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The Staff Machine Learning Engineer will develop and implement AI/ML models, collaborating with cross-functional teams to drive innovations for Twilio's Efficiency Engineering team. Responsibilities include deploying machine learning models, integrating enterprise data sources, and leveraging advanced technologies, especially for AI solutions that meet diverse customer needs.
The Quantitative Software Engineer will design and implement strategies for managing risk and optimizing DeFi protocols. Responsibilities include developing tools, building data pipelines, refining data models, and collaborating to develop new features, all while staying abreast of industry trends and innovations.
The Development Architect will define, design, and implement software architecture for the Digital team, collaborating with product management and engineering. Responsibilities include creating technical designs for enterprise software, leading software development projects, researching technologies, and ensuring applications are integrated effectively to support supply chain operations.
As a Backend Software Engineer at Parse.ly, you will develop and maintain large-scale data systems, write code in Python, and analyze extensive datasets while ensuring high performance and uptime. You will collaborate with the team on product ideas and handle on-call duties.
The Principal Software Engineer will build and maintain the Cube Core, generate and optimize SQL queries, and develop the Cube Cloud product. Responsibilities include working on high-load analytics infrastructure, database algorithms, and providing community support. The role requires expertise in Rust and database structures.
As a Staff Software Engineer in Applied AI, you will develop and optimize AI-driven solutions for a healthcare automation platform. You will innovate using latest AI techniques, collaborate with other engineers to address business needs, integrate AI features into production, and optimize existing solutions for performance.
The Senior/Team Lead NLP Engineer will enhance ML service architecture, optimize model training processes, and improve communication relevance between bots and users. The role involves managing AI processes, preparing training data, and overseeing team workflows, focusing on conversational AI applications.
As a Senior Search Engineer, you'll optimize and scale search infrastructure using Elasticsearch, focusing on performance, scalability, and relevance tuning. Responsibilities include improving query performance, implementing caching strategies, designing efficient indexing, and developing custom search APIs. You'll also work on complex search quality challenges and tuning algorithms.
The Databricks Engineer will be responsible for building, optimizing, and maintaining data analytics solutions using Azure Databricks, providing technical expertise, collaborating on business requirements, implementing DevOps practices, and ensuring security adherence in production.
The Sr. Software Engineer II will develop and maintain Kotlin and Java-based backend components, focusing on building scalable services, microservices with AWS, and ensuring operational health of product features. Responsibilities include writing efficient code, leading and mentoring engineers, and participating in the entire development life cycle.
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