Algorithm Research Engineer

Vor 2 Tagen

Council of the City of Sydney, Österreich Respondent Vollzeit

Respondent is building the infrastructure that powers participant recruiting for the research industry. Our mission is simple but ambitious: to make it effortless for researchers to find high-quality human participants - whether they’re testing a product, exploring a market, or validating an idea. From our founder’s first recruits on a NYC subway to a global panel of 4 million participants across 150+ countries, we now support research for companies like Microsoft , Dropbox , and P&G . Our panel is one of the most diverse and responsive in the industry. We’re a 35-person team across Sydney, Manila, and the US. We’re intentional about collaborating in person - serendipitous hallway conversations, whiteboarding sessions, and quick alignment cycles help us move faster and build something great together. We’ve gone from 0 to 1, recently reaching profitability and intending to stay so. We’re scaling with intention and reinvesting in the business to grow our platform, panel, and team. Joining at this stage means your work will have a direct impact as we take Respondent from 1 to 10. The Role We’re hiring an Algorithm Research Engineer to work on advanced ranking and matching problems , including novel algorithmic research and applied experimentation. This is an on-site role , with close collaboration across Engineering and Product to move quickly, test ideas, and ship improvements that directly impact customer outcomes. What You’ll Do Research, design, and implement ranking and matching algorithms Optimise systems for performance, fairness, and scalability Build evaluation frameworks to measure algorithm quality and impact Work closely with in-office engineering teams to iterate fast and deploy improvements Document research outcomes and share learnings with the broader team ✅ What You’ll Bring Degree in Computer Science, Engineering, Mathematics, or a related field Strong background in algorithms, optimisation, and applied problem-solving Experience working with recommendation, ranking, or matching systems Strong engineering fundamentals and ability to ship production-ready work Comfortable working in a fast-moving startup environment with ambiguity and trade-offs Real impact : You’ll be part of a small, high-ownership engineering team where your work ships fast and directly shapes the experience for customers like Microsoft and Dropbox. Profitable and growing : We’re a 30-person startup that’s scaling - you’ll get the excitement of startup growth with the stability of proven traction. Modern tech and mindset : Work with the latest tools and AI-powered dev practices, giving you a front-row seat to cutting-edge engineering. Culture that cares : Be part of a tight-knit global team (Sydney, Manila, US). We’re collaborative, supportive, and believe in balancing high performance with a fun workplace. #J-18808-Ljbffr

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