Why This Role Stands Out
This hybrid role offers a fantastic opportunity to shape the deployment of cutting-edge ML models for millions of users, providing significant impact and technical growth. You'll thrive here if you're a skilled engineer eager to build robust, scalable systems and innovate in a dynamic environment. Apply to join a forward-thinking team and elevate your career in ML deployment!
Quick Overview
Job Description
We're building a new category of interactive entertainment powered by AI characters, image, video, and real-time experiences. We're one of the most-visited AI products globally, serving millions of users every day.
We work in-person in Sydney, Australia, and hire globally.
User-first: We build what people want. We invest time to understand our users and focus on adding value instead of extracting value.
High agency, high ownership: We own outcomes end-to-end. When something goes wrong, we take responsibility and fix it.
Urgency: We prioritize ruthlessly, increase leverage, and move at an exceptional pace.
You'll own how our models reach production - building the deployment and serving platform that ships new models, LoRAs, and updates to tens of millions of users safely and continuously.
Build a zero-downtime rollout system for new models and LoRAs across hundreds of GPUs.
Automate the path from a trained model to production - packaging, versioning, canarying, and rollback.
Orchestrate hundreds of GPUs to serve millions of image generations per day.
5+ years of experience building software at scale, with a focus on ML deployment, infrastructure, or platform engineering.
Experience shipping models to production: containerization, orchestration (Kubernetes), autoscaling GPU workloads, and CI/CD.
The ability to get shit done end-to-end. From understanding users proposing an idea implementation iteration.
Hunger to win. This is not going to be easy.
Top-of-market compensation with meaningful equity upside.
Real ownership from day one. Work on important problems and see the impact of what you ship.
Fast-growing scope. As your impact grows, your responsibility and compensation should grow with it.
A company card for food, coffee, tools, and anything that helps you do your best work.
Daily team lunch and dinner at the office.
An unlimited workspace budget to build your ideal setup.
Visa sponsorship and relocation assistance for people moving to Sydney.
We raise the ceiling for exceptional performers, not the floor. As your impact grows, your compensation should too.
The listed range is cash + equity, with superannuation on top.
We review compensation every 6 months.
Bonuses reward past impact, and raises reflect your new level.
Intro call: 15 minutes to align on the role and company.
Founder interview: go deep on what you've built, how you think, and how you work.
Technical interview: 1 hour of system design and technical discussion. No live coding.
Paid work trial: spend 3 days with us in Sydney working on a real problem. We cover travel and accommodation, if needed.
Offer: if it's a strong fit, we move quickly.
Similar jobs
- US
Senior ML Engineer - AI-Powered Search & Recommendations
NewUnited States Digital Space LLC
Western Australia🇦🇺Hybrid1 hour agoMachine LearningTechnology - RG
Senior ML Engineer - AI for Property Discovery
NewREA Group
Sydney🇦🇺Hybrid1 hour agoTechnology - RG
Staff ML Engineer: Shape the AI Core of Our Platform
NewREA Group
Sydney🇦🇺HybridYesterdayMachine LearningTechnology - MG
Senior ML Engineer - AI Systems & LLMs for SaaS
NewMyob Group Limited
Sydney, New South Wales🇦🇺Hybrid2 days agoAWSMachine LearningTensorFlowTechnology - JO
Senior ML Engineer - Computer Vision & Production AI (Remote)
NewJobgether
Melbourne, Victoria🇦🇺Remote2 days agoMachine LearningComputer VisionDeep LearningTechnology - MG
Machine Learning Engineer
NewMantel Group Pty Ltd
Perth🇦🇺Hybrid2 days agoMLOpsMachine LearningScikit-learn+9Technology