Top Technology Jobs & Startup Jobs in Sydney

Lead the design, development, deployment, and operation of scalable AI/ML products and platforms. Own the full machine learning lifecycle, including experimentation, evaluation, inference, monitoring, and optimization. Develop LLM, retrieval, ranking, relevance, and generative AI solutions using Python, AWS, SQL, Airflow, Kafka, and BigQuery. Set technical direction, establish evaluation frameworks, improve engineering practices, mentor engineers, and promote reliable, ethical, and compliant AI/ML delivery.

Design, build, test, deploy, and monitor reliable AI/ML products and services at scale. Develop real-time and batch data pipelines, optimize ranking and retrieval models using embeddings, transformers, and LLMs, and establish evaluation, observability, and model lifecycle management practices. Collaborate across product, engineering, data, and consumer experience teams while contributing to scalable ML platform capabilities.

Manage and grow advertising accounts for REA Group’s New Homes team. Responsibilities include achieving revenue targets, identifying prospects, developing sales proposals, conducting client meetings, monitoring local market developments, building direct and agency relationships, generating new business, maintaining a sales pipeline, and delivering presentations. The role requires digital media sales experience, advertising knowledge, strong communication and presentation skills, analytical capability, and proficiency with Microsoft Office; Salesforce experience is desirable.

Provides frontline customer support through phone, email, and web chat. Resolves issues empathetically and efficiently, manages multiple systems in a fast-paced contact environment, collaborates across the organization, and identifies opportunities to improve customer and employee experiences. The role also gathers product feedback, supports performance excellence, and builds customer loyalty through clear communication, active listening, problem-solving, and accountability.

Staff Software Engineer leading architecture, technical strategy, and development for REA’s high-scale AdTech ecosystem. The role involves building backend APIs, data pipelines, and event-driven systems; conducting technical discovery and research; solving complex performance and architecture challenges; supporting production systems; and mentoring engineers. The successful candidate will help shape ad serving, programmatic infrastructure, identity, and audience platforms while partnering with Product, Sales, Ad Operations, and Engineering leadership.

Leads REA Group’s New Homes editorial strategy across sponsored and organic content, including articles, podcasts, social, and video. Manages a team of three and freelance contributors, oversees content roadmaps, and uses data, SEO, and audience insights to optimize performance. Partners with developers, Sales, Account Management, Product, and Lifecycle teams to support audience growth, client value, revenue objectives, sales presentations, and premium content proposals.

Lead the New Homes sales team, grow key customer relationships, achieve financial and satisfaction targets, and support national sales strategy. The role includes recruiting, coaching, and developing sales leaders; coordinating state-wide sales activities; managing major customer sponsorships and events; driving cross-functional initiatives; and implementing strategic plans, processes, and change programs across the organization.

Develop, test, deploy, and operate machine learning pipelines and AI products using Python, SQL, cloud platforms, and infrastructure-as-code tools. Build generative AI and traditional ML solutions, prototype proofs of concept, analyze data quality and coverage, and support dashboards and reporting. The role follows agile engineering practices, including test-driven development, continuous delivery, pair programming, and shared DevOps ownership.

Design, implement, test and deploy cloud-based data products and services. Maintain and modernise systems, ensure reliability, security and scalability, build ETL/data pipelines, tune performance, and support production environments.

Support brokers by interpreting lender product, policy and qualification criteria; coordinate system implementations with Simpology/NexGen; troubleshoot product and policy issues; provide SME advice, credit coaching, documentation, testing and onboarding for lender products in Mortgage Choice systems.