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Build Android-native ATAK plugins and integrations for Ditto's peer-to-peer data sync platform, serving defense and public sector customers with a focus on disconnected/low-bandwidth environments.
Senior Platform Engineer designs, automates, and maintains Fieldwire's cloud infrastructure and production systems to support rapid feature deployment and high reliability for construction teams.
Principal Software Engineer leading the architecture and technical vision for Upstart's Core Pricing platform, building low-latency services that convert ML underwriting outputs into pricing decisions using Python, Kotlin, Spring Boot, gRPC, Temporal, AWS, and Kubernetes.
About Us AXQ Capital is a global quantitative investment firm with offices in New York, Beijing, Shanghai, and Hong Kong . We pursue consistent alpha through rigorous scientific research and sustained investment in…
This role focuses on ensuring the reliability, correctness, stability, and high performance of InfluxDB Enterprise 3’s core database platform. You’ll design and execute automated test workflows, validate query accuracy, simulate real-world workloads, and collaborate with developers to convert specs into formal test constraints. AI proficiency is essential for troubleshooting and log analysis.
Overview Our team builds client and service components within Intune, Microsoft's device and app management platform for enterprises. We work at a pace and scale that you will not find in many other places. We are…
Overview Microsoft Intune is one of the fastest growing cloud-based enterprise services at Microsoft, touching 200 million endpoints and users around the world every day. We provide powerful tools which enable IT, and…
Software Development Engineer on the AWS Lambda Runtimes team in Dublin, maintaining and evolving runtime implementations, security updates, and libraries across seven programming languages while engaging with upstream open-source communities.
This is a remote position. Develop and maintain web applications using Next.js and React . Integrate blockchain technologies (e.g., Ethereum, Solana, or others) into web applications, including smart contracts,…
Develops and optimizes cloud storage infrastructure for AI workloads, focusing on scalable, high-performance distributed storage solutions with redundancy and fault tolerance.
Designs and implements core components for next-generation version control systems like jj, focusing on performance and scalability, while collaborating with AI-enabled developer tool teams.
Principal Software Engineer designs and implements high-performance vector search and information retrieval systems for Azure’s data platform, using C++, Rust, or Python to power AI-native applications.
Build and maintain an autonomous AI agent platform for hardware validation, designing LLM agent frameworks, RAG pipelines, and developer tooling to automate testing and knowledge management without human intervention.
Software Development Engineer building infrastructure that accelerates silicon development at Annapurna Labs, working with cloud infrastructure, high-performance computing, and electronic design automation to support chip design teams.
Principal Software Engineer at Recorded Future builds and scales threat intelligence pipelines that collect, transform, and deliver structured security data using Python, Go/Rust, Kafka, and cloud infrastructure.
Senior Software Engineer at GRVTY in Dayton, Ohio, building Python-based tools for optical signature modeling, spectral data analysis, and ML-enabled sensor workflows for national security missions.
Senior Machine Learning Engineer at AB InBev Growth Group in Campinas, Brazil, building and scaling ML pipelines for the BEES B2B platform using Python, PySpark, Kubernetes, and Azure Cloud.
Build and scale ML systems for BEES, AB InBev’s B2B commerce platform, owning end-to-end pipelines from data to production inference.
Design and lead large-scale distributed infrastructure for AI systems, including Kubernetes clusters, data pipelines, and developer tooling, ensuring reliability and scalability.
Research Engineer in Reinforcement Learning (RL) at Anthropic develops agentic AI models for autonomous tasks like coding and software generation, advancing Claude’s capabilities while ensuring safety and scalability. Core work spans RL infrastructure, distributed training, and prototype development for internal AI systems.
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