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Entry Level Machine Learning Engineer Jobs in Tacoma, WA

Scowtt Inc

Machine Learning Engineer I

Seattle, WA

$100K - $150K/yr

About the Role We are looking for a motivated, entry-level Machine Learning Engineer to help build, train, and deploy ML models that power our Marketing AI and AI Sales Agent products. This role is ...

Scowtt Inc

Machine Learning Engineer I

Seattle, WA · On-site

$100K - $150K/yr

About the Role We are looking for a motivated, entry-level Machine Learning Engineer to help build, train, and deploy ML models that power our Marketing AI and AI Sales Agent products. This role is ...

MORSE Corp

Machine Learning Engineer

Seattle, WA · On-site

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer ...

Hive

Machine Learning Engineer

Seattle, WA

$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 ...

Hive

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 ...

Vilya

Machine Learning Engineer

Seattle, WA · On-site

$154K - $174K/yr

... Machine Learning Engineer to help us build a highly-scalable computational drug discovery platform. Vilya is a team-first organization, and we believe onsite work is essential to how we collaborate ...

MORSE Corp

Machine Learning Engineer

Seattle, WA · On-site

$90K - $210K/yr

We are seeking a Machine Learning Engineer to join our team at MORSE. You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive ...

Orchard Robotics

Machine Learning Engineer

Seattle, WA · On-site

$135K - $210K/yr

We are looking for a Machine Learning Engineer to build creative, practical, and robust solutions to ML/CV software and infrastructure problems , relating to training edge ML models on massive ...

Apple

AIML - Machine Learning Engineer, MIND

Seattle, WA

$139.50K - $258.10K/yr

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the ...

Chewy

Staff Machine Learning Engineer

Bellevue, WA · On-site

$186.50K - $265K/yr

At Chewy, Sponsored Ads team is looking for a Senior Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite sponsored ads. As a member to the Sponsored ...

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Entry Level Machine Learning Engineer information

See Tacoma, WA salary details

$32.2K

$74.5K

$126.7K

How much do entry level machine learning engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for entry level machine learning engineer in Tacoma, WA is $74,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,300.00 and $84,300.00 per year, depending on experience, location, and employer.

What is an Entry Level Machine Learning Engineer job?

An Entry Level Machine Learning Engineer is responsible for developing, testing, and deploying machine learning models under the guidance of senior engineers. They work with datasets, implement algorithms, and optimize model performance. Their role often involves data preprocessing, feature engineering, and collaborating with data scientists and software engineers. Strong programming skills in Python, knowledge of ML frameworks like TensorFlow or PyTorch, and an understanding of statistics and algorithms are essential. This position serves as a foundation for building expertise in artificial intelligence and data-driven decision-making.

What are the key skills and qualifications needed to thrive in the Entry Level Machine Learning Engineer position, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid understanding of machine learning algorithms, programming languages like Python, and a degree in computer science, engineering, or a related field. Familiarity with tools such as TensorFlow, PyTorch, scikit-learn, and version control systems like Git is highly valuable, and completing online courses or certifications can further demonstrate your skills. Strong analytical thinking, attention to detail, and effective communication are important soft skills in this role. These abilities are essential because they enable you to build accurate models, work collaboratively with teams, and communicate insights to stakeholders.

What are some typical projects or tasks an Entry Level Machine Learning Engineer might work on?

As an Entry Level Machine Learning Engineer, you’ll often work on tasks such as data preprocessing, feature engineering, and assisting in training and evaluating models under the guidance of senior engineers or data scientists. You may help develop prototypes, automate data collection pipelines, and collaborate with software engineers to integrate machine learning solutions into products. Working in this role typically involves frequent collaboration in a team environment, participating in code reviews, and learning best practices for scalable model deployment. These foundational experiences are designed to build your technical expertise and set the stage for future growth within the field.
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Entry Level Machine Learning Engineer jobs near you
Infographic showing various Entry Level Machine Learning Engineer job openings in Tacoma, WA as of May 2026, with employment types broken down into 1% Internship, 88% Full Time, 9% Part Time, 1% Contract, and 1% Nights. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $74,490 per year, or $35.8 per hour.

Machine Learning Engineer I

Scowtt Inc

Seattle, WA

$100K - $150K/yr

Other

Posted 4 days ago

Job description

About Scowtt

Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully autonomous sales experiences. By integrating CRM, web signals, and product interaction data into a real-time conversion model, we help businesses turn interest into action-immediately. We're growing fast, and onboarding new customers quickly and cleanly is core to our success.

About the Role

We are looking for a motivated, entry-level Machine Learning Engineer to help build, train, and deploy ML models that power our Marketing AI and AI Sales Agent products. This role is ideal for new graduates or early-career engineers who want hands-on experience working on real ML systems in a fast-paced, collaborative startup environment.

What You'll Do
  • Assist in training, evaluating, and deploying ML models
  • Work with structured and behavioral data used in marketing and sales systems
  • Help automate and maintain data and ML pipelines
  • Collaborate with engineers to integrate ML models into AI agents
  • Debug, optimize, and improve model and pipeline performance
  • Learn how ML systems operate in real production environments (cloud, monitoring, iteration)
  • Follow and enforce security best practices, including secure coding, proper handling of sensitive data, authentication/authorization controls, and compliance with company security policies.

Qualifications:

Must Have

  • Bachelor's degree in Computer Science, ML, Data Science, or equivalent
  • 1-3 years of experience in data structures, algorithms
  • 1-3 years of experience with machine learning concepts and workflows
  • 1-3 years of experience in coding using Python with demonstrated strong coding skills

Should Have

  • Exposure to ML frameworks through coursework, projects, or internships
  • Curiosity, ownership mindset, and eagerness to learn

Nice to Have

  • Hands-on project or internship experience with real datasets
  • Exposure to cloud platforms (GCP or AWS)
  • Familiarity with tools like BigQuery, notebooks, or basic data pipelines
What Success Looks Like
  • You contribute to shipping ML models with guidance
  • You learn to debug data and model issues
  • You steadily increase independence and ownership
  • You build strong foundations in applied ML engineering

Pay range and compensation package

Based on the level hired at, the cash compensation for this role ranges between $100,000 to $150,000. Selected candidate/s will be eligible for standard benefits and startup equity.

 
Equal Opportunity & E-Verify Employer
 
Scowtt is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We are committed to providing a workplace free of discrimination and harassment.
 
This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. For more information, please visit www.e-verify.gov.
 

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