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Remote Machine Learning Jobs in Seattle, WA (NOW HIRING)

Build and improve the continuous learning pipeline so new models ship weekly with minimal manual engineering effort. * Define functional acceptance criteria for CV accuracy per customer and track ...

Bellevue, WA Remote Work100% Primary SkillsAWS Cloud Formation * MLOps Engineer to work on AWS ... Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data ...

Senior Software Engineer - Remote

Seattle, WA · Remote

$139K - $183K/yr

Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI ... Familiarity with modern AI or machine learning systems is a plus, though not required. * Background ...

Showing results 21-40

Remote Machine Learning information

See Seattle, WA salary details

$29K

$48.5K

$100.1K

How much do remote machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote machine learning in Seattle, WA is $48,461.00, according to ZipRecruiter salary data. Most workers in this role earn between $37,000.00 and $52,300.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

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 Remote Machine Learning jobs in Seattle, WA?

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

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

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

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

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

Infographic showing various Remote 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 $48,461 per year, or $23.3 per hour.

Senior Machine Learning Engineer, Sponsored Ads

Chewy

Bellevue, WA • On-site, Remote

$148K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago


Chewy rating

6.9

Company rating: 6.9 out of 10

Based on 227 frontline employees who took The Breakroom Quiz

9th of 39 rated national retailers


Job description

Your Opportunity:

Advertising is a critical component of the ecommerce ecosystem and provides a critical revenue stream to the company.  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 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 atleast 3 years designing optimization and machine learning solutions for large scale applications.

  • 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.

The base salary range for this role is $148,500 - $225,000.00.
  • 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