Top Software Engineer Jobs in Seattle, WA
Responsible for architecting and engineering Snowflake environments to support application developers. Tasks include maintaining platform standards, optimizing data usage, collaborating with teams, enhancing platform features, and managing Snowflake releases while supporting user communities and technical documentation.
The Platform Software Development Lead will guide a team in creating and managing advanced engineering products for analytics, machine learning, and data management. Responsibilities include leading development processes, collaborating with stakeholders, improving microservices, and mentoring the team on various technologies within the cloud ecosystem.
The Director, Analytics and Data Platform Delivery leads teams in managing and delivering analytic/data platforms, ensuring alignment with Pfizer's strategic vision. Responsibilities include overseeing design, security, compliance, and financial management of data technologies while fostering innovation and collaboration with senior leadership and external partners.
The Manager will assist clients in adapting to digital technologies by implementing Oracle solutions. They will lead a team, addressing complex business issues, coaching others, and analyzing various stakeholder inputs to develop effective solutions, while upholding ethical standards.
As a Senior Associate, you will be part of a team that addresses complex business issues, focusing on functional and industry technologies. Responsibilities include defining and implementing enterprise system integrations, conducting usability testing, and ensuring quality and accuracy in deliverables. You will also engage in personal development and coaching others to foster a collaborative environment.
As an Applied AI Scientist at ZS, you'll develop algorithms for large dimensional problems, apply statistical and data mining techniques on large datasets, evaluate new data technologies, and contribute to thought leadership through research. You'll work in a collaborative environment focused on transforming global healthcare.
As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale algorithms for massive data sets, and enhance ML platforms. Your responsibilities include implementing ML Ops, writing production-ready code, collaborating with teams, and researching new technologies.
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Seeking a Solutions Architect for the Insurance Professional Sales Experience portfolio within the Distribution domain. Responsibilities include developing technology roadmaps, providing architecture guidance, and working with various engineering teams to optimize non-functional requirements.
The Senior Data Engineer at CoreWeave will architect and manage data storage and processing infrastructure for analytics and data science, ensuring scalability and security. Responsibilities include building frameworks for big data technology and optimizing system performance while collaborating across teams to meet business goals.
As an Associate Director of Data Science, you will develop and implement algorithms to solve complex supply chain issues, use machine learning and operations research, and collaborate with various supply chain functions to optimize operations. You will drive strategic planning initiatives and lead analytics teams for continual improvement in processes and metrics.
As a Principal Engineer in ML/AI, you will lead technical efforts across teams, drive product development, set engineering standards, and provide mentorship while collaborating closely with various stakeholders to enhance and innovate financial services.
The role involves supporting product sales as a technical consultant, guiding revenue generation, conducting customer discovery workshops, and providing product demonstrations. Responsibilities also include developing client relationships, providing feedback for product enhancements, and participating in marketing events.
As a Senior AI Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, focusing on training and tuning deep learning models and evaluating large language models while working on data collection and feature engineering.
As a Machine Learning Engineer, you will design, implement, and maintain large-scale AI/ML pipelines, tune and evaluate models, and develop evaluation frameworks and metrics. Your role includes building and evaluating deep learning models and transformer-based models, working collaboratively within an AI engineering team.
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As a Senior Machine Learning Engineer, you will design, develop, and deploy advanced computer vision models for applications like object detection and video analytics. You will optimize models for performance, mentor junior members, and collaborate with cross-functional teams to deliver scalable end-to-end solutions.
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