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Junior Machine Learning Engineer Jobs in Renton, WA

... Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and ... mentoring junior scientists. * Deploy solutions at Chewy scale improving overall customer ...

Staff Machine Learning Engineer

Bellevue, WA · On-site

$186.50K - $297.50K/yr

... Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and ... mentoring junior scientists. * Deploy solutions at Chewy scale improving overall customer ...

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 ... mentoring junior scientists. * Deploy solutions at Chewy scale improving overall customer ...

At Chewy, Sponsored Ads team is looking for a Senior Machine Learning Engineer to help launch ... mentoring junior scientists. * Deploy solutions at Chewy scale improving overall customer ...

Sr. Machine Learning Engineer 4

Seattle, WA · On-site

$118.90K - $163.30K/yr

Mentor junior engineers and help grow the team's technical depth. What You Need to Succeed Required Qualifications * Master's or Ph.D. in Computer Science, Machine Learning, or a related technical ...

Who you are Metropolis is seeking a Machine Learning Engineer to develop and expand our revenue forecasting and dynamic pricing systems. This position is part of the machine learning team within the ...

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 ...

Staff Machine Learning Engineer 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 ...

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 ...

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

... junior engineers through their journey to become better. Responsibilities * Interface closely with product management, engineering, devops, labeling, and sales teams to build roadmap in supporting ...

Staff Machine Learning Engineer 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 ...

Who you are Metropolis is seeking a Machine Learning Engineer to develop and expand our revenue forecasting and dynamic pricing systems. This position is part of the machine learning team within the ...

Machine Learning Manager

Seattle, WA · On-site

$180K - $250K/yr

... junior engineers through their journey to become better. Responsibilities * Interface closely with product management, engineering, devops, labeling, and sales teams to build roadmap in supporting ...

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Junior Machine Learning Engineer information

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$80.8K

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How much do junior machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for junior machine learning engineer in Renton, WA is $80,762.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,600.00 and $90,000.00 per year, depending on experience, location, and employer.

What Does a Junior Machine Learning Engineer Do?

As a junior machine learning engineer, you work in AI, performing research with algorithms and data modeling techniques. Machine learning involves using large collections of data to create systems that are capable of making predictions, and in this field, your duties and responsibilities revolve around using advanced mathematics to design applications for use in everything from stock trading to sports betting. Some machine learning efforts involve images, and this branch of the field is known as computer vision, while other techniques which focus on text are called natural language processing (NLP). Given these divisions, titles in machine learning include computer vision engineer, NLP scientist, or simply research scientist.

What are the key skills and qualifications needed to thrive as a Junior Machine Learning Engineer, and why are they important?

To succeed as a Junior Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of algorithms and statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks such as TensorFlow or PyTorch and tools like scikit-learn, as well as experience with version control systems like Git, are typically required. Strong problem-solving abilities, attention to detail, and a willingness to learn from feedback are valuable soft skills that help you adapt and grow in the field. These skills ensure you can effectively develop, test, and improve machine learning models while collaborating with more experienced engineers and contributing to team projects.

What kinds of projects and responsibilities can a Junior Machine Learning Engineer expect in their first year on the job?

As a Junior Machine Learning Engineer, you’ll typically work on tasks such as data preprocessing, building and testing simple models, and supporting more senior engineers in deploying machine learning solutions. Your responsibilities may also include cleaning datasets, implementing basic algorithms, and running experiments to evaluate model performance. You’ll often collaborate closely with data scientists, software engineers, and product teams to understand project goals and learn best practices. The role provides excellent opportunities to develop your technical skills, gain exposure to various stages of the ML pipeline, and gradually take on more complex projects as you grow.

What is the difference between Junior Machine Learning Engineer vs Data Scientist?

AspectJunior Machine Learning EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or higher in CS, Statistics, or related; often advanced certifications
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, statistical modeling, interpreting data insights
Employer & Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, tech, consulting
Search & Comparison IntentYesYes

While both roles involve working with data and machine learning, Junior Machine Learning Engineers focus on building and deploying models, often with coding and engineering skills. Data Scientists analyze data, create statistical models, and interpret insights. The roles overlap but differ mainly in their core responsibilities and skill emphasis.

