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

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post ... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ...

This involves developing sophisticated machine learning and large language models (LLMs) to ... Designing and developing advanced Reinforcement Learning technologies in the post-training of ...

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in ... You have experience writing code and training across distributed systems * You have the ability to ...

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best ... You have experience writing code and training across distributed systems * You have an ability to ...

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best ... You have experience writing code and training across distributed systems * You have an ability to ...

Staff Machine Learning Engineer In order to execute our vision, we need to grow our team of best-in ... You have experience writing code and training across distributed systems * You have the ability to ...

We are seeking a Principal Machine Learning Engineer to accelerate our training of generative models in close collaboration with Maching Learning (ML) researchers, software engineers, and domain ...

Machine Learning Engineer

Seattle, WA · On-site

$165K - $209K/yr

... engineering, machine learning engineering, or related roles. * Data Pipelineexperience ... Experience with ML systems and tools, such as training pipelines and model evaluation frameworks.

Your contributions will drive the development of novel machine learning solutions, rapidly ... We also offer free online training through Aquent Gymnasium. More information on our awesome ...

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 ...

Machine Learning Engineer

Seattle, WA · On-site

$165K - $209K/yr

... engineering, machine learning engineering, or related roles. * Data Pipelineexperience ... Experience with ML systems and tools, such as training pipelines and model evaluation frameworks.

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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.
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 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 Engineer

Bespoke Labs

Bellevue, WA • On-site

Full-time

Posted 26 days ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments — and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience — model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training — SFT, RLHF, PPO, DPO, or reward model training — and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology — held-out sets, benchmark design, avoiding train/eval contamination