning Teaching Assistant, you need a solid foundation in machine learning concepts, programming (often Python), and relevant coursework or a degree in computer science or a related field. Familiarity with tools like Jupyter Notebooks, TensorFlow, PyTorch, and version control systems is commonly expected. Strong communication, patience, and organizational skills help you effectively support students and collaborate with instructors. These abilities ensure you can explain complex topics clearly, assist students efficiently, and contribute to a positive learning environment.

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 Machine Learning Teaching Assistant jobs in Seattle, WA?

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

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

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

Machine Learning Teaching Assistant jobs near you
Infographic showing various Machine Learning Teaching Assistant 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 $42,733 per year, or $20.5 per hour.

Senior Machine Learning Engineer

FieldAI

Seattle, WA • On-site

$180K - $215K/yr

Full-time

Re-posted 23 days ago

Job description

FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
What You'll Get To Do
Machine Learning modeling
  • Design, train, and deploy state-of-the-art machine learning models for end-to-end learning based navigation stack.
  • Work with deep learning architectures such as transformers, convolutional networks to capture complex decision making.
  • Architect and implement full-stack end-to-end navigation solutions, covering perception, prediction, and planning.
  • Explore novel data generation and collection pipelines to enrich training datasets.

Model Deployment, Monitoring & Performance
  • Assist with deploying machine learning models into production environments
  • Continuously monitor models in production, detecting model drift, and automating retraining processes as applicable
  • Troubleshoot issues related to model deployment, performance, and system integration.

What You Have
Bachelor's or Master's degree in Computer Science, AI, Statistics, or a related field, with 4+ years of industry experience.
  • Proficiency in Python and modern ML frameworks such as PyTorch, TensorFlow, or JAX, alongside working knowledge of C++ for deployment and system integration.
  • Deep understanding of contemporary deep learning architectures, optimization, and evaluation, with a strong grasp of end-to-end navigation stack components - including perception, prediction, and path/motion planning.
  • Proven track record deploying ML models into production environments, ideally within robotics, self-driving, or NLP.

The Extras That Set You Apart
  • Publications in top tier ML or robotics conferences

$180,000 - $215,000 a year
Our salary range is generous and we consider each individual's background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics' hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
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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