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

... Intelligence/Machine Learning - Healthcare AI - Infrastructure Services - Firmware Development ... junior engineers and contribute to building a strong engineering culture A day in the life On a ...

... Intelligence/Machine Learning - Healthcare AI - Infrastructure Services - Firmware Development ... junior engineers and contribute to building a strong engineering culture A day in the life On a ...

... Intelligence/Machine Learning - Healthcare AI - Infrastructure Services - Firmware Development ... junior engineers and contribute to building a strong engineering culture A day in the life On a ...

... Intelligence/Machine Learning - Healthcare AI - Infrastructure Services - Firmware Development ... junior engineers and contribute to building a strong engineering culture A day in the life On a ...

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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:
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.
Senior Machine Learning Engineer, AWS Identity Analytics Platform

Senior Machine Learning Engineer, AWS Identity Analytics Platform

Amazon

Seattle, WA

$118K - $163K/yr

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

AWS Identity Analytics is re-imagining how identity data is understood, acted on, and used to protect customers at scale. We build an AI-driven analytics platform that turns 50+ PB of raw logs and metrics into proactive, actionable insights for AWS Identity leadership and core service teams - including IAM and STS. AWS teams across the organization also rely on our platform for impact analysis related to AWS Auth.


Are you excited by the prospect of analyzing and modeling petabyte-scale data and building state-of-the-art ML algorithms to solve real-world security and operational problems. Do you want to work on a platform that directly shapes how AWS Identity services evolve - and influences decisions that affect hundreds of millions of customers globally. Do you thrive in ambiguous, fast-paced environments where your ML based work drives measurable business outcomes.


This role offers unprecedented breadth in ML applications: from time-series anomaly detection and causal policy evaluation to LLM-powered analytics agents and optimization systems. You will work alongside talented engineers and product leaders in a culture that prizes initiatives, rigor, and bias for action. You'll have access to AWS-scale compute resources including access to bleeding edge AWS and Nvidia silicon in massive high-performance clusters.

What makes this role unique is the combination of ML depth with direct, observable impact: your models will surface insights that Identity leadership acts on, and the AI based solutions will change how service teams interact with data every day.
Key job responsibilities
Design, develop, and deploy end-to-end ML solutions - including anomaly detection, time-series forecasting, classification, and optimization models - that turn Identity logs, policies, and metrics into proactive, actionable insights.
Build and operate LLM-powered agents that serve as intelligent interfaces to Identity data, enabling service teams to query, explore, and act on insights conversationally.


Engineer features from petabyte-scale datasets using AWS services (Glue, Athena, EMR) and deploy models to production environments (SageMaker, ECS, EKS).
Partner with AWS Identity leadership, Product managers, IAM, STS, and other service teams to define success metrics, design experiments, validate models, and translate findings into decisions.
Stay at the forefront of innovation by applying state-of-the-art techniques in ML, deep learning, and GenAI to Identity Analytics challenges, fostering rapid experimentation and continuous learning.


Communicate complex technical concepts clearly to audiences of varying technical sophistication, including senior leadership.
Mentor junior engineers and contribute to the team's long-term technical direction. .


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