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No Experience Machine Learning Jobs in Renton, WA

3MD Inc.

Automation Applications Engineer

Redmond, WA · On-site

$130K - $140K/yr

Apply experience in AWS Machine Learning or similar environments to enhance automation intelligence Maintenance and Repair: * Conduct regular maintenance checks on automation equipment, including ...

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA

$139.40K - $183.80K/yr

... of experienced engineers excites and challenges you. You will leverage your technical ... A background in Machine Learning and AI accelerators is preferred, but not required. In order to be ...

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA · On-site

$139.40K - $183.80K/yr

... of experienced engineers excites and challenges you. You will leverage your technical ... A background in Machine Learning and AI accelerators is preferred, but not required. In order to be ...

Amazon

Senior Machine Learning Compiler Engineer

Seattle, WA

$139.40K - $183.80K/yr

... of experienced engineers excites and challenges you. You will leverage your technical ... A background in Machine Learning and AI accelerators is preferred, but not required. In order to be ...

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No Experience Machine Learning information

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$15

$25

$34

How much do no experience machine learning jobs pay per hour?

As of May 31, 2026, the average hourly pay for no experience machine learning in Renton, WA is $25.67, according to ZipRecruiter salary data. Most workers in this role earn between $22.16 and $28.65 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the No Experience Machine Learning position and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

What are the key skills and qualifications needed to thrive in the No Experience Machine Learning position, and why are they important?

To thrive in an entry-level machine learning role with no prior experience, you should possess a solid understanding of mathematics (especially statistics and linear algebra), basic programming knowledge (often in Python), and a willingness to learn. Familiarity with popular data science tools and frameworks such as scikit-learn, TensorFlow, or online courses and certifications in machine learning is advantageous. Curiosity, problem-solving abilities, and effective communication are soft skills that help you work collaboratively and adapt to new challenges. These attributes are important because they enable quick learning, help you contribute to team projects, and support your growth in a rapidly evolving technical field.

What kinds of projects or learning opportunities can I expect in a no experience machine learning role?

In a no experience machine learning role, you will often start by assisting with data preprocessing, exploring datasets, and supporting more experienced engineers on real-world projects. You may also participate in internal trainings, mentorship programs, or hands-on workshops to build up your technical skills. Collaboration is common, so expect regular team meetings and opportunities to pair-program or seek guidance from senior colleagues. Over time, as you gain proficiency, you may be assigned small-scale projects or research tasks, providing a clear pathway to take on more complex responsibilities. This supportive environment is designed to help you gradually develop expertise and advance your career in machine learning.
More about No Experience Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Renton, WA? The most popular types of Machine Learning jobs in Renton, WA are:
What are popular job titles related to No Experience Machine Learning jobs in Renton, WA? For No Experience Machine Learning jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching No Experience Machine Learning jobs in Renton, WA look for? The top searched job categories for No Experience Machine Learning jobs in Renton, WA are:
What cities near Renton, WA are hiring for No Experience Machine Learning jobs? Cities near Renton, WA with the most No Experience Machine Learning job openings:
No Experience Machine Learning jobs near you
Infographic showing various No Experience Machine Learning job openings in Renton, WA as of May 2026, with employment types broken down into 67% Full Time, 29% Part Time, 3% Temporary, and 1% Nights. Highlights an 33% Physical, 4% Hybrid, and 63% Remote job distribution, with an average salary of $53,393 per year, or $25.7 per hour.
Senior Software Engineer, Machine Learning

Senior Software Engineer, Machine Learning

ZipRecruiter

Seattle, WA • Remote

$140K - $225K/yr

Full-time

Retirement, PTO

Posted 18 days ago

Job description

We offer a hybrid work environment. Most US-based positions can also be performed remotely (any exceptions will be noted in the Minimum Qualifications below.)

Our Mission:

To actively connect people to their next great opportunity.

