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Machine Learning Engineer Apprenticeship Jobs in Seattle, WA

DocuSign

Machine Learning Engineer

Seattle, WA

Machine Learning Engineer As a Machine Learning Engineer on the AI Platform team, you will design and build the foundational infrastructure that powers Docusign's next generation of intelligent ...

Alignerr

Machine Learning Engineer

Seattle, WA · Remote

Machine Learning Engineer (AI Data Trainer) About the Role What if your expertise in machine learning could directly influence how the next generation of AI models reason, plan, and solve complex ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

Applied Machine Learning Engineer responsibilities include creating machine learning models and retraining systems. To do this job successfully, you need exceptional skills in statistics and ...

Robinhood

Machine Learning Engineer

Bellevue, WA

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Robinhood

Machine Learning Engineer

Bellevue, WA

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

Robinhood

Machine Learning Engineer

Bellevue, WA · On-site

We're looking for an exceptional Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving ...

1872 Consulting

Machine Learning Engineer

Bellevue, WA · On-site

Machine Learning Engineer - Senior Level Bellevue, WA - HQ Your Skills: * Experience with cloud-based commercial software development on Linux * Experience working with Client infrastructure (MLFlow ...

DocuSign

Machine Learning Engineer

Seattle, WA · On-site +1

$164K - $266K/yr

What you'll do As a Machine Learning Engineer on the AI Platform team, you will design and build the foundational infrastructure that powers Docusign's next generation of intelligent systems. You ...

IUNU

Applied Machine Learning Engineer

Seattle, WA · On-site

They are seeking an Applied Machine Learning Engineer to develop products for their clients and the greenhouse industry, focusing on creating machine learning models and retraining systems.

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role in delivering AI-powered features that extract meaningful insights from PitchBook's wealth of ...

Apple

Machine Learning Engineer

Seattle, WA

$171K - $302K/yr

Description Apple's Video Computer Vision (VCV) Face and Body technologies team is looking for a skilled Machine Learning Engineer with experience developing ML models for computer vision and ...

Hive

Machine Learning Engineer

Seattle, WA

$120K - $180K/yr

Machine Learning Role In order to execute our vision, we need to grow our team of best-in-class machine learning engineers. We are looking for developers who are excited about staying at the ...

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All JobsMachine Learning Engineer Apprenticeship JobsMachine Learning Engineer Apprenticeship Jobs in Seattle, WA

Machine Learning Engineer Apprenticeship information

See Seattle, WA salary details

$34.7K

$78.1K

$131.4K

How much do machine learning engineer apprenticeship jobs pay per year?

As of Jun 12, 2026, the average yearly pay for machine learning engineer apprenticeship in Seattle, WA is $78,088.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $84,800.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer Apprenticeship?

A Machine Learning Engineer Apprenticeship is a structured training program that combines hands-on work experience with classroom or online learning in the field of machine learning. Apprentices work under the guidance of experienced professionals to develop skills in data analysis, building machine learning models, and deploying algorithms in real-world applications. This apprenticeship is ideal for individuals seeking to enter the field of artificial intelligence without prior extensive experience, as it provides practical training and mentorship. Typically, apprenticeships last from several months to a couple of years and may lead to full-time employment upon successful completion.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Apprentice, and why are they important?

To thrive as a Machine Learning Engineer Apprentice, a solid understanding of mathematics, programming (especially Python), and foundational machine learning concepts is essential, often supported by coursework or a degree in computer science or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and the ability to collaborate and communicate complex ideas clearly are valuable soft skills. These abilities are crucial for efficiently developing, testing, and deploying machine learning models while contributing effectively to team projects.

What types of projects can I expect to work on during a Machine Learning Engineer Apprenticeship?

As a Machine Learning Engineer Apprentice, you can expect to participate in hands-on projects that involve data preprocessing, building and evaluating machine learning models, and collaborating with cross-functional teams such as data scientists and software engineers. Common projects may include developing recommendation systems, automating data analysis tasks, or implementing natural language processing solutions. These experiences provide valuable exposure to real-world datasets and industry-standard tools, helping you build foundational skills for a long-term career in machine learning.
What are popular job titles related to Machine Learning Engineer Apprenticeship jobs in Seattle, WA? For Machine Learning Engineer Apprenticeship jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Apprenticeship jobs in Seattle, WA look for? The top searched job categories for Machine Learning Engineer Apprenticeship jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Machine Learning Engineer Apprenticeship jobs? Cities near Seattle, WA with the most Machine Learning Engineer Apprenticeship job openings:
Machine Learning Engineer Apprenticeship jobs near you
Infographic showing various Machine Learning Engineer Apprenticeship job openings in Seattle, WA as of June 2026, with employment types broken down into 5% Internship, 83% Full Time, and 12% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $78,088 per year, or $37.5 per hour.
Machine Learning Engineer

Machine Learning Engineer

DocuSign

Seattle, WA

Other

Medical, Retirement, PTO

Posted 14 days ago

Job description

Machine Learning Engineer

As a Machine Learning Engineer on the AI Platform team, you will design and build the foundational infrastructure that powers Docusign's next generation of intelligent systems. You will bridge the gap between core AI research and production-grade engineering, developing scalable platforms for autonomous agents, advanced retrieval systems, and automated model optimization. This position is an individual contributor role reporting to the Director, Machine Learning Engineering.

Responsibilities include:

  • Build and maintain high-performance distributed systems to support large-scale model inference and data processing
  • Design frameworks for multi-agent systems, focusing on state management, reliability, and long-running autonomous workflows
  • Architect sophisticated Retrieval-Augmented Generation (RAG) pipelines and advanced context management strategies to improve model accuracy and relevance
  • Develop platform-level tools for automated prompt engineering, evaluation, and optimization to accelerate the AI development lifecycle
  • Implement robust ML pipelines, focusing on observability, versioning, and the seamless deployment of generative AI services

Basic requirements include:

  • 5+ years of experience in machine learning engineering, software engineering, or related operational roles
  • Experience in software engineering with a focus on distributed systems and scalable backend architecture
  • Deep understanding of the ML lifecycle, from data ingestion and training to production monitoring
  • Experience building with LLMs, including RAG architectures and sophisticated prompt engineering
  • Experience deploying and maintaining ML models in high-traffic, production environments
  • Expertise in Python and experience with modern ML frameworks such as PyTorch

Preferred requirements include:

  • Experience with distributed task queues or stateful workflow engines for managing complex, multi-step AI processes
  • Experience with frameworks designed for horizontal scaling of compute-intensive ML workloads
  • Experience designing "agent-loop" architectures that involve tool-use, self-correction, and multi-step reasoning
  • Familiarity with vector storage systems and high-throughput data processing pipelines

Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience. Global benefits provide options for paid time off, paid parental leave, full health benefits plans, retirement plans, learning and development, and compassionate care leave.

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