Job description

Description About Us Come [legally] hack with us on the data on the largest exchange that’s running our world. Not NASDAQ; the one with way more events - the Global Ads Exchanges, where millions of ads are born and clicked every second.Step behind the curtain of algorithms and competitors that move $1T of annual budgets. Plunge into a world of ISP volumes of traffic, sub-second predictions, and TBs of live, real-world data. Use cutting-edge analysis, ML and engineering or just plain hacker-like thinking to outperform the market.Arpeely is a Data-Science startup, leveraging, data analysis, ML, engineering, multi-disciplinary thinking to gain a market edge and exploit hidden opportunities in real-time advertising. Processing over 350k requests per second and serving over 20B sub-second predictions daily, we build and operate Machine Learning algorithms running on the world’s largest Real-time-bidding (RTB) Ad-Exchanges. Arpeely is a Google AdX vendor and serves clients spanning from startups to Fortune-50 companies. What You’ll Do Design, scale, and operate high-throughput, low-latency services to support high scale of ingestion, augmentation, continuous ML training, and real-time prediction. Design, implement, deploy and own E2E Cloud clusters, services, and infrastructure to support extreme workloads and traffic flow while maintaining a lean design and low-maintenance architecture. As all our systems are data-driven you will have an analytical aspect in measuring your modules both business and performance-wise Build internal simulation tools and validation endpoints that let the team test changes against live traffic before they ship Work side by side with data scientists and researchers - designing, implementing, and owning entire areas of the system from prototype to production Technological superiority is what gives us our edge so you’ll work and be up to date with the latest tech and trends Requirements 5+ years Backend Development in Go or Python Experience with containerized (Docker, Kubernetes) deployments Experience with relational and NoSQL databases\ data warehouses or equivalent Team-player as well as the ability to be independent and proactive Bs.c Degree in Computer Science or Equiv. military experience Experience with AI models (LLMs, model integration, agent tooling) - Bonus Basic Knowledge of React \ TypeScript and web-technologies - Bonus Experience with Google Cloud Platform, GKE, BigQuery - Bonus