Who We Are:

ZipRecruiter is a leading online employment marketplace. Powered by AI-driven smart matching technology, the company actively connects millions of all-sized businesses and job seekers through innovative mobile, web, and email services, as well as through partnerships with the best job boards on the web. ZipRecruiter has the #1 rated job search app on iOS & Android.

Summary:

At ZipRecruiter, where a universe of data, brimming with over a billion archived job postings, tens of millions of dynamic job seekers, and countless impression and click events, there's plenty of opportunities for innovation. Here, your experience will be put to work crafting new, data-driven features that impact the lives of millions, connecting them to their dream jobs.

We're tackling exciting challenges: imagine developing a system that can predict salaries for new job postings, using a training set of job postings and known salaries. But the fun doesn't stop at model-building. Our work involves an immersive dive into data - gathering, cleaning, analyzing, and extracting meaningful insights.

Key Focuses:

  • Design, develop, and maintain machine learning models and algorithms to solve complex business problems
  • Identify patterns, trends, and anomalies in the data, and visualize insights using appropriate tools
  • Assess the performance of machine learning models using appropriate metrics, validation techniques, and testing datasets
  • Discover opportunities to optimize models by fine-tuning hyperparameters, feature selection, or employing regularization techniques to improve accuracy, performance, and scalability
Minimum Qualifications:
  • 3+ year of professional software development experience with a focus in machine learning
  • Deep experience in machine learning algorithms, techniques, and best practices
  • Comprehensive computer science fundamentals in coding, object-oriented programming, data structures, and algorithms

Preferred Qualifications:

  • 5+ year of professional software development experience with a focus in machine learning
  • BS/MS/PhD in Mathematics, Computer Science, Physics, related technical field or equivalent practical experience
  • Strong knowledge of machine learning algorithms (e.g., linear regression, SVM, decision trees, neural networks, clustering, etc.) and best practices
  • Experience with machine learning algorithms and frameworks, such as TensorFlow, PyTorch, or scikit-learn
  • Experience with deep learning architectures and techniques, such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Long Short-Term Memory (LSTM), and Generative Adversarial Networks (GANs)
  • Background with NLP techniques and tools, such as tokenization, stemming, lemmatization, sentiment analysis, and named entity recognition, and libraries like NLTK, SpaCy, or BERT

As part of our team you'll enjoy:

  • Competitive compensation
  • Exceptional benefits package
  • Flexible Vacation & Paid Time Off
  • Employer-matched 401(k) plan

#LI-Remote

The US base salary range for this full-time position is $140,000-$225,000. Our salary ranges are determined by role, level, and location, and the range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, role-related knowledge and skills, depth of experience, relevant education or training, and additional role-related considerations.

Depending on the position offered, equity, bonuses, commission, or other forms of compensation may also be provided as part of a total compensation package, in addition to a full range of medical, financial, and other benefits.

ZipRecruiter is proud to be an equal opportunity employer and provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity or genetics.

Privacy Notice: For information about ZipRecruiter's collection and processing of job applicant personal data for this job, please see our Privacy Notice at: https://www.ziprecruiter.com/careers/job-applicant-privacy-notice

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About ZipRecruiter

Sourced by ZipRecruiter

What started as a way to help small businesses find great candidates has grown into a leading online employment marketplace that connects millions of job seekers with companies of all sizes. Our sophisticated Al-matching technology is at the core of everything we do-and by analyzing billions of user interactions, it's always getting smarter. It improves the job search experience for millions of people every month and helps businesses of all sizes find and hire the right candidates quickly. We empower job seekers with the tools they need to stand out and get hired. Like a personal recruiter, we track down relevant opportunities in our marketplace, proactively pitch them to hiring managers at top companies, and deliver status updates along the way. We make it easier for people to find work We match businesses of all sizes with the best people for their open roles. Reaching millions of job seekers through our site, * email, and #1 rated job seeker app, we target the most qualified candidates to apply when a job goes live in our marketplace. The result? More quality candidates and reduced hiring times.

Industry

Software development

Company size

1,001 - 5,000 Employees

Headquarters location

Santa Monica, CA, US

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