Top Technology Jobs & Startup Jobs in Sydney

Design, develop, and manage large-scale search and content recommendation systems. Apply ML-based personalization to improve content matching and distribution. Lead core recommendation module development, define success metrics, and collaborate with content, product, and business teams to drive AI product upgrades and better user and business outcomes.

Lead events and community growth in Australia by planning and executing end-to-end events and experiential campaigns, building local online/offline communities, managing micro-KOLs and local channels, ensuring regulatory compliance, partnering with universities and local groups, driving trust-focused messaging, tracking event and community KPIs, and optimizing programs based on performance.

Develop, deploy, and maintain LLM pipelines and RAG QA/search systems; design and optimize prompts and multi-agent LLM architectures; operate multi‑GPU/cluster inference; build evaluation pipelines for model quality, bias, and hallucination; collaborate with product and CS teams to integrate conversational AI.

Design, build, and manage large-scale search and content recommendation systems using machine learning and personalization techniques. Collaborate with content, product, and business teams to define success metrics, drive AI product improvements, and maximize content value and user impact.

Design, deploy, and monitor card issuer-side and ATO risk controls. Build detection rules, extract risk features, tune models/pipelines, analyze attack patterns, integrate third-party solutions, and collaborate with payments, data, and engineering teams to reduce fraud and optimize controls.

Early-career role building and evaluating LLM-powered agentic trading systems for crypto markets. Develop pipelines, prompt strategies, retrieval, model evaluations, and ship Python code for production features.

Design and implement complex backend services for Binance Square. Collaborate with product, DevOps, and QA to deliver high-quality microservices, promote engineering best practices, and perform code reviews.

Early-career intern will support AI projects for compliance and risk (KYC, KYB, EDD). Tasks include testing and optimizing LLM/Agent workflows, reviewing prompts and model outputs, documenting findings and edge cases, supporting small-scale implementations, and performing operational analysis to improve processes.

Design and implement complex backend logic for the Strategy Engine to deliver personalized, dynamic UI experiences. Collaborate with data analysts to define and evaluate strategies, and work with Product, DevOps, and QA to deliver robust solutions. Promote engineering best practices and perform code reviews to ensure quality and consistency.

Join as an early-career full stack engineer to build frontend and backend product features, integrate AI coding tools into development workflows, translate product requirements into implementations, and grow toward autonomous full stack delivery while improving cross-team processes.