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Junior Machine Learning Engineer Jobs in Bothell, 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 ...

Machine Learning Engineer

Seattle, WA · On-site +1

$164K - $266K/yr

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 ...

Machine Learning Engineer

Seattle, WA · On-site

$93K - $125K/yr

Mentor junior engineers and help grow the team's technical depth. What You Need to Succeed Required Qualifications * Master's or Ph.D. in Computer Science, Machine Learning, or a related technical ...

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 ...

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 ...

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 ...

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 · 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 ...

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 ...

Machine Learning Engineer

Seattle, WA · 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 ...

Machine Learning Engineer

Seattle, WA · 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 ...

Machine Learning Engineer

Seattle, WA · 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 ...

Senior Machine Learning Engineer In order to execute our vision, we need to grow our team of best ... Provide mentorship to and help onboard junior ML engineers * Collaborate cross-functionally with ...

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Junior Machine Learning Engineer information

See Bothell, WA salary details

$38K

$81.3K

$124K

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

As of Jun 19, 2026, the average yearly pay for junior machine learning engineer in Bothell, WA is $81,337.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,900.00 and $90,600.00 per year, depending on experience, location, and employer.

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

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What engineers make $500,000?

Senior engineers in fields such as software, data engineering, and specialized roles like machine learning engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

How much does a junior ML engineer earn?

A junior machine learning engineer typically earns between $60,000 and $90,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in developing, testing, and deploying machine learning models under the supervision of senior engineers or data scientists. Their responsibilities often include data preprocessing, feature engineering, and implementing algorithms using frameworks like TensorFlow or PyTorch. They also help maintain data pipelines and ensure models perform efficiently in production environments. This role is typically entry-level, providing valuable hands-on experience in applying machine learning concepts to real-world problems.

Which 5 jobs will survive AI?

For a Junior Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction are more likely to persist alongside AI advancements. These include jobs in healthcare, education, research, specialized technical fields, and management, where human judgment and empathy remain essential. Developing skills in domain expertise, critical thinking, and interdisciplinary knowledge can help ensure long-term employability in an evolving AI landscape.

Can I learn ML in 3 months?

Learning machine learning as a Junior Machine Learning Engineer in three months is possible for individuals with prior programming experience and a strong foundation in mathematics. Focused study on core concepts, practical projects, and familiarity with tools like Python and scikit-learn can help build foundational skills within this timeframe, but mastering advanced topics typically requires longer-term experience. Real-world proficiency often depends on ongoing practice and continuous learning beyond initial training.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What are the most commonly searched types of Machine Learning Engineer jobs in Bothell, WA? The most popular types of Machine Learning Engineer jobs in Bothell, WA are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Bothell, WA? For Junior Machine Learning Engineer jobs in Bothell, WA, the most frequently searched job titles are:
What cities near Bothell, WA are hiring for Junior Machine Learning Engineer jobs? Cities near Bothell, WA with the most Junior Machine Learning Engineer job openings:
Infographic showing various Junior Machine Learning Engineer job openings in Bothell, WA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $81,337 per year, or $39.1 per hour.

Machine Learning Engineer

Alignerr

Seattle, WA • Remote

Other

Posted 14 days ago


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