Top Remote Machine Learning Engineer Jobs in Seattle, WA

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.

Play a major part in building AI and Machine Learning solutions to transform user experience and workflow efficiency of enterprise services. Responsible for developing and implementing key machine learning models, facilitating ML data preparation and scoring, and supporting the ML strategy for the Enterprise Data Platform.

As a Machine Learning Engineer at Stripe, you will design, train, improve, and launch machine learning models using various tools. You will propose ideas to impact the company's top line metrics, collaborate with stakeholders, and drive end-to-end projects involving multiple technologies.

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.

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++.

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.

Design and build scalable ML platforms, deploy advanced ML applications, and collaborate with data scientists to build ML models for Stripe's Payments ML Accelerator team.

The Senior Machine Learning Engineer II in Perception at Cruise will work on developing sophisticated machine learning algorithms for perception in autonomous vehicles, focusing on road safety for Vulnerable Road Users (VRUs) and innovative solutions to enhance autonomous vehicle technology. Responsibilities include exploring new algorithms, refining on-road performance, supporting hardware projects, and ensuring high engineering quality.