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Research Machine Learning Federated Learning Jobs in Bothell, WA

Amazon

Machine Learning Engineer

Seattle, WA · On-site

What if you could build the machine learning systems that decide which ads hundreds of millions of shoppers see-across every Amazon surface, worldwide? The Sponsored Products and Brands - General ...

Capgroup

Machine Learning Engineer II

Seattle, WA · On-site

$111K - $151K/yr

... machine learning models, data pipelines, and analytical systems to significantly enhance our ... You will conduct applied research into financial modeling to help our investment professionals make ...

Factspan Inc

Machine Learning Engineer

Seattle, WA

Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysi * Requires a ...

Factspan Inc

Machine Learning Engineer

Seattle, WA · On-site

Hands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysi * Requires a ...

Adobe

Machine Learning Engineer

Seattle, WA

$93K - $125K/yr

We are looking for a Machine Learning Engineer to join our team of driven machine learning and ... Stay up to date with advancements in ML, GenAI, and prompt optimization research. * Mentor junior ...

1 point system

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills & years of experience for each:  1. Machine Learning & Applied AI Development (5-7 years) 2. Data ...

PitchBook Data

Machine Learning Engineer

Seattle, WA · On-site

As a Machine Learning Engineer (MLE) on the AI & ML (Insights) team, you will play a critical role ... Translate research findings into practical solutions that enhance PitchBook's AI capabilities

Expedia

Senior Machine Learning Scientist

Seattle, WA · Remote

$104K - $142K/yr

Senior Machine Learning Scientist The Senior Machine Learning Scientist is responsible for building ... Read and apply relevant academic and industry research to improve model architectures, training ...

Aquent

AI Engineer - Machine Learning 3

Redmond, WA · On-site +1

$80 - $90/hr

Collaborate with research teams to evaluate, adapt, and operationalize emerging AI and machine learning innovations into functional prototypes and experimental systems. * Design and execute ...

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All JobsResearch Machine Learning Federated Learning JobsResearch Machine Learning Federated Learning Jobs in Bothell, WA

Research Machine Learning Federated Learning information

See Bothell, WA salary details

$28.5K

$47.6K

$98.4K

How much do research machine learning federated learning jobs pay per year?

As of Jul 20, 2026, the average yearly pay for research machine learning federated learning in Bothell, WA is $47,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,300.00 and $51,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Researcher in Machine Learning Federated Learning, and why are they important?

To thrive as a Researcher in Machine Learning Federated Learning, you need a strong background in computer science, mathematics, and machine learning, typically supported by a relevant advanced degree (e.g., PhD or MSc). Familiarity with Python, TensorFlow, PyTorch, and distributed computing frameworks, as well as knowledge of privacy-preserving techniques and relevant research publications, is essential. Excellent analytical thinking, problem-solving abilities, and clear scientific communication are key soft skills for success in collaborative research environments. These competencies are vital to drive innovation, rigorously evaluate federated learning approaches, and advance privacy-preserving AI technologies.

What are some common challenges faced when implementing federated learning in a research environment?

One of the primary challenges in research-focused federated learning roles is ensuring data privacy and security while maintaining model performance across distributed devices. Researchers must also address issues such as handling heterogeneous data sources, communication bottlenecks between nodes, and the complexity of debugging decentralized systems. Collaborating with cross-functional teams—such as data engineers, privacy experts, and domain specialists—is vital to overcome these hurdles and drive successful outcomes. Staying updated with the latest advancements and actively contributing to open-source initiatives can also help researchers address these evolving challenges.

What is a Researcher in Machine Learning Federated Learning?

A Researcher in Machine Learning Federated Learning is a professional who investigates and develops methods to train machine learning models across multiple decentralized devices or servers, while keeping data localized and private. Their work focuses on improving algorithms, ensuring data privacy, and addressing challenges related to distributed learning, communication efficiency, and model accuracy. They often collaborate with other researchers, publish findings, and contribute to advancing technologies that make it possible to use sensitive data for AI without compromising privacy.

What is the difference between Research Machine Learning Federated Learning vs Data Scientist?

AspectResearch Machine Learning Federated LearningData Scientist
CredentialsAdvanced degrees in CS, ML, or related fields; research experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, academic institutions, tech companies focusing on privacy-preserving MLBusiness environments, analytics teams, data-driven departments
Industry UsageDeveloping federated algorithms, privacy-preserving ML modelsData analysis, modeling, reporting, and insights generation

Research Machine Learning Federated Learning specialists focus on developing privacy-preserving algorithms across distributed data sources, often in research or R&D settings. Data Scientists analyze and interpret data to inform business decisions. While both roles require strong ML knowledge, federated learning roles emphasize distributed systems and privacy, whereas Data Scientists focus on data analysis and visualization.

What job categories do people searching Research Machine Learning Federated Learning jobs in Bothell, WA look for? The top searched job categories for Research Machine Learning Federated Learning jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Research Machine Learning Federated Learning jobs? Cities near Bothell, WA with the most Research Machine Learning Federated Learning job openings:
Research Machine Learning Federated Learning jobs near you
Infographic showing various Research Machine Learning Federated Learning job openings in Bothell, WA as of July 2026, with employment types broken down into 19% Internship, 68% Full Time, and 13% Part Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $47,604 per year, or $22.9 per hour.
Machine Learning Engineer

Machine Learning Engineer

Amazon

Seattle, WA • On-site

Full-time

Posted 5 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,974 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers

Job description

What if you could build the machine learning systems that decide which ads hundreds of millions of shoppers see-across every Amazon surface, worldwide?
The Sponsored Products and Brands - General Shopping Intelligence is looking for a talented Software Engineer with a strong machine learning engineering background to help us push the boundaries of ad relevance at Amazon scale. You'll partner with engineers and scientists to build advanced ML models and infrastructure-from training to inference-including emerging LLM-based systems that connect shoppers with the most relevant ads at exactly the right moment.
We're a highly motivated, collaborative team with a strong entrepreneurial spirit and bias for action. If you thrive in fast-moving environments where your work directly drives business growth and customer experience, this is where you'll do your best work.
Key job responsibilities
As a Software Development Engineer in Machine Learning, you will:
- Design, build, and operate near-real-time (NRT) data ingestion pipelines using Apache Flink, Kinesis, and DynamoDB that process shopper behavioral signals at scale (100K+ TPS, sub-second latency)
- Develop and maintain ML feature generation services that transform raw customer interactions into ML-ready signals consumed by prediction models across Amazon Ads
- Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
- Build and improve data quality monitoring frameworks, automated alerting, and self-healing mechanisms to ensure signal reliability at 99.9%+ availability
- Collaborate with applied scientists and partner engineering teams to onboard new shopper signals, define feature schemas, and optimize serving latency for real-time ad personalization
- Contribute to system design discussions, propose technical solutions for ambiguous problems, and drive implementation end-to-end with guidance from senior engineers
A day in the life
- Highly analytical - You solve problems backed by verifiable data, driving processes, tools, and statistical methods that support rational decision-making
- Humbitious - Ambitious yet humble; you use introspection and feedback to continuously raise the bar
- Engaged by ambiguity - You explore new problem spaces with unique constraints and non-obvious solutions, quickly identifying gaps and the right people to fill them
About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond

We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

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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