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Entry Level Machine Learning Jobs in Seattle, WA

Entry Level Repair Technician

Fife, WA

$19.50 - $26.75/hr

Are you interested in learning a new set of skills, and working in a new industry? Do you have a ... BPI Medical, also known as Ben's Precision Instruments, was founded by a machinist-craftsman from ...

Entry Level Repair Technician

Fife, WA · On-site

$19.50 - $26.75/hr

Are you interested in learning a new set of skills, and working in a new industry? Do you have a ... BPI Medical, also known as Ben's Precision Instruments, was founded by a machinist-craftsman from ...

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 ...

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 ...

Since 2012, we've used data, machine learning, and a more human approach to create flexible ... will train entry level candidates with less experience - must have high levels of people ...

Since 2012, we've used data, machine learning, and a more human approach to create flexible ... will train entry level candidates with less experience - must have high levels of people ...

Now hiring Entry-Level Production Associates to support machine operations and learn the ropes to ... • Learning machine operation and basic maintenance Schedule: • Rotating Schedule: Monday ...

Showing results 41-60

Entry Level Machine Learning information

See Seattle, WA salary details

$13

$19

$24

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

As of Aug 19, 2026, the average hourly pay for entry level machine learning in Seattle, WA is $19.88, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $21.63 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 Seattle, WA?

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

What are popular job titles related to Entry Level Machine Learning jobs in Seattle, WA?

For Entry Level Machine Learning jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Entry Level Machine Learning jobs in Seattle, WA look for?

The top searched job categories for Entry Level Machine Learning jobs in Seattle, WA are:

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

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

Infographic showing various Entry Level Machine Learning job openings in Seattle, WA as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $41,340 per year, or $19.9 per hour.

Marine Mechanical Engineer Entry Level - Seattle, WA

Glosten

Seattle, WA • On-site

$40 - $41.50/hr

Full-time

Medical, Dental, Retirement, PTO

Re-posted 4 days ago


Job description

Glosten is seeking junior or entry-level marine mechanical engineers to join our marine engineering group in Seattle, WA, Bellingham, WA, or Providence, RI. Glosten is a naval architecture and marine engineering firm that has served the marine industry for over 60 years. We work in teams to accomplish exciting projects in a stimulating, fast-paced, and collegial environment.
We are an employee-owned company drawn to unique and challenging marine projects. We have grown steadily and deliberately to a team of 120 employees who are ready to solve complex problems and think outside the box. We continuously strive to improve our business practices and technical performance to better serve the industry. We believe the secret to our success is our talented team and our culture of mutual respect and cooperation.
Job Description
Glosten marine mechanical engineers design propulsion drivetrains, supporting auxiliary systems, life support, and safety systems for all manner of vessels. Advances in modeling methods and reality capture allow us to develop full 3D machinery plant designs inside virtual ships. Mechanical systems are more tightly integrated to modern control and automation systems than ever before. Continuing initiatives for emissions reductions and efficiency improvements are driving the development of marine vessels. Join us in developing the next generation of ships.
We are looking for candidates who:
  • Are passionate about the maritime industry.
  • Thrive in a culture of collaboration, innovation, and integrity.
  • Are committed to client service, including taking on our clients' problems as our own, becoming the clients' advocate, and cultivating long-term client relationships.
  • Demonstrate excellent written, verbal, and graphical communication.
  • Are motivated to identify and pursue internal and external professional growth opportunities, including areas outside their specific discipline.

Education and Certification:
  • Minimum Bachelor's degree in one of the following: marine engineering, naval architecture, mechanical engineering, or electrical engineering.
  • Coursework or other experience with marine systems, piping system design, and/or vessel operations is a plus.
  • Engineer-in-Training certification is preferred.

Requirements:
  • Basic knowledge of fluid mechanics, thermodynamics, and power train principles.
  • General knowledge of shipboard systems.
  • Proficiency in AutoCAD, Rhino3D, or equivalent CAD program.
  • Proficiency with Microsoft Office software packages.
  • Excellent written and spoken English language skills.
  • Must be authorized to work in the United States. Due to project restrictions, Glosten will only consider applicants with unrestricted access to work in the United States or those eligible for TN visas.
  • Some travel and fieldwork are required. Some project assignments may require a valid driver's license, current passport, and/or TWIC card.

Benefits
Glosten offers a comprehensive benefits package including medical/dental coverage, paid time off, tuition reimbursement, bonus and profit-sharing plans, and a 401(k) plan.
Glosten is proud to provide equal employment opportunity to all employees and applicants for employment. To provide equal employment and advancement opportunities to all, employment decisions will be based on merit, qualifications, and abilities. Glosten does not discriminate in employment opportunities or practices on the basis of race, color, sex, age, religion, national origin, handicap, disability, sexual orientation, or veteran status in accordance with applicable state and federal laws.
We are passionate about building and sustaining an inclusive and equitable working and learning environment for all associates. We believe every member on our team enriches our diversity by exposing us to a broad range of ways to understand and engage with the world, identify challenges, and to discover, design and deliver solutions.
We encourage women, minorities, veterans, and individuals with disabilities to apply for this position.
Visit our website ( ) and our social media pages to learn more about who we are, our projects and clients, and what is happening at Glosten.
Application Instructions:
Interested applicants can apply via our applicant center using the pane on the right side of this page. To be considered for this position, you'll need to submit the following items:
  • Cover letter
  • Resume
  • Transcripts (either official or unofficial will be accepted)

Applications missing any of these documents will not be considered.