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Machine Learning Engineer Intern Jobs in Seattle, WA

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 ...

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 ...

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 ...

Machine Learning Engineer

Seattle, WA ยท On-site

$205K - $316.40K/yr

Machine Learning Engineer At Quizlet, our mission is to help every learner achieve their outcomes in the most effective and delightful way. We're a $1B+ learning platform used by two-thirds of U.S ...

Machine Learning Engineer

Seattle, WA ยท On-site

$171.60K - $302.20K/yr

Machine Learning Engineer Our team delivers algorithms that power Apple Vision Pro's Eyesight, Persona and other VisionOS technologies. In this position, you will be part of our extraordinary team of ...

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 ...

Machine Learning Engineer

Seattle, WA ยท On-site

$150.50K - $208K/yr

Machine Learning Engineer Seattle, Washington, United States LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven ...

About This Role As a Machine Learning Engineer, you will play a critical role on a team of engineers that drive new CV, LLM, VLM, and Agentic AI development for LiveView Technologies. You will be ...

Machine Learning Engineer

Seattle, WA ยท On-site

$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 ...

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer ...

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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Machine Learning Engineer Intern information

See Seattle, WA salary details

$29K

$48.5K

$100.2K

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

As of May 28, 2026, the average yearly pay for machine learning engineer intern in Seattle, WA is $48,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,400.00 per year, depending on experience, location, and employer.

What is a Machine Learning Engineer Intern job?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

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

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What types of projects and tasks do Machine Learning Engineer Interns typically work on?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.
What are the most commonly searched types of Machine Learning Engineer jobs in Seattle, WA? The most popular types of Machine Learning Engineer jobs in Seattle, WA are:
What job categories do people searching Machine Learning Engineer Intern jobs in Seattle, WA look for? The top searched job categories for Machine Learning Engineer Intern jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Machine Learning Engineer Intern jobs? Cities near Seattle, WA with the most Machine Learning Engineer Intern job openings:
Infographic showing various Machine Learning Engineer Intern job openings in Seattle, WA as of May 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 69% Physical, 1% Hybrid, and 30% Remote job distribution, with an average salary of $48,489 per year, or $23.3 per hour.

Machine Learning Engineer

Alignerr

Seattle, WA โ€ข Remote

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

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 problems? We're looking for Machine Learning Engineers to help train cutting-edge AI by demonstrating exactly how a skilled technical mind approaches and executes sophisticated challenges - step by step.
This is a fully remote, flexible contract role built for experienced ML and engineering professionals. You won't be building models from scratch - you'll be teaching them how to think by producing the high-quality reasoning data they learn from.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week
What You'll Do
  • Construct precise, well-structured logical workflows that demonstrate expert-level problem-solving for complex technical challenges
  • Document sequential reasoning processes - how a problem is broken down, what tools are selected, and why decisions are made at each step
  • Generate high-quality training datasets that model proficient tool use, strategic thinking, and sound technical judgment
  • Audit and refine AI-generated reasoning traces, identifying gaps, errors, or flawed logic
  • Translate intricate technical processes into clear, structured formats that AI systems can learn from effectively
Who You Are
  • Experienced in machine learning, software engineering, or a closely related technical discipline
  • Able to articulate complex reasoning and multi-step problem-solving processes clearly and precisely
  • A sharp critical thinker who can evaluate whether a chain of logic is sound - and improve it when it isn't
  • Detail-oriented and consistent, with a methodical approach to structured work
  • Comfortable working independently and asynchronously in a remote environment
Nice to Have
  • Master's degree or PhD in Machine Learning, Computer Science, Engineering, or a related field
  • Prior experience with data annotation, data quality assurance, or AI evaluation workflows
  • Familiarity with large language models (LLMs) and how they are trained or fine-tuned
  • Background in technical writing, documentation, or instructional design
Why Join Us
  • Work alongside leading AI research labs on genuinely frontier AI projects
  • Fully remote and flexible - structure your hours around your life, not the other way around
  • Freelance autonomy with access to meaningful, intellectually stimulating work
  • Build deep, practical insight into how the world's most advanced AI models are trained
  • Potential for ongoing work and contract extension as new projects launch