Top Hybrid Scala Jobs in San Francisco Bay Area
Build the platform for scaling the ThousandEyes platform, exposing telemetry data, building data pipelines, and microservices.
The Architect/Principal Engineer at Domino Data Lab is responsible for translating knowledge of AI/ML into strategic vision, guiding technical decisions, collaborating on product roadmap, overseeing project execution, and ensuring code quality and risk management. This role requires strong technical expertise, leadership skills, and the ability to balance multiple priorities.
Seeking a Senior AI Engineer to design and implement machine learning algorithms, preprocess data, train and evaluate models, deploy models to production, collaborate with cross-functional teams, and optimize model performance.
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Technical Lead role to drive technical strategy and execution for Platform Adoption at Asana, focusing on Asana's Developer Platform and app ecosystem. Responsibilities include setting technical strategy, advocating for engineering-driven investments, leading product engineering teams, and collaborating with cross-functional teams.
The Senior Software Engineer at Disney Entertainment & ESPN Technology will be responsible for building high-scalable microservice engines for advertising targeting, decisioning, and designing scalable distributed systems. The role involves collaborating with researchers, contributing to engineering best practices, and implementing cutting-edge technologies.
The Principal Software Engineer, Data Engineering at Roblox plays a crucial role in defining the data ontology, leading a team of Data Engineers, designing and maintaining data pipelines, and establishing best practices for data operations and lifecycle management. This role involves working closely with Data Science, Product, and Engineering teams to meet Roblox's data needs.
The Senior Software Engineer will work on data infrastructure at Reddit, building self-service solutions and supporting a growing business model. Responsibilities include collaborating with a team of software engineers, designing and delivering data solutions, implementing automation, and sharing on-call responsibilities. Applicants should have 4+ years of software engineering experience, proficiency in Python, Scala, and SQL, expertise in designing large-scale systems, and experience with cloud services and modern infrastructure.
Design scalable data processing infrastructure and improve the efficiency of the data architecture and scenario mining framework for the entire Autonomy organization.
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