ABOUT DREAMERLABS Dreamerlabs is building a new category of entertainment: interactive experiences powered by AI characters, chat, voice, image and video, shaped in real time around each person. Entertainment has spent decades becoming more personalised, from TV to YouTube to TikTok. AI unlocks a second axis, interactivity, where the story responds to you. That is what we’re building, and we’re doing it at serious scale. In under two years, we have built one of the most-visited AI entertainment products in the world: - 20 million monthly visitors - A top 1,000 website globally - 250 billion tokens processed every day - 1.2 million images and videos generated every day - 350+ model requests per second, served from our own GPU fleet We’ve done it profitable and bootstrapped, and now we are scaling our team as we launch new products on the platform. Why Data Scientists join us We fine-tune and deploy models for chat, image, video and voice, build our own models in-house, and run hundreds of GPUs across multiple data centres. We are one of very few companies in Australia improving the latest AI models across all of these, with the user data to tell which changes actually make them better. We’re AI-first in how we work, too. Everyone works with the latest AI tools, and we’re constantly experimenting with how great people can do more than ever with them. The role You’ll own data science for a product area, end to end. You’ll set up the logging, run the experiments, work out what changed and why, and turn that into decisions about what we build next. You will then measure whether it worked and keep improving it. You work with the founders to decide what to investigate and how, and you’re accountable for real outcomes for users on a product used by millions every month. Our priorities move quickly, so you’ll switch between projects as they change. Problems you could own: - Making our AI models better. Work out what makes a good chat, image or video result for our users from real usage data, and measure whether each new model is an improvement. - Conversion and retention experiments. Run A/B tests, including setting up event data, checking implementation details and investigating unexpected results. - Explaining changes in user behaviour. Pinpoint which traffic source, product or infra change affected which users, then build automated systems to diagnose it. - Understanding customer journeys. Implement the product analytics and logging we need to understand different journeys in detail. We’re deliberately flat, with no levels and no management layers. The team includes former Heads of Engineering, Principal Engineers and founders who chose to be individual contributors because they love building, alongside people from Meta, Canva, Alibaba, Immutable and Rokt. You’ll work directly with the founders. What we’re looking for We care more about what you’ve done and how you think than years of experience or a checklist of technologies. You might be a senior data scientist, a product analyst who has shaped product direction, or earlier in your career with an exceptional side project to show for it. - You’ve found something that mattered. An investigation, experiment or analysis that changed a real product decision. You can explain clearly what you did and why it was hard. - Product judgement. You understand users, form a view on what’s worth building, and back it with evidence. Ideally you’ve worked on a customer-facing product. - End-to-end ownership. You turn an ambiguous question into an answer the team acts on without someone breaking it into tasks, and you check what happened after. - Technically minded. You can create and debug event logging, read and write code, and understand product flows. - Rigour and pragmatism. You check the data yourself, verify that it's correct and make your conclusions traceable. You know the difference between a real insight, a weak signal and a guess. - Clear communication. You explain your thinking succinctly, with data, and challenge ideas constructively. - Curiosity about AI. You keep up with new models and tools and learn new areas very quickly. - Hunger. You want to win, hold yourself to high standards, and want the responsibility of owning something important. Our product stack is TypeScript, Next.js, React, tRPC, Postgres, ClickHouse, Temporal and AWS. How we work We work together in person in North Sydney, because things change fast and the best decisions happen in the room. We prioritise ruthlessly, test ideas in a day rather than planning them for weeks, and keep meetings and approvals to a minimum. We think of ourselves as a competitive sports team with a real shot at winning. That means a high-intensity environment, and it’s built for people who want exactly that. What you’ll get - Above-market pay. We reward exceptional people with above-market salaries and meaningful equity. - Fast reward for impact. Compensation is reviewed every six months, with raises and bonuses tied to what you deliver, not your title. - Growth without management. Your scope, influence and pay can keep growing while you stay hands-on. - All meals covered. Breakfast, lunch and dinner every day, plus stocked fridges. - A company card and unlimited workspace budget. For food, coffee, software, AI tools, equipment and the setup you need to do your best work. - A great office. Dog-friendly, in North Sydney, with a big balcony for working outdoors. - Optional team socials. Gym sessions, running, swimming, escape rooms and more. - Visa sponsorship. For people relocating to Australia.

Staff Data Scientist (Product)

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