Halcyon is building the most resilient anti-ransomware platform on the market, and we need a Senior Security Data Engineer to power our data infrastructure. You'll be responsible for building and maintaining the robust data pipelines that ingest, process, and deliver critical security data, which powers our decisions and analytics. In this role, you'll implement and operate large-scale data systems that handle large volumes of behavioral, network, file, and product signals.
As a Senior/Principal Data Scientist, you'll be at the intersection of AI research, customer success, and engineering, designing intelligent agentic workflows, building novel document extraction pipelines, and supporting customers in deploying production-grade AI systems.
Integrate new data sources into the platform; Respond to internal user requests and incidents; Co-develop data marts in collaboration with analysts; Ensure the completeness and consistency of analytical data.
This role focuses on data collection to support the model training operations. You will find new audio data sources, build ingestion pipelines, and manage cloud infrastructure on GCP. Collaborate with scientists to enhance data quality and scale to power next-generation models and craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products.
As a Lead Data Scientist within the Data Science Methods team, you will drive definition and support of new products and methods development, and improvement initiatives, focusing on innovation in data processing methods for retail measurement and automation of existing statistical procedures. You will define, plan, and execute analyses regarding innovation initiatives, methodology development, standards, and KPIs development and implementation.
Join Twilio's team as a Machine Learning & Data Engineer. You'll design, build, and maintain data pipelines, training workflows, and real-time inference services that power AI-driven communications. You will convert raw interaction data into reliable, scalable systems that internal product teams and external builders trust to prototype, deploy, and measure machine-learning solutions at global scale.
Join GitLab as Data System Architect to drive our strategic data platform evolution, architecting scalable, distributed solutions that transform how we manage and leverage data across our SaaS and self-managed deployments, supporting enterprise-scale growth and innovation.
As an ML Engineer, you’ll be provided with all opportunities for development and growth, building cutting-edge technology solutions that have a positive impact on society. Responsibilities include creating or improving ML models, collaborating with engineering, data science, and product management teams, and setting up reproducible experimentation environments. You'll also monitor ML models in production and stay updated with the latest ML and AI developments.