TL;DR
Senior Machine Learning Engineer (AI Engineering): Building and shipping ML-powered features to enhance ad generation experiences with an accent on generative AI (GenAI): LLMs, diffusion models, prompt engineering, RAG, or fine-tuning. Focus on designing scalable ML pipelines, running experiments to improve model effectiveness, and contributing to shared ML infrastructure.
Location: Remote within Australia
Company
hirify.global is redefining how the world experiences design.
What you will do
- Build, test, and ship ML-powered features that enhance our ad generation experiences.
- Design scalable ML pipelines in collaboration with our platform teams.
- Work closely with PMs, designers, and engineers to align on user needs and product direction.
- Run experiments to validate assumptions and improve model effectiveness.
- Contribute to shared ML infrastructure and best practices at hirify.global.
- Keep up with state-of-the-art developments and explore ways to apply them at scale.
Requirements
- Proven track record of delivering ML-powered product features in production.
- Deep technical expertise across the ML lifecycle - from data wrangling and model development to evaluation, deployment, and monitoring.
- Comfortable operating independently while collaborating deeply with cross-functional teams, and motivated by user impact and product outcomes.
- Experience with Generative AI (GenAI): LLMs, diffusion models, prompt engineering, RAG, or fine-tuning.
- Familiarity with GenAI platforms (e.g. OpenAI, Hugging Face, Anthropic) and embedding-based systems.
- Strong product mindset - prioritises ML solutions that improve user experience and product outcomes.
Culture & Benefits
- Equity packages.
- Inclusive parental leave policy that supports all parents & carers.
- An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more.
- Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally.
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