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Junior Aws Machine Learning Jobs in Bothell, WA (NOW HIRING)

Chewy

Senior Machine Learning Engineer

Bellevue, WA · On-site

$149K - $245K/yr

... mentoring junior scientists. * Deploy solutions at Chewy scale improving overall customer ... Experience with ML Services in AWS (SageMaker, Personalize) or equivalent. The base salary range ...

Chewy

Senior Machine Learning Engineer

Bellevue, WA · On-site +1

$149K - $245K/yr

... mentoring junior scientists. * Deploy solutions at Chewy scale improving overall customer ... Experience with ML Services in AWS (SageMaker, Personalize) or equivalent. The base salary range ...

Chewy

Staff Machine Learning Engineer

Bellevue, WA · On-site

$186K - $297K/yr

... mentoring junior scientists. * Deploy solutions at Chewy scale improving overall customer ... Experience with ML Services in AWS (SageMaker, Personalize) or equivalent. Chewy is committed to ...

Chewy

Staff Machine Learning Engineer

Bellevue, WA

$186K - $297K/yr

... mentoring junior scientists. * Deploy solutions at Chewy scale improving overall customer ... Experience with ML Services in AWS (SageMaker, Personalize) or equivalent. Chewy is committed to ...

Chewy

Staff Machine Learning Engineer

Bellevue, WA · On-site

$186K - $265K/yr

... mentoring junior scientists. * Deploy solutions at Chewy scale improving overall customer ... Experience with ML Services in AWS (SageMaker, Personalize) or equivalent. Chewy is committed to ...

Chewy

Staff Machine Learning Engineer

Bellevue, WA · On-site

$186K - $265K/yr

... mentoring junior scientists. * Deploy solutions at Chewy scale improving overall customer ... Experience with ML Services in AWS (SageMaker, Personalize) or equivalent. Chewy is committed to ...

Adobe

Sr. Machine Learning Engineer 4

Seattle, WA

$118K - $163K/yr

Mentor junior engineers and help grow the team's technical depth. What You Need to Succeed Required ... Familiarity with cloud platforms (AWS, GCP, or Azure) for scalable ML deployment. * Solid ...

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All JobsJunior Aws Machine Learning JobsJunior Aws Machine Learning Jobs in Bothell, WA

Junior Aws Machine Learning information

See Bothell, WA salary details

$52K

$105.7K

$158.7K

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

As of Jun 26, 2026, the average yearly pay for junior aws machine learning in Bothell, WA is $105,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $106,800.00 per year, depending on experience, location, and employer.

What are Junior AWS Machine Learning engineers?

Junior AWS Machine Learning engineers are entry-level professionals who work with Amazon Web Services (AWS) to develop, deploy, and maintain machine learning models. They assist in data preparation, model training, and integration of AI solutions using AWS tools such as SageMaker, Lambda, and S3. These engineers often collaborate with data scientists and software teams to implement predictive analytics and automation solutions on the AWS cloud platform. Their role typically involves learning best practices for cloud security, data handling, and scalable machine learning deployment.

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

To thrive as a Junior AWS Machine Learning Engineer, you need a solid grasp of programming (especially Python), foundational knowledge of machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with AWS services like SageMaker, Lambda, and S3, as well as certifications such as AWS Certified Machine Learning – Specialty, are highly valuable. Strong problem-solving skills, attention to detail, and the ability to communicate technical ideas clearly help you stand out in this role. These skills and qualities are crucial for efficiently developing, deploying, and maintaining machine learning solutions on AWS in collaborative, fast-paced environments.

What are some common challenges faced by Junior AWS Machine Learning Engineers when deploying models to production environments?

Junior AWS Machine Learning Engineers often encounter challenges such as managing the scalability of their models, ensuring data security and compliance in the cloud, and integrating machine learning pipelines with existing AWS services. Since production environments require high reliability, newcomers may also need to learn how to monitor model performance and troubleshoot issues using AWS tools like SageMaker and CloudWatch. Collaborating closely with data engineers and DevOps teams is essential to streamline deployment and maintain model accuracy over time.

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

AspectJunior Aws Machine LearningData Scientist
Required CredentialsBasic AWS certifications, entry-level ML knowledgeAdvanced degrees, certifications like AWS, data analysis skills
Work EnvironmentCloud platforms, machine learning projects, collaborative teamsData analysis, modeling, research, cross-functional teams
Employer & Industry UsageTech companies, startups, cloud service providersFinance, healthcare, tech, research institutions

Junior AWS Machine Learning roles focus on implementing ML models using AWS tools with foundational knowledge, while Data Scientists typically handle broader data analysis, modeling, and research tasks. The roles overlap in cloud-based ML work but differ in scope and experience level.

What are popular job titles related to Junior Aws Machine Learning jobs in Bothell, WA? For Junior Aws Machine Learning jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Junior Aws Machine Learning jobs in Bothell, WA look for? The top searched job categories for Junior Aws Machine Learning jobs in Bothell, WA are:
Junior Aws Machine Learning jobs near you
Infographic showing various Junior Aws Machine Learning job openings in Bothell, WA as of June 2026, with employment types broken down into 72% Full Time, and 28% Part Time. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $105,688 per year, or $50.8 per hour.
Sr. Machine Learning Engineer, AWS Applied AI Solution

Sr. Machine Learning Engineer, AWS Applied AI Solution

Amazon

Seattle, WA

$63 - $81/hr

Full-time

Posted 15 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,889 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

As part of the AWS Applied AI Solutions organization, our vision is to provide business applications, leveraging Amazon's unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We accelerate our customers' businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. Our team combines Amazon's real-world experience with state-of-the art AI to create opinionated, turnkey solutions that are no-brainers to buy and easy to use.
We're building applied AI solutions that businesses love and trust

Our ambition is to become the partner companies rely on to run their business every day - putting AI to work to deliver better customer experiences, operational excellence, and faster innovation. We're a fast-moving, scrappy team building a new agentic product from the ground up. If bias for action is your favorite leadership principle, you'll fit right in.
The Role
We're seeking a talented Senior Machine Learning Engineer with expertise in agentic system, production ML systems, and scalable deployment
architectures

You'll bridge the gap between state-of-art research and customer-facing products, contribute to our collaborative and innovative culture, and deliver production-ready ML solutions that raise the bar for the entire team.
What You'll Do
Work closely with Applied Scientists and cross-functional engineering teams to transform research code into robust, scalable production systems
Own end-to-end deployment at scale of Generative AI and ML methods, ensuring reliability and performance
Establish scalable, efficient, automated processes for large-scale data analysis, machine learning model development, model validation and serving
Research and implement innovative approaches for efficient model deployment, training, and optimization
Document processes and methods for both technical and non-technical audiences, ensuring knowledge transfer and best practices
Contribute to code reviews and maintain high engineering standards across the team
Mentor junior MLEs and actively participate in recruiting top talent to grow
the team
Present outcomes and explain technical approaches to senior leadership, translating complex concepts into business impact

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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