Top Software Engineer Jobs in Seattle, WA
The Principal Software Engineer will oversee the lifecycle of attribution signals, design and implement scalable services, coordinate large-scale projects, and ensure operational excellence in Snap's advertising systems.
The Staff Software Engineer will design, implement, and operate ML Inference/Feature Store services for Snapchat's recommendation systems. Responsibilities include evaluating trade-offs, ensuring system availability and scalability, and collaborating across teams to deliver innovative products.
As a Software Engineering Manager, you will lead and mentor a team of full-stack engineers, managing Snap's large-scale Storage and Caching multi-cloud infrastructure, while collaborating with various stakeholders and ensuring the team's technical excellence and operational proficiency.
As a Staff Software Engineer at Rokt, you will build scalable applications, own complex product features, and collaborate with teams to deliver impactful solutions. Your role involves mentoring others and ensuring high-quality software development.
As an Engineering Manager for the New Initiatives Team, you will lead a group of engineers, manage complex engineering projects, collaborate across teams, and guide the career development of team members. You'll engage in all stages of product development and establish planning standards to drive innovation in product offerings.
The Software Development Engineer at Remitly will develop and maintain software platforms integral to the company's services while ensuring security and compliance. The role involves collaborating with internal teams to implement tools and automate practices for improved efficiency.
As a Software Development Engineer II, you will design and implement high-quality software solutions, ensuring security and compliance. You will work with deployment systems and cloud infrastructure, while testing network software systems and collaborating with internal teams to enhance developer tools.
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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.
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.
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.
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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