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Entry Level Machine Learning Jobs in Bellevue, WA

Shot Peen Operator

Seattle, WA · On-site

$21.30 - $23/hr

Determine usage of different machines according to customer requirements * Anticipate and overcome ... Applied Learning - Ability to participate in needed learning activities in a way that makes the ...

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Machine Learning information

See Bellevue, WA salary details

$13

$19

$24

How much do entry level machine learning jobs pay per hour?

As of Aug 31, 2026, the average hourly pay for entry level machine learning in Bellevue, WA is $19.71, according to ZipRecruiter salary data. Most workers in this role earn between $17.64 and $21.44 per hour, depending on experience, location, and employer.

What are entry level machine learning jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What types of projects can an entry level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What are the key skills and qualifications needed to thrive as an entry level machine learning engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio. Internships, certifications, and participating in competitions like Kaggle can also improve your chances of entering the field without prior experience.

What are the most commonly searched types of Machine Learning jobs in Bellevue, WA?

The most popular types of Machine Learning jobs in Bellevue, WA are:

What cities near Bellevue, WA are hiring for Entry Level Machine Learning jobs?

Cities near Bellevue, WA with the most Entry Level Machine Learning job openings:

Infographic showing various Entry Level Machine Learning job openings in Bellevue, WA as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 27% Part Time, and 1% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $41,000 per year, or $19.7 per hour.

Dish Machine Operator (Entry Level)

Point Casino & Hotel

Kingston, WA

$16.50 - $20.25/hr

Full-time

Posted 13 days ago


Job description

The Dish Machine Operator is an essential member of the Food & Beverage Customer Service Team. They will be responsible for the back of house meeting regulations and that their team can fulfill orders in a timely manner.

As an entry-level opportunity at the organization, we're proud to offer training and mentorship to grow your career!

How You'll Make an Impact:

  • Support F&B Back of House Team Members to keep the kitchen areas (refrigerator, freezer, stove, dishwasher, and preparation area) are clean, stocked, and ready for cooking.
  • Open to learning new skillsets and motivated to being promoted: preparation of food, quality control of refrigerated/freezer items, and cooking.

What We're Looking For:

  • High School Diploma/GED
  • Desire to grow career and learn new skills.
  • Ability to obtain Gaming License.
  • Must be at least 18 years old to apply. (Enrolled tribal youth at least 16 can apply.)

Good to Have, But Not Required:

  • Previous experience working in the Food & Beverage Industry at a Casino and/or Hotel.
  • Washington State Food Handler's Permit (must be willing to obtain within 30 days of employment).