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About the Role
You will own model development for a product area end to end, understanding user needs, leveraging the latest models, and managing the process from data through training, evaluation, and deployment on GPUs. You will measure success and drive continuous improvement, with real ownership over decisions, accountability for quality, latency, and cost for models serving millions.
Responsibilities
- Own model development for a product area end to end.
- Understand user needs and the capabilities of the latest models.
- Manage the process from data through training, evaluation, and deployment on GPUs.
- Measure model performance and drive continuous improvement.
- Decide what to build and how to build it.
- Be on call for shipped products.
- Read user feedback.
- Be accountable for quality, latency, and cost on models serving millions.
- Fine-tune chat models, train on real conversation data, build evaluations, and roll them out.
- Evaluate new image and video models, making them cheaper, faster, and better quality for deployment on own GPUs.
- Investigate the feasibility of real-time AI experiences, determining necessary models, GPUs, and trade-offs between quality, latency, and cost.
- Build detection models across billions of messages, using models for data labeling and verifying results.
Requirements
- Have built something impressive: a technically complex product at real scale, or a hard problem you went deep on.
- Ability to clearly explain what you did and why it was hard.
- Product judgement: talk to users, form a view on what's worth building, and back it with evidence.
- Ideally have owned a customer-facing product, not only internal platforms.
- Demonstrate end-to-end ownership: turn an ambiguous problem into a shipped product without task breakdown, and own post-launch outcomes.
- Exhibit rigour and pragmatism: ask follow-up questions (users, impact, cost), run experiments, and check results.
- Know when to build properly and when a simple solution is sufficient.
- Communicate thinking succinctly with data and challenge ideas constructively.
- Curiosity about AI: keep up with new models and tools and quickly see how they could change the product.
- Fast learning trajectory.
- Hunger to win, hold yourself to high standards, and desire responsibility for owning something important.
Skills
- TypeScript
- Next.js
- React
- tRPC
- Postgres
- ClickHouse
- Temporal
- AWS
- Python
- LLMs
- TTS
- Diffusion image and video models
- Generative AI
- AI coding tools
Location
- North Sydney
Work Type
- In person
- Full-time
Experience Level
- Staff Engineer
- Principal Engineer
- Distinguished Engineer
- Tech Lead
- Head of Engineering
- Founder
Salary/Compensations
- Above-market pay
- Meaningful equity
Benefits
- All meals covered (breakfast, lunch, dinner)
- Stocked fridges
- Company card
- Unlimited workspace budget (food, coffee, software, AI tools, equipment)
- Dog-friendly office
- Optional team socials (gym, running, swimming, escape rooms)
- Visa sponsorship for relocating engineers
About the Company
- Building a new category of entertainment: interactive experiences powered by AI characters, chat, voice, image, and video, shaped in real time around each person.
- Achieved 20 million monthly visitors and around 250,000 paying subscribers.
- Ranked as a top 1,000 website globally.
- Processes 250 billion tokens daily.
- Generates 1.2 million images and videos daily.
- Serves over 350 model requests per second from its own GPU fleet.
- Profitable and bootstrapped.
- Scaling engineering team to launch new products.
- Fine-tunes and deploys models for chat, image, video, and voice.
- Builds models in-house.
- Operates hundreds of GPUs (H100s and B200s) across multiple data centers.
- Works close to the metal on generative AI.
- AI-first approach to building, utilizing the latest AI coding tools.
- Flat organizational structure with no levels or management layers.
- Team includes former Heads of Engineering, Principal Engineers, and founders.
- Works directly with the founders.
- Prioritizes ruthlessly, tests ideas rapidly, and minimizes meetings and approvals.
- Operates as a competitive sports team environment.