Top Scala Jobs in San Francisco Bay Area
Looking for an experienced Senior Generative AI Engineer to build and maintain APIs and SDKs for AI models at scale. Will work on designing and implementing key API products and services for real-time customer-facing applications.
Senior Manager role in Generative AI Product Engineering, leading a team to build and maintain APIs and SDKs. Work with Large-Language Models (LLMs) and Foundation Models (FMs) using public cloud infrastructure. Design and implement key API products and services, enable real-time customer-facing applications, and ensure AI safety and guardrails.
Looking for a Senior Manager to help build and maintain APIs and SDKs to train, fine-tune and access AI models at scale. Work as part of the Enterprise AI team and build systems that enable users to work with Large-Language Models (LLMs) and Foundation Models (FMs), using public cloud infrastructure.
As a Senior Site Reliability Engineer at Cisco Meraki, you will be responsible for building highly scalable cloud infrastructure and supporting critical customer infrastructure. Your role will involve automating processes, deploying new technologies, and improving infrastructure efficiency. Collaboration with vendors, data center operations, and cross-functional teams is essential. This role requires 24/7 on-call support and technical project delivery. Ideal candidates will have experience in leading large technical projects and a strong background in Linux, automation, and infrastructure management.
Seeking a Senior Manager, Software Engineering to lead the Data Management team at ServiceNow in San Diego. Responsibilities include managing and leading a team of engineers, collaborating with development teams, mentoring engineers, contributing to projects, and delivering high-quality solutions. Successful candidates should have 10+ years of software industry experience and 6+ years of management experience, as well as expertise in new technologies, distributed systems, and software design.
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Develop and maintain services to meet reliability and scalability demands, enhance monitoring services, collaborate with multiple teams, mentor developers, improve product architecture and stability, contribute to the open source community.
Seeking a Staff Software Engineer to join the Data Platform team at Thumbtack. Responsibilities include integrating data-thinking into the software development lifecycle, identifying gaps in current capabilities, collaborating with cross-functional teams, driving data quality, and building marketing data products. Must have 8+ years of experience.
Lead the development, optimization, and productionization of a petabyte-scale data platform using Beam and Spark in the cloud. Build self-serve capabilities for customers to adopt the next generation data processing platform. Design and implement scalable distributed data systems in the cloud using the latest technologies. Take ownership of technical projects and contribute to the team's product roadmap. Conduct technical interviews, recruit, onboard, and mentor junior engineers and interns.
Build the platform for scaling the ThousandEyes platform, exposing telemetry data, building data pipelines, and microservices.
Software Engineers at Opto are responsible for turning complex business problems into elegant engineering solutions. They work on a React-based application with a Multi-Service Architecture, Java Spring, Python FastAPI, Kafka, Postgres, and Scala for vendor data ingestion. Qualifications include 2+ years of software development experience, React proficiency, and investment management interest.
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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