Design and build distributed systems for ingestion, normalization, processing, storage, and delivery of realtime market data.
Build and operate streaming solutions handling event ordering, timestamps, duplicates, replay, gaps, and recovery.
Lead technical decisions, write clear designs, and mentor engineers to deliver reliable data platforms.
Dune is a blockchain data and intelligence provider making onchain finance observable, serving 130+ chains and 1,000+ industry leaders. We're a tight-knit team of ~50 hardworking people across Europe and US timezones, humble yet ambitious.
Audit existing art, design, and production workflows to identify where AI can accelerate work without compromising craft, quality, or creativity.
Prototype, evaluate, and integrate AI tools into pipelines, setting clear guardrails for when and when not to use them.
Partner with artists, designers, and engineers to iterate on tooling while helping champion a forward-looking AI vision for studio work.
Sunblink is a game development studio focused on creating character-driven and cozy/social game experiences. The team values creativity, craft, and transparency, encouraging diverse applicants and championing thoughtful AI integration in production.
Learn, maintain, and improve our synthetic data pipeline and automated training system.
Take over a model and improve it with an agent loop that generates its own data.
Build closed loops where agents train detectors, test against validation sets, and improve with little human input.
CVEDIA builds computer vision models and applications that run on server and edge hardware using synthetic data. We are a small, fully remote team that uses AI agents across the company.
Build quantitative-research environments, agents, and post-training methods for systematic decision-making.
Turn workflows into tasks, run experiments against real baselines, and deploy what works.
Work directly with customers and quantitative funds while maintaining a substantive research agenda.
Prime Intellect builds the open superintelligence stack for post-training AI, unifying compute, environments, evaluations, and deployment. They have raised $150M from top investors and are building a culture of ambitious, externally-facing applied research.
Own the path from emerging research artifact to excellent open-source and product experience.
Build core open-source systems and shape researcher-facing features in our training platform.
Work with external researchers and contributors to turn fast-moving abstractions into stable public interfaces.
Prime Intellect is building the open superintelligence stack, providing infrastructure and a full-stack platform for post-training frontier AI models. The company has raised $150M in funding from prominent investors and aims to make open-source AI research fully reproducible and accessible.
Build and post-train agents for scientific research, including literature search, code execution, and domain tool use.
Develop RL and multi-agent methods for proposing, testing, and critiquing hypotheses, with strong baselines and evaluation.
Design verifiers, reward signals, and reproducible experimental loops for scientific workflows, ensuring evidence-based improvements.
Prime Intellect builds the open superintelligence stack, providing infrastructure for frontier AI labs to train, evaluate, and deploy models at scale. The company has raised $150M from top investors and operators, and is building a culture focused on frontier research, real infrastructure, and go-to-market for a new category.
Building agents, environments, and post-training systems for real semiconductor design and verification workflows.
Designing rewards and evaluations that combine functional correctness with tool efficiency, robustness, and performance/power/area constraints.
Owning interactive environments where agents use EDA tools to modify designs, debug failures, and plan multi-step work.
Prime Intellect builds the open superintelligence stack, unifying compute, environments, evaluations, and deployment for frontier-scale AI post-training. The company has raised $150M in funding from top investors like Founders Fund and NVIDIA, fostering a culture of building at the intersection of research, infrastructure, and go-to-market.
Own planning and delivery of the technical roadmap, leading backend, full stack, and QA engineers.
Optimize data pipelines, system performance, and reliability while managing technical risks.
Drive architecture modernization, reduce technical debt, and ensure clear documentation and knowledge sharing.
SplitMetrics builds growth solutions for mobile-first businesses with Apple Ads automation, A/B testing, and ASO tools. The remote-first team spans 20+ countries and values transparency, speed, and shared ownership.
Design, develop, test, and maintain software, ensuring alignment with functional requirements, development guidelines, and the scope of work.
Actively contribute to team discussions regarding technology, development best practices, and process improvements.
Manage projects and deliverables to the client by engaging directly with customers to discuss product defects, product requirements, and deployment activities.
We are a reputable software company specializing in the healthcare industry, providing various products to laboratories, hospitals, and doctors since 1988. You will be joining a smart and driven team passionate about exploration and discovery in the Healthcare Software vertical, with significant investment in people, processes, and technology.
Lead technical discovery with enterprise sales to map customer systems and validate product fit.
Own solution design for API integrations and scope SoWs for custom builds.
Manage implementations from signature to go-live, resolving technical issues and handing over to support.
Easyship is a leading multi-carrier shipping software platform that makes global eCommerce borderless. Trusted by over 100,000 brands, they offer access to 550+ courier services across 200+ destinations and are an award-winning global team with offices worldwide.