20 Best Machine Learning Engineer jobs in Seattle, WA (Hiring Now!)

Software Engineer Senior - Machine Learning
FIS Global —Seattle, WA
Excellent communication and collaboration skills to influence both technical and non-technical stakeholders. Develop, deploy, and scale machine learning models…
Estimated: $129K - $163K a year
Senior Data Scientist I
FIS Global —Seattle, WA
A master’s in Statistics, Computer Science, Math, Physics or a related field. Excellent communication and collaboration skills to influence both technical and…
Estimated: $127K - $161K a year
Machine Learning Scientist II
Expedia Partner Solutions —Seattle, WA
0-2 years of relevant experience with a bachelor’s degree and/or master’s degree in a related field with demonstrated project or research experience.
Up to $179,000 a year
16h
Machine Learning Engineer
Adidev Technologies Inc —Seattle, WA
Degree in Computer Science, Engineering, Statistics, or a related technical field. Execute comprehensive data analysis, including preprocessing, feature…
Estimated: $119K - $151K a year
Quick Apply
21h
Automation Engineer (Robotics)
Quality Theorem —Bellevue, WA
Bachelor's degree in Electrical Engineering, Mechanical Engineering, Computer Science, or a related field. 2-5 years of experience in automation engineering,…
$73,860.13 - $119,949.83 a year
Quick Apply
2d
Staff Machine Learning Engineer - AI Fabric
GE HEALTHCARE —Bellevue, WA
Master’s Degree in a “STEM” major (Science, Technology, Engineering, Mathematics) or equivalent field plus 5 years AI development for industrial applications in…
$178,296 - $267,444 a year
Software Engineer I
Chewy —Bellevue, WA
As a member of the engineering team, you will work with product, design, and data scientists to help design, develop and implement your solutions.
Estimated: $87.9K - $111K a year
1d
Staff Software Engineer, Machine Learning/Gen AI, Chrome
Google —Seattle, WA
Master’s degree or PhD in Engineering, Computer Science, or a related technical field. We're looking for engineers who bring fresh ideas from all areas,…
2d
AIML - ML Engineer, Machine Learning Platform & Infra
Apple —Seattle, WA
5+ years of experience leading and driving complex, ambiguous projects. Build tools to understand bottlenecks in Inference for different hardwares and use cases…
$161,700 - $284,900 a year
6d
AIML - Platform, Principal Machine Learning Engineer
Apple —Seattle, WA
As a principal machine learning engineer in the machine learning platform team, you will collaborate with ML engineers, software engineers, and product managers…
$189,800 - $284,900 a year
AI Engineer
TerraPower —Bellevue, WA
Bachelor's degree in computer science, computational Linguistics, or a related field. Have a good intuition for when off-the-shelf solutions will work, but…
$95,414 - $143,122 a year
Quick Apply
Machine Learning Engineer III
Chewy —Bellevue, WA
Effectively communicate complex technical concepts and insights to both technical and non-technical stakeholders. Ability to travel up to 10% of the time.
Estimated: $145K - $183K a year
Machine Learning Researcher, Multimodal Foundation Models
Apple —Seattle, WA
You will be responsible for designing, implementing, evaluating foundation models based on the latest advancements in the fields, taking into account future…
$161,700 - $284,900 a year
Senior AI Safety Researcher - AI Red Team
Microsoft —Redmond, WA
The Microsoft Security organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology…
$117,200 - $229,200 a year
2h
Machine Learning Engineer II, Intl. Seller Growth
Amazon.com Services LLC —Seattle, WA
2+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.
From $129,300 a year
1d
Software Engineer II - Reserve Logistics
Uber —Seattle, WA
Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics or related field OR 1-year full-time Software Engineering work experience, WHICH…
$158,000 a year
6d
Software Engineer II
Microsoft —Redmond, WA
Bachelor's Degree in Computer Science, or related technical discipline AND 2+ years technical. We are looking for people with experiences working with all…
$98,300 - $193,200 a year
23h
Automation Applications Engineer
3MD Inc. —Redmond, WA
Participate in internal and customer design reviews, installations, and service calls when needed. The design, development, documentation, analysis, creation,…
$85,000 - $120,000 a year
Quick Apply
2d
AIML - Sr. Machine Learning Engineer, Search Language Understanding - Siri & Information Intelligence (SII)
Apple —Seattle, WA
This role will have the opportunity to initiate and lead exciting projects to further the state of language understanding at Apple, and use data science,…
$161,700 - $284,900 a year
Sr. Staff Machine Learning Engineer
Uber —Seattle, WA
This critical role is responsible for leading the technical vision and hands-on implementation of an adversarial machine learning problem.
$252,000 a year

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Software Engineer Senior - Machine Learning

FIS Global - Seattle, WA

Apply Now

Job Details

Full-time Estimated: $129K - $163K a year

Qualifications

CI/CD
Azure
Go
Doctoral degree
Computer Science
Enterprise software
DevOps
Git
Google Cloud Platform
Snowflake
Java
Master's degree
AWS
Bachelor's degree
Machine learning
Data management
Doctor of Philosophy
Mentoring
Financial services
AI
Project leadership
Leadership
2 years
Communication skills
Python

Full Job Description

Position Type :

Full time

Type Of Hire :

Experienced (relevant combo of work and education)

Travel Percentage :

1 - 5%

Job Description

As the world works and lives faster, FIS is leading the way. Our fintech solutions touch nearly every market, company and person on the planet. Our teams are inclusive and diverse. Our colleagues work together and celebrate together. If you want to advance the world of fintech, we’d like to ask you: Are you FIS?

