Top Remote Machine Learning Engineer Jobs in Seattle, WA
This Machine Learning Engineer role at Cash App involves building machine learning models for detecting fraudulent activity, creating better customer support experiences, and redefining credit and liquidity through simple and fair credit solutions. The role requires working with various algorithms, datasets, and technologies to improve customer safety, support automation, and underwriting processes.
This Machine Learning Engineer role at Cash App involves building machine learning models for fraud detection, customer support automation, and underwriting and credit evaluation. The focus is on using AI to understand customer behavior, enhance security measures, and improve financial services. The position requires working closely with product teams and leveraging data to create innovative solutions.
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.
Seeking a Machine Learning Architect to elevate the Machine Learning and Artificial Intelligence R&D strategy at Qualtrics. Responsibilities include designing robust AI architectures, selecting appropriate AI technologies, collaborating with cross-functional teams, and optimizing ML systems for performance and scalability.
The Staff Machine Learning Engineer role at Cruise involves driving applied ML research and development for challenges related to Perception and Object Tracking on urban roads. Responsibilities include exploring new algorithms, optimizing on-road performance, guiding technology choices, and enabling team members. Required qualifications include a PhD/MS degree in computer vision or machine learning, deep learning project experience, strong programming skills, and expertise in ML frameworks. Bonus points for a PhD in machine learning, computer vision, or robotics, and experience in deploying perception.
Develop state-of-the-art algorithms and models to enhance customer support experiences through AI tools. Collaborate with teams to understand business needs and create impactful solutions. Monitor and evaluate model performance to make necessary adjustments.
Develop and implement machine learning models for fraud detection, analyze large datasets to identify patterns related to fraudulent activities, collaborate with cross-functional teams, monitor model performance, stay updated on latest machine learning and fraud detection techniques, and prepare reports for stakeholders.
Specialist Solutions Architect (SSA) - Data Scientist/ML Engineer role at Databricks, responsible for architecting production-grade ML applications, providing technical support, collaborating with product teams, and building customer data science workloads. Requires 5+ years of industry ML experience, graduate degree in a quantitative discipline, and strong communication skills.
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As a Senior Machine Learning Engineer in Underwriting & Credit at Cash App, you will design, build, and launch credit products and features. You'll work on distributed services, solve technical problems at scale, collaborate with cross-functional teams, and contribute to the growth of development capabilities.
As a Machine Learning Engineer, you will be responsible for analyzing opportunities, training & evaluating ML models, running experiments, and deploying to production. You will contribute to ML architecture and be part of a larger community.
Looking for a Senior Machine Learning Engineer with expertise in attribution space to expand Square's measurement system by building data science and machine learning solutions. Responsibilities include working with stakeholders, partnering with third-party data providers, and staying updated on ML trends.
Senior Machine Learning Engineer specializing in data-driven attribution to fuel Square's growth. Responsible for building machine learning solutions for the next generation attribution system, collaborating with stakeholders, and staying updated on advancements in ML and data science.
Seeking a Senior Machine Learning Engineer with expertise in data-driven attribution to join the Measurement Machine Learning teams at Square. Responsibilities include building ML solutions, partnering with stakeholders for growth strategy, and staying updated on industry trends.
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 Engineer role at Square focusing on developing cutting-edge ML models and algorithms for company-wide metrics and GTM channel attribution. Responsibilities include building data science and ML solutions, partnering with stakeholders, and staying updated on advancements in the field.
Design, build, and manage distributed services and pipelines for Underwriting & Credit at Cash App. Lead multi-person projects, ensure high code quality, collaborate with various teams, and contribute to the growth of development capabilities. Remote work with a distributed team in the USA and Canada.
This role is part of our Cash App's ML team and will be deeply embedded within one of our product teams. You will experiment with various modeling techniques on our comprehensive customer data and see your solution through to production by partnering cross-functionally with finance, product, and engineering teams.
Join Block as a Senior Machine Learning Platform Engineer in the ML Foundations team. Build self-service tooling for the model lifecycle, work with internal customers, and design scalable systems for ML use cases.
Design, build, and enhance batch and real-time inference services and tooling to support Machine Learning use cases. Collaborate with cross-functional stakeholders to drive strategic roadmaps and priorities. Partner with ML modelers to encourage adoption of new tools and technologies. Have a significant impact on influencing team culture.
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++.
Looking for a Staff Machine Learning Engineer specializing in constructing and managing robust, scalable, and high-performance compute platforms tailored for ML workflows. Responsibilities include designing core platform backend software components, working on large scale initiatives, and participating in open source projects.
Develop and deploy Large Language Model solutions on customer data, provide technical mentorship, collaborate with product and engineering teams, and present at conferences. Requires 4+ years of data science experience and a graduate degree in a quantitative discipline.
Build next-generation Large Language Models for Enterprise Language Generation at ServiceNow. Use AI/ML expertise to solve real-world challenges and collaborate with a team of developers and scientists to deliver high-quality solutions to users.
Contribute to building next generation Large Language Models for Enterprise Language Generation at ServiceNow's Advanced Technology Group. Use AI/ML expertise to solve real-world challenges and collaborate with a team of developers and researchers to produce high-quality software solutions.
Seeking a Deep Learning Research Scientist passionate about expanding the limits of deep learning capabilities. Responsibilities include designing and developing generative AI systems, improving existing deep learning systems, advancing research agenda, and sharing work through open source.
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