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Junior Machine Learning Jobs in Maple Valley, WA

Amazon

Sr. SDE, EC2 Nitro Networking

Seattle, WA · On-site

$139K - $183K/yr

... 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

Sr. SDE, EC2 Nitro Networking

Seattle, WA

$139K - $183K/yr

... 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

Research Scientist III - AMZ10061595

Seattle, WA · On-site

$164K - $215K/yr

Develop and apply state of the art machine learning methods to large, multi source datasets to ... Mentor and coach junior scientists, including through lunch-and-learn sessions, tech talks, and ...

Weyerhauser Co

Principal Data Scientist

Seattle, WA · On-site

Mentor junior team members and contribute to data science standards, reusable patterns, and best practices. Qualifications * 10+ years of experience developing and deploying machine learning and AI ...

Walmart

Senior, Data Scientist

Seattle, WA · On-site

The team consists of collaborative data scientists and machine learning engineers skilled in ... Mentor junior team members on analytical methods, coding best practices, and business context ...

Vizio

Senior, Data Scientist

Kent, WA · On-site

$108K - $216K/yr

The team consists of collaborative data scientists and machine learning engineers skilled in ... Mentor junior team members on analytical methods, coding best practices, and business context ...

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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

Senior Applied Scientist, Last Mile Delivery Automation

Amazon

Bellevue, WA

$103K - $141K/yr

Full-time

Re-posted 21 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

We are seeking a Senior Applied Scientist to drive innovation in machine learning and artificial intelligence for Amazon's autonomous delivery systems. In this role, you will develop novel algorithms and models that power our autonomous vehicle perception, prediction, and decision-making systems. You will combine rigorous scientific methodology with practical engineering to solve complex problems in real-world autonomous navigation and delivery.
Key job responsibilities
- Design and develop advanced machine learning models and algorithms for autonomous vehicle systems
- Lead research initiatives in areas such as computer vision, sensor fusion, behavioral prediction, and path planning
- Transform research concepts into production-ready solutions that meet strict safety and performance requirements
- Develop novel approaches to solve complex technical challenges in autonomous navigation
- Create and implement metrics and evaluation frameworks to measure model performance
- Collaborate with engineering teams to integrate ML solutions into the autonomous vehicle stack
- Publish research findings and represent Amazon at technical conferences
- Mentor junior scientists and contribute to building a culture of scientific excellence
A day in the life
A typical day for a Senior Applied Scientist begins with analyzing experimental results from recent model deployments

They might spend the morning developing new deep learning architectures for sensor fusion or improving prediction models for pedestrian behavior. Mid-day could involve collaborating with engineering teams to optimize model performance and reduce inference latency. Afternoon activities might include designing experiments to validate new approaches, reviewing research papers for potential application, and participating in technical discussions to solve challenging problems in perception or planning.

They would regularly engage in code reviews, documentation of methods, and mentoring of team members. The role requires balancing innovative research with practical implementation, ensuring that scientific advances translate into reliable autonomous system capabilities.
About the team
The Applied Science team within Amazon's Last Mile Delivery Automation organization focuses on developing cutting-edge machine learning solutions for autonomous systems. We work at the intersection of computer vision, deep learning, robotics, and control systems to create robust and scalable algorithms that enable safe autonomous operation

Our team combines expertise from diverse scientific backgrounds to tackle fundamental challenges in perception, prediction, and decision-making. We collaborate closely with software engineering teams to deploy our solutions across Amazon's autonomous delivery fleet.
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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

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