About the team:

FIS technology processes more than $40 Trillion per year and enables 95% of the world’s leading banks. Our Fraud Intelligence team is on the cutting edge of data science and machine learning technology that detects and prevents fraud on a global scale. As a Machine Learning Data Engineer, you will tackle challenges ranging from identity theft to credit card fraud, to money laundering, and more. The technology you build will protect individuals, businesses and financial institutions from fraudsters ranging from individuals up to multinational organized crime rings. The fraud prevention space is fast-paced and rapidly changing. You will work cross-discipline with data scientists, analytics, product, and more. Our ideal candidate not only brings technical skills to the table but has the appetite to dig into deeply complex problems, while learning new skills along the way. We are leading the way and leveraging our wealth of data to create best-in-class solutions.

About the role:

We are looking for a Senior Machine Learning Engineer to help us build a brand-new financial technology platform for the future. We look for people who operate like owners, who loves to learn, have grit, and operate with integrity and empathy. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out — and set you apart. We welcome diverse perspectives and people who are not afraid to challenge assumptions.

Note: We have a hybrid work environment in our Seattle/Bellevue, office unless the role or business dictates otherwise.

What you will be doing:

Understand business objectives, product requirements and develop ML algorithms that achieve them.
Build Prototypes, and proof of concepts to determine feasibility, then drive data-based decisions.
Run experiments to assess performance and improvements.
Provide ideas and alternatives to drive a product/feature.
Define data and feature validation strategies.
Deploy models to production systems and operate them including monitoring and troubleshooting
Design, build, and manage the data pipelines and infrastructure that collect, store, and process large volumes of transactional and customer data from various sources.
Develop, deploy, and scale machine learning models and applications in production and lower environments
Ensure data quality, security and availability for the data, notebooks, models, experiments, and applications.
Integrate ML models with the SaaS platform and other services and tools, such as the model registry, feature store, data lake, and event streams.
Collaborate with data scientists to develop and test machine learning models.
Drive code reviews to ensure code quality, maintainability, and adherence to coding standards.
Provide live on-call support by participating in the team on-call rotation and owning production issues from root cause analysis to resolution to future prevention.
Partner with cross-functional teams (engineering, product, design, security, compliance etc.) to bring ideas to life
Build secure, robust, scalable, and performant systems for processing transactions and managing customer data.

What you will need:

At a minimum, a Bachelor's in CS or equivalent education and either 2+ years of relevant professional experience or advanced degree such as a master’s or PhD.
Experience leading projects from architectural design to production, while setting and maintaining high standards of technical excellence across your team.
Effective communication and collaboration skills, and a history of collaborating effectively with your team and cross-functional stakeholders.
Excellent communication and cross-functional collaboration skills to thrive in a fast-paced environment.
Experience with data management, data, and build pipelines.
Experience with building and deploying machine learning models.
Experience with AWS, Snowflake, Databricks or similar technologies.

Added bonus if you have:

Typical qualifications for the role are 5+ years of relevant professional experience or a combination of work experience and advanced education.
Deep expertise in at least one area of Machine Learning and AI.
Experience with financial services data sources.
Experience with MLflow and Feast or other Feature Stores is helpful.
Proficiency in modern development frameworks and languages. (e.g., Java, Python, Go).
Proven ability to self-direct your technical work and scope projects effectively.
Experience leading and mentoring junior engineers.
Excellent communication and collaboration skills to influence both technical and non-technical stakeholders.
Experience with cloud platforms (AWS, Azure, GCP).
Experience with version control systems (Git), and DevOps practices like continuous integration and continuous delivery (CI/CD).
A strong understanding of security best practices for building enterprise applications.

What we offer you:

At FIS, we hire the best. In return, you receive exceptional benefits including:

Opportunities to innovate in fintech.
Tools for personal and professional growth.
Inclusive and diverse work environment.
Resources to invest in your community.
Competitive salary and benefits.

#Atelio

FIS is committed to providing its employees with an exciting career opportunity and competitive compensation. The pay range for this full-time position is $115,590.00 - $194,180.00 and reflects the minimum and maximum target for new hire salaries for this position based on the posted role, level, and location. Within the range, actual individual starting pay is determined additional factors, including job-related skills, experience, and relevant education or training. Any changes in work location will also impact actual individual starting pay. Please consult with your recruiter about the specific salary range for your preferred location during the hiring process.

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

EEOC Statement

FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here supplement document available here

For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

#pridepass

Apply Now

Machine Learning Engineer jobs in Seattle, WA

Software Engineer Senior - Machine Learning

Senior Data Scientist I

Machine Learning Scientist II

Machine Learning Engineer

Automation Engineer (Robotics)

Staff Machine Learning Engineer - AI Fabric

Software Engineer I

Staff Software Engineer, Machine Learning/Gen AI, Chrome

AIML - ML Engineer, Machine Learning Platform & Infra

AIML - Platform, Principal Machine Learning Engineer

AI Engineer

Machine Learning Engineer III

Machine Learning Researcher, Multimodal Foundation Models

Senior AI Safety Researcher - AI Red Team

Machine Learning Engineer II, Intl. Seller Growth

Software Engineer II - Reserve Logistics

Software Engineer II

Automation Applications Engineer

AIML - Sr. Machine Learning Engineer, Search Language Understanding - Siri & Information Intelligence (SII)

Sr. Staff Machine Learning Engineer

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