What are the most commonly searched types of Machine Learning Engineer jobs in Renton, WA? The most popular types of Machine Learning Engineer jobs in Renton, WA are:
What are popular job titles related to Junior Machine Learning Engineer jobs in Renton, WA? For Junior Machine Learning Engineer jobs in Renton, WA, the most frequently searched job titles are:
What job categories do people searching Junior Machine Learning Engineer jobs in Renton, WA look for? The top searched job categories for Junior Machine Learning Engineer jobs in Renton, WA are:
What cities near Renton, WA are hiring for Junior Machine Learning Engineer jobs? Cities near Renton, WA with the most Junior Machine Learning Engineer job openings:
Infographic showing various Junior Machine Learning Engineer job openings in Renton, WA as of May 2026, with employment types broken down into 76% Full Time, 11% Part Time, 4% Temporary, 7% Contract, and 2% Nights. Highlights an 72% Physical, 5% Hybrid, and 23% Remote job distribution, with an average salary of $80,762 per year, or $38.8 per hour.
Staff Machine Learning Engineer

Staff Machine Learning Engineer

Chewy

Bellevue, WA

$186.50K - $297.50K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Chewy rating

6.9

Company rating: 6.9 out of 10

Based on 216 frontline employees who took The Breakroom Quiz

9th of 39 rated national retailers


Job description

Job Description:

Our Opportunity:

Advertising is a critical component of the ecommerce ecosystem and provides a critical revenue stream to the company.  At Chewy, our Sponsored Ads Technology team based out of Bellevue, WA is looking for a Staff Machine Learning Engineer to help launch various innovative ads-offerings for Chewy onsite and offsite sponsored ads. 

As a member to the Sponsored Advertising team, you’ll be part of core technical team and will influence technical strategy across product search and discovery, relevance and ranking, prediction, and auction of large selection of sponsored ads offering onsite and offsite. You’ll be at forefront of driving technology driven business impact. Machine learning and deep-learning models will influence selection, relevance, ranking, click-through prediction modelling, auction-dynamics, keywords recommendation, campaign optimization, ads channel performance, ads performance maximization and wide array of engaging data-science latest methodologies including but not limited to LLMs and generative AI.

Sponsored Ads creates a win-win ecosystem for shoppers, brand owners and Chewy! Shoppers ("Pet Parents") are offered a range of alternate options to help them choose better and learn about new products, new brands, new promotions, and different price points. Brand owners and advertisers get to showcase their product offerings in the front row for their target audience (proud pet owners) and maximize their reach.

Come be part of the Sponsored Ads team’s impactful journey at Chewy!

What you'll do:

  • You will deploy machine learning and data-science to simplify shopping experience for pet-parents, to maximize reach and discovery of new products of Chewy vendors and helping create a win-win ecosystem.

  • Directly influence and collaborate with Product and Engineering leaders to evolve solutions using applied science to improve selection, ranking, relevance, deal-offerings, click through prediction models, dynamic bidding, and auction algorithms for Chewy onsite and offsite advertising solutions.

  • You will lead new models from ideation to experimentation, and eventually to production delivery to improve Chewy products offerings and advance applied science applications.

  • Publish research papers in leading ML/AI/Advertising conferences solving problems for scale using innovative modelling.

  • Establish high bar on model performance, establish applied-science implementation best practices and mentoring junior scientists.

  • Deploy solutions at Chewy scale improving overall customer engagement and value for Pet Parents.

  • Formalizing proposals and communicating verbally and in writing to Chewy Senior Leadership and business customers with varying levels of technical knowledge, educating them about our research, as well as sharing insights and recommendations.

What You'll Need:

  • An advanced degree (M.S., PhD, or equivalent experience) in Operations Research, Statistics, Applied Mathematics, Data Science or related field or proven experience for at least 3 years designing optimization and machine learning solutions for large scale applications.

  • 8+ years of experience working in Machine Learning

  • Ability to understand and apply sophisticated mathematics and DS methodologies.

  • Experience in building distributed pipeline, tuning, optimizing and evaluation.

  • Experience with Sponsored Ads or Advertisement domain.

  • Experience with multiple techniques that include Predictive Models (Time Series and Regression), Linear Programming, and Classification, Search, Ranking or large-scale embeddings.

  • Ability to translate complex data sets and research into simple business recommendations.

Bonus:

  • Experience in e-commerce or retail.

  • Prior experience in Advertising systems a huge plus.

  • Experience with ML Services in AWS (SageMaker, Personalize) or equivalent.

Chewy is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

If you have a question regarding your application, please contact HR@chewy.com.

To access Chewy's Customer Privacy Policy, please click here. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

The base salary range for this role is $186,500 - $297,500.

  • The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. 

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. 

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

The base salary range for this role is $186,500 - $265,000.00.
  • The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.

We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. 

Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations. 

Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com.

To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.


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About Chewy

Sourced by ZipRecruiter

Chewy is a prominent player in the e-commerce industry, specifically dedicated to pet owners. Based in Dania Beach, Florida, the company was founded in 2011 with the aim to make pet shopping easier and more convenient. Chewy offers a wide range of products including pet food, toys, and other pet-related essentials from over 1,000 trusted brands, along with prescription food and medications from certified veterinarians. The company stands out for its dedication to providing 24/7 customer service and shipping orders over $49 for free. Chewy's mission is to be the most trusted and convenient online destination for pet parents everywhere by committed to delivering pet happiness.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Plantation, FL, US

Year founded

2011