Top Machine Learning Engineer Jobs in Seattle, WA
Work as an Applied Machine Learning Engineer at Atlassian, responsible for developing and implementing cutting-edge machine learning algorithms, training models, and collaborating with product and engineering teams to integrate AI functionalities into Atlassian products.
As a Principal Machine Learning engineer at Atlassian, you will drive the development and implementation of cutting edge machine learning algorithms, collaborating with various teams to integrate AI functionalities into Atlassian products. Responsibilities include designing architectures, conducting experiments, and guiding emerging ML engineers.
Seeking a Senior Principal Machine Learning Engineer to lead the development and deployment of advanced machine learning algorithms and system architecture. Responsible for training complex models, integrating AI functionalities into products, and mentoring ML engineers.
Join Dropbox as a Machine Learning Engineer to shape the future direction of the organization, build large-scale ML systems, personalize user experiences, and impact millions of users with innovative AI solutions.
Snap Inc. is seeking a Machine Learning Engineer to create models driving value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building robust products. The engineer should have a strong understanding of machine learning algorithms and frameworks, prioritize duties, and collaborate effectively with internal and external partners.
Snap Inc is seeking a Machine Learning Engineer with 5+ years of experience to create models driving value for users, advertisers, and the company. Responsibilities include evaluating technical tradeoffs, performing code reviews, and building scalable products. Required skills include strong understanding of machine learning algorithms, ability to prioritize tasks, collaboration skills, and problem-solving abilities.
As a Senior/Staff Machine Learning Engineer at Rokt, you will design, build, and productionize proprietary machine learning models to solve various business challenges. Collaborate with product managers and engineers, maintain code quality, track emerging tech trends, and share knowledge through tech talks and best practices evangelism.
Anduril Industries is seeking a Computer Vision / Machine Learning Engineer to apply the latest research to develop innovative solutions for robotics systems. The position requires expertise in Python, deep learning frameworks, computer vision algorithms, and model deployment for real-time applications.
Featured Jobs
Build and deploy ML models for identity resolution and ads attribution. Collaborate with cross-functional teams to align on ML strategies. Stay updated with the latest ML technology and solve complex problems. Ensure code quality and build scalable products.
Deploy machine learning and data-science to simplify shopping experience for pet-parents and maximize reach and discovery of new products. Lead development of new models and advance applied science applications. Publish research papers and mentor junior scientists. Establish high-performance standards and deploy solutions at scale to improve customer engagement and value.
Building, orchestrating, and monitoring model pipelines, scaling machine learning algorithms, enhancing ML Engineering platforms, implementing ML Ops, writing production-ready code, collaborating with teams, and staying updated on the latest technologies.
The Applied Scientist III will design, develop, and implement machine learning models for various applications, as well as research and implement state-of-the-art algorithms. They will also collaborate with cross-functional teams and provide technical guidance.
Create models to drive value for users, advertisers, and the company. Evaluate technical tradeoffs, perform code reviews, build lasting products, and iterate quickly without compromising quality. Strong collaboration and mentorship skills are required.
Drive the technical roadmap of Ad Marketplace and Pacing teams, design and implement machine learning models, collaborate with cross-functional teams, stay up-to-date with the latest technology, provide technical direction, and advocate for best practices.
Design, implement, and scale critical machine learning components and services for Snap's strategic initiatives. Develop a next-generation training framework, optimize model performance, and create an AutoML platform. Collaborate across teams to deliver innovative products and advocate for best practices in availability, scalability, and cost management. Provide technical direction influencing the entire company.
Drive the technical roadmap of the Ad Ranking team, design and scale machine learning models, collaborate with cross-functional teams, stay updated with latest ML technology, advocate for best practices, and provide technical direction.
Propose and prototype innovative solutions using the latest techniques in computer vision and machine learning. Develop and maintain core libraries, integrate classical and geometric methods with ML, and work on system performance analysis. Requires US Security Clearance and relocation to Costa Mesa, CA.
Lead Machine Learning Engineer responsible for developing and maintaining Hulu's recommendation algorithms. Collaborate with various teams to achieve strategic personalization goals. Lead algorithm development, optimization, and roadmap setting for product areas. Responsibilities include algorithm development, feature engineering, collaboration with stakeholders, and maintaining development best practices.
As a Senior Machine Learning Engineer at Atlassian, you will work on developing and implementing cutting-edge machine learning algorithms, training models, and collaborating with product and engineering teams. You will design system architectures, conduct model evaluations, and guide junior ML engineers to integrate AI functionalities into Atlassian products.
Develop and maintain automated data solutions, support shared consumer data platform, analyze and model data, collaborate with team, optimize data pipelines and systems, mentor team members, engage in dialectics.
As a Machine Learning Engineer, you will analyze opportunities, propose ideas, train and evaluate ML models, run experiments, and deploy solutions to production. You will contribute to ML architecture and be part of the ML community at Stripe. Responsibilities include improving performance, evaluating systems, and ensuring model quality. Minimum requirements include 5 years of end-to-end ML development experience, an advanced degree in a quantitative field, and proficiency in Python, Scala, and Spark.
Conduct foundational research into solutions for analyzing data using natural language and integrating them into products. Develop and deploy AI models, implement ML infrastructure, and contribute to AI community through research and open-source projects.
Design and build platforms and services for machine learning systems to improve transaction efficiency on Stripe. Collaborate with various teams to deliver impactful product values to customers. Mentor junior engineers in their technical growth.
As a Machine Learning Engineer at Stripe's Payments ML Accelerator team, you will design and build scalable platforms and services, deploy advanced ML applications, and collaborate with data scientists to build ML models for payment products. Minimum requirements include 5 years of industry experience in end-to-end ML development and an advanced degree in a quantitative field.
Senior Machine Learning Software Engineer at Dropbox, responsible for designing, building, evaluating, and deploying large-scale ML systems. Collaborate with cross-functional teams to personalize user experiences and drive impactful outcomes. Requires strong industry experience and software engineering skills in Python, Go, and C/C++.
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