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Entry Level Machine Learning Jobs in Kirkland, WA

ADP

Entry Level Outside Sales

Seattle, WA · On-site

We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We believe our people make all the ...

ADP

Entry Level Outside Sales

Seattle, WA · On-site

We are a global leader in human resources technology, offering the latest AI and machine learning-enhanced payroll, tax, human resources, benefits, and much more. We believe our people make all the ...

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All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Kirkland, WA

Entry Level Machine Learning information

See Kirkland, WA salary details

$13

$19

$24

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

As of Aug 9, 2026, the average hourly pay for entry level machine learning in Kirkland, WA is $19.86, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $21.59 per hour, depending on experience, location, and employer.

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.

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 or entry-level positions can provide practical 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.

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.

More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Kirkland, WA? The most popular types of Machine Learning jobs in Kirkland, WA are:
What are popular job titles related to Entry Level Machine Learning jobs in Kirkland, WA? For Entry Level Machine Learning jobs in Kirkland, WA, the most frequently searched job titles are:
What cities near Kirkland, WA are hiring for Entry Level Machine Learning jobs? Cities near Kirkland, WA with the most Entry Level Machine Learning job openings:
Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Kirkland, WA as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $41,302 per year, or $19.9 per hour.

Boeing Summer 2027 Internship Program (Paid) - Data Analytics Intern

Boeing

Auburn, WA

$16.50 - $21.75/hr

Full-time

Medical, Life, Retirement

Posted 4 days ago

Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 612 frontline employees who took The Breakroom Quiz

31st of 537 rated manufacturers

Job description

Boeing Summer 2027 Internship Program (Paid) - Data Analytics Intern

Company:

Launch your career with Boeing, celebrated by WayUp as a Top 100 Internship Program in the US for 2026! We are seeking motivated, enthusiastic, and innovative students to join our 2027 intern program.

Boeing is the world's largest aerospace company and leading manufacturer of commercial jetliners, defense, space and security systems, and service provider of aftermarket support. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and build something better for yourself, for our customers and for the world.

In more than 65 countries, you'll find our people working on advances like remarkable aircraft comprised mostly of composite materials. Versatile and powerful jet fighters and rotorcraft that explore new uses of technology. Aircraft powered by hydrogen and biofuels. And even blended wing body and hybrid-electric aircraft.

Boeing has shaped the course of human history through aerospace innovations. Today, because of our amazing people and powerful technologies, our products connect the globe, protect freedom, and advance scientific discovery around the world. From the depths of the ocean, to Mars and beyond, we're inspiring the next century of explorers - we invite you to join us on the journey ahead!

Boeing Analytics is looking for talented and motivated students to assist in delivering best-in-class technological solutions to our business, our partners, and our customers. During the Summer Intern Program, you will be assigned projects that expand on the skills you have developed at school. This summer experience engages each intern in challenging and meaningful work that goes beyond the job. Opportunities are offered in a variety of disciplines including Data Science, Data Analytics, Machine Learning, Artificial Intelligence (AI), and Software.

As an intern at Boeing, you'll gain hands-on experience, learn from experts, and collaborate with teams that do truly amazing things.
Over the course of our 10-12-week internship experience you will have the opportunity to:

  • Work directly with a mentor in your field of study while finding solutions to real world problems
  • Experience our products up close by touring our state-of-the-art manufacturing and research facilities
  • Interact directly with our company leaders to discuss strategy and the future of Boeing
  • Build a lasting professional network through social events and engaging activities
  • Gain the skills and knowledge to become a future leader in the aerospace industry

To learn more about internship opportunities, visit our College & Entry Level page. Click the link: https://jobs.boeing.com/it-internships

Some of these positions are hybrid. This means that the selected candidate will be required to perform some work onsite at one of the listed location options. This is at the hiring team's discretion and could potentially change in the future.

Some of thesepositions have been identified as virtual opportunities and do not require applicants to live in close proximity toa Boeing facility.

Some of thesepositionsare expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options.

Some of these positions must meet Export Control compliance requirements, therefore a "US Person" as defined by 22 C.F.R. 120.15 is required. "US Person" includes US Citizen, lawful permanent resident, refugee, or asylee.

Employer not willing to sponsor applicants for employment visa status.

Basic Qualifications (Required Skill/Experience):

  • Ability to work full-time for 10-12 weeks during Summer 2027
  • Currently an enrolled student attending a college or university with an expected graduation date on or after August 2027

Preferred Qualifications (Desired Skills/Experience):

  • Strong academic performance (GPA of 3.0 or above)
  • Passion for the aerospace industry and interest and enthusiasm for a career with Boeing

Relocation

Some of these positions offer relocation based on eligibility.

Drug Free Workplace

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Shift

These positions are for first shift.

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

Summary Pay Range: $44,000 - $89,000

Language Requirements:

Not Applicable

Education:

Not Applicable

Relocation:

This position offers relocation based on candidate eligibility.

Export Control Requirement:

Safety Sensitive:

Security Clearance:

This position does not require a Security Clearance.

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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