ZipRecruiter

Log In

1

Junior Machine Learning Jobs in Maple Valley, WA

Atlassian

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

As a senior Machine Learning Systems Engineer on the Search Platform team, you will own and drive ... Mentor junior engineers, contribute to design reviews, and champion engineering best practices ...

Atlassian

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

As a senior Machine Learning Systems Engineer on the Search Platform team, you will own and drive ... Mentor junior engineers, contribute to design reviews, and champion engineering best practices ...

Atlassian

Senior Machine Learning System Engineer

Seattle, WA · On-site +1

$118K - $162K/yr

Responsibilities As a senior Machine Learning Systems Engineer on the Search Platform team, you ... Mentor junior engineers, contribute to design reviews, and champion engineering best practices ...

Geico

Senior Machine Learning Engineer

Seattle, WA · On-site

$115K - $230K/yr

Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture. Basic Qualifications * 5years of experience designing and ...

Geico

Staff Machine Learning Engineer

Seattle, WA · On-site

Mentor and guide junior engineers via code reviews and design sessions, establish and enforce best practices, and foster a collaborative and high-performance team culture. Basic Qualifications * 8+ ...

Geico

Staff Machine Learning Engineer

Seattle, WA · On-site

$130K - $260K/yr

Mentor and guide junior engineers via code reviews and design sessions, fostering a collaborative and high-performance team culture, elevating AI engineering best practices across the company.

Carbon Robotics

Deep Learning Engineer

Seattle, WA

Mentor and provide technical guidance to mid-level and junior engineers * Communicate model ... Machine Learning, or a related field (or equivalent experience) In Office Requirements * We're a ...

Amazon

Senior Applied Scientist, APEX

Bellevue, WA · On-site

Basic Qualifications - PhD/MS in Computer Science, Electrical Engineering, Machine Learning ... junior scientists or engineers Key job responsibilities - Design, implement, and evaluate novel ...

Amazon

Software Engineer, EC2 Nitro

Seattle, WA

... Machine Learning, Cloud Gaming, Health, Fintech, and Video Streaming. Your work will impact ... Mentor junior engineers with scoping, design, and developing scalable and maintainable code ...

Amazon

Software Engineer, EC2 Nitro

Seattle, WA · On-site

... Machine Learning, Cloud Gaming, Health, Fintech, and Video Streaming. Your work will impact ... Mentor junior engineers with scoping, design, and developing scalable and maintainable code ...

Amazon

Applied Scientist II - AMZ9971140

Seattle, WA · On-site

$153K - $193K/yr

Mentor junior engineers and scientists. Design and implement algorithms and formal methods for ... Conduct original research at the intersection of machine learning and formal methods, including ...

previous pagenext page

Showing results 21-40

All JobsMachine Learning JobsJunior Machine Learning JobsJunior Machine Learning Jobs in Maple Valley, WA

Junior Machine Learning information

See Maple Valley, WA salary details

$8

$31

$54

How much do junior machine learning jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for junior machine learning in Maple Valley, WA is $31.18, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $38.37 per hour, depending on experience, location, and employer.

What does a junior machine learning engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What are the key skills and qualifications needed to thrive as a junior machine learning engineer?

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.

What types of projects and tasks can a junior machine learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

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

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What cities near Maple Valley, WA are hiring for Junior Machine Learning jobs?

Cities near Maple Valley, WA with the most Junior Machine Learning job openings:

Junior Machine Learning jobs near you

Sr. Machine Learning Engineer, AWS Applied AI Solution

Amazon

Seattle, WA • On-site

$63 - $81/hr

Full-time

Re-posted 12 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,111 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, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

View All Amazon Jobs

Apply