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Machine Learning Trainer Jobs in Seattle, WA (NOW HIRING)

FieldAI

Senior Machine Learning Engineer

Seattle, WA

$180K - $215K/yr

Your contributions will directly shape how we scale - through advances in model architecture, training methodologies, and deployment strategies. You'll collaborate closely with machine learning ...

Remitly

Staff Machine Learning Engineer

Seattle, WA

$208K - $260K/yr

Lead the end-to-end ML lifecycle from raw data to EDA to model training to offline/online ... Machine Learning systems in production. * Strong programming skills in Python, Go, Scala or a ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA

$180K - $215K/yr

Your contributions will directly shape how we scale - through advances in model architecture, training methodologies, and deployment strategies. You'll collaborate closely with machine learning ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive ...

Axon

Senior Machine Learning Engineer

Seattle, WA · Hybrid

$139K - $183K/yr

Reports to: Manager, Machine Learning Engineering * Collaborate with scientists and product ... Collaborate with scientists in architecting and implementing state-of-the-art training techniques.

Scowtt

Staff Machine Learning Engineer

Seattle, WA · On-site

... for continuous training, monitoring, and rapid experimentation • Solve systemic ML problems ... machine learning and production ML systems • 6-10 years of experience in deploying and operating ...

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All JobsMachine Learning Trainer JobsMachine Learning Trainer Jobs in Seattle, WA

Machine Learning Trainer information

See Seattle, WA salary details

$31.9K

$99.4K

$128K

How much do machine learning trainer jobs pay per year?

As of Jul 13, 2026, the average yearly pay for machine learning trainer in Seattle, WA is $99,378.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $126,300.00 per year, depending on experience, location, and employer.

What are the typical challenges faced by a Machine Learning Trainer in the workplace?

Machine Learning Trainers often encounter the challenge of explaining complex algorithms and abstract mathematical concepts to learners with varying levels of expertise. Adapting course materials to suit different learning styles and staying current with the latest advancements in machine learning require continuous self-development. Trainers may also need to collaborate closely with data scientists, engineers, and curriculum developers to ensure their training aligns with real-world applications. Overcoming these challenges not only enhances teaching effectiveness but also contributes to the overall growth of both trainers and their learners.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI systems, and their role involves understanding algorithms, data preprocessing, and model deployment. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and troubleshooting complex models, making complete replacement unlikely in the near term.

What are the key skills and qualifications needed to thrive in the Machine Learning Trainer position, and why are they important?

To thrive as a Machine Learning Trainer, you need a solid background in computer science, statistics, and machine learning concepts, often supported by relevant academic degrees and industry experience. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and certifications like TensorFlow Developer or AWS Machine Learning are valuable assets. Excellent communication, patience, and adaptability allow trainers to effectively convey complex concepts to diverse learners. These skills ensure effective teaching, learner engagement, and successful knowledge transfer in a rapidly evolving technological landscape.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data analysis, and programming. These roles usually involve leadership, strategic planning, and may require extensive experience, advanced degrees, and knowledge of tools like TensorFlow or PyTorch.

What is the salary of machine learning trainer?

The salary of a machine learning trainer varies depending on experience, location, and industry, but typically ranges from $70,000 to $130,000 annually. Professionals with advanced skills in programming, data analysis, and deep learning tools like Python, TensorFlow, or PyTorch tend to earn higher salaries.

What is a Machine Learning Trainer job?

A Machine Learning Trainer is responsible for preparing and curating datasets, fine-tuning machine learning models, and optimizing algorithms for accuracy and efficiency. They work closely with data scientists and engineers to improve model performance and ensure high-quality training data. This role involves tasks like labeling data, selecting features, and implementing preprocessing techniques. Additionally, they may develop training methodologies and evaluate models using various metrics to enhance their effectiveness.

How much money do AI trainers make?

AI trainers, often considered a type of machine learning trainer, typically earn salaries ranging from $60,000 to $120,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with specialized skills in data annotation, model tuning, and relevant tools can earn higher wages.
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Machine Learning Trainer jobs near you

Senior Machine Learning Engineer

FieldAI

Seattle, WA

$180K - $215K/yr

Full-time

Posted 17 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.

As an ML Engineer at FieldAI, you will help build the next-generation Field Foundation Model (FFM), powering a global fleet of autonomous robots deployed across diverse environments. Your contributions will directly shape how we scale - through advances in model architecture, training methodologies, and deployment strategies.

You'll collaborate closely with machine learning scientists, software engineers, and robotics experts to design and implement FFM capabilities that generalize across tasks and environments. Beyond model development, you'll also support deployment and monitoring to ensure smooth integration and reliable real-world performance.

This role offers the opportunity to work with cutting-edge technologies, solve complex challenges, and directly impact large-scale robot deployments.

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 statu
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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