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

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 · On-site

$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 ...

Meta

Engineering Manager, Machine Learning

Bellevue, WA

$219K/yr

... training infrastructure and production deployment. You will shape the technical strategy for ... Engineering Manager, Machine Learning Responsibilities: * Manage multiple teams of ML engineers and ...

Axon

Senior Machine Learning Engineer

Seattle, WA

$139K - $183K/yr

As a Machine Learning Engineer at Axon , you'll help build AI solutions that are transforming ... Tackle engineering challenges spanning model training and fine-tuning, large-scale evaluation ...

Axon

Senior Machine Learning Engineer

Seattle, WA · On-site

$139K - $183K/yr

As a Machine Learning Engineer at Axon , you'll help build AI solutions that are transforming ... Tackle engineering challenges spanning model training and fine-tuning, large-scale evaluation ...

Orchard

Machine Learning Engineer

Seattle, WA · On-site

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 ...

Expedia

Machine Learning Engineer III

Seattle, WA · On-site

$252K/yr

We are seeking a Machine Learning Engineer III to join our Advertising Technology team, where we ... Experience contributing to production ML systems, including model training, evaluation, or ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA · On-site

$180K - $215K/yr

Explore novel data generation and collection pipelines to enrich training datasets. Model Deployment, Monitoring & Performance * Assist with deploying machine learning models into production ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA

$180K - $215K/yr

Explore novel data generation and collection pipelines to enrich training datasets. Model Deployment, Monitoring & Performance * Assist with deploying machine learning models into production ...

FieldAI

Senior Machine Learning Engineer

Seattle, WA

$180K - $215K/yr

Explore novel data generation and collection pipelines to enrich training datasets. Model Deployment, Monitoring & Performance * Assist with deploying machine learning models into production ...

Adobe

Principal Machine Learning Engineer

Seattle, WA · On-site

We are hiring a Principal Machine Learning Engineer to serve as the technical lead for our GenAI ... This is not a model-training or research role - it is the senior-most hands-on engineering ...

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Showing results 41-60

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 Sep 15, 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 is a machine learning trainer?

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.

What are the key skills and qualifications needed to thrive as a machine learning trainer?

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 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.

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

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

What are popular job titles related to Machine Learning Trainer jobs in Seattle, WA?

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

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

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

Machine Learning Trainer jobs near you
Infographic showing various Machine Learning Trainer job openings in Seattle, WA as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 75% Full Time, 20% Part Time, and 3% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $99,378 per year, or $47.8 per hour.

Staff Machine Learning Engineer

Seattle, WA

Remitly
Finance and Insurance • 1 - 5K employees
Learn more about Remitlyexternal

$208K - $260K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Key responsibilities

  • Lead the end-to-end machine learning lifecycle from raw data to model deployment.

  • Design, build, and scale feature pipelines for batch and real-time ML applications.

  • Partner with data scientists, product owners, and engineers to turn prototypes into reliable, customer-facing ML systems.

Job description

Job Description:

At Remitly, we are on a mission to transform lives by providing trusted financial services that transcend borders. We serve millions of customers sending billions of dollars each year across 170+ countries, and our work impacts communities on a truly global scale.

About the Role:

As a Staff Machine Learning Engineer in Remitly's Core AI/ML team, you'll work at the heart of our AI strategy. The Core AI/ML team is responsible for building the foundational machine learning systems, frameworks, and services that power Remitly's next generation of products and operations. We work horizontally across domains at Remitly-Global Money Movement, Treasury, Identity & Trust, Promotions, Referrals, etc.

We are looking for an experienced Machine Learning Engineer to build large scale systems that propel our next phase of growth.

You Will:

  • Lead the end-to-end ML lifecycle from raw data to EDA to model training to offline/online evaluation and model deployment.
  • Design, build, and scale feature pipelines for batch and real-time ML applications.
  • Partner with data scientists, product owners, and engineers across verticals to turn prototypes into reliable, customer-facing ML systems.
  • Optimize models and pipelines using MLOps best practices: automated retraining, drift detection, CI/CD, monitoring, observability.
  • Mentor and lead other engineers: champion design reviews, technical discussions, and maintain a high bar for code quality.
  • Drive technical strategy and influence ML architecture decisions across the organization.

You Have:

  • Degree in Computer Science, Data Science, Statistics, Mathematics or equivalent practical experience.
  • 10+ years delivering Machine Learning systems in production.
  • Strong programming skills in Python, Go, Scala or a similar language.
  • Hands-on experience with ML frameworks (e.g., PyTorch, scikit-learn, numpy).
  • Experience working with major cloud platforms (AWS, GCP, or Azure).
  • Experience with one or more of Deep Learning algorithms, Large Language Models, Causal Inference, Personalization, Knowledge Graphs, Natural Language Processing would be desirable.
  • Experience with transformer architectures, pretraining, post-training, and fine-tuning of LLMs would be strongly preferred.
  • Demonstrated experience leading cross-functional ML initiatives and mentoring senior engineers.

Compensation Details. The starting base salary range for this position is typically $208,000-$260,000. In the U.S., Remitly employees are shareholders in our Company and equity is part of our total compensation plan. Your recruiter can share more information about medical benefits offered, as well as other financial benefits and total compensation components offered with this role.

Our Benefits:

  • Flexible paid time off
  • Health, dental, and vision + 401k plan with company matching
  • Paid parental, medical, military and family care leave
  • Mental Health & Family Forming Benefits
  • Employee Stock Purchase Plan (ESPP)
  • Continuing education and travel benefits

Our Connected Work Culture: Driving Innovation, Together

At Remitly, we believe that true innovation sparks when we come together. Our Connected Work Culture fosters dynamic in-person collaboration, where ideas ignite and challenging problems find solutions faster. For corporate team members, we have an in-office expectation of at least 50% of the time monthly, typically achieved by coming in three days a week. This creates a consistent, meaningful overlap that supports team norms and business needs. Managers also have the flexibility to set higher expectations based on their team's specific needs. These intentional in-office moments are vital for deepening relationships, fueling creativity, and ensuring your impact is felt where it matters most.

Remitly is an E-Verify Employer

At Remitly, we are dedicated to ensuring that our workplace offers equal employment opportunities to all employees and candidates, in full compliance with applicable laws and regulations.

Remitly is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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