АвстралияLead Applied AI engineer
1 мес. назад
АвстралияLeadHybrid
machine learningdeep learningpythonmodel evaluationai model deployment
Lead applied AI efforts to build intelligence layers understanding pet health, shipping AI models into real products.
О компании
- Fetch is how modern pet parents give their pets the best care. One pink app 🩷 for insurance, health and care.
- We’ve raised our Series A from Lightspeed and Airtree, we’re rated 4.9⭐️ on Google, #1 by CHOICE, and we’re growing fast.
- We think AI is going to fundamentally change how we care for pets.
- We have pet health data, an in-house team of vets and vet nurses, and we build our own product and technology. We want to turn that into an intelligence layer that understands each pet deeply – their history, health and what might matter next.
- We’re looking for an exceptional Lead Applied AI Engineer to build it.
Обязанности
- This is a senior, hands-on builder role.
- You’ll lead applied AI at Fetch – setting the direction, choosing the models and approaches, building them yourself, measuring whether they actually work, and shipping them into real products.
- Your core job is simple: make Fetch exceptionally good at understanding pet health.
- That capability will power everything from helping pet parents care for their pets, to supporting vets, interpreting health records and automating parts of insurance.
- We don’t need someone with a particular academic pedigree. We want someone who is obsessed with what modern models can do, moves quickly, experiments constantly and knows how to turn new capabilities into reliable products.
- Location: Sydney, hybrid, 3 days in office
- Employment type: Full time
- Compensation: Series A salary + meaningful equity
- Working with: Co-founders, engineering, product, data, vets and vet nurses. We’re flat, fast and care about the best idea.
Требования
- You’re an exceptional applied AI builder who wants a lot of ownership.
- You’ve probably spent the last few years building with modern ML and LLMs and have gone much deeper than plugging an API into a product.
- This might look like:
- 3+ years building and shipping ML or AI systems in production
- Strong experience with modern LLMs and applied AI systems
- Deep understanding of evals – how to construct them, measure model quality and use failures to drive improvement
- Experience with post-training, fine-tuning, RAG, structured outputs, tool use or similar techniques
- Strong instincts around training data – what data matters, how to structure it and how to improve its quality
- Enough engineering ability to take an idea from experiment to production
- Good judgement about when to use a frontier model, an open-source model, retrieval, fine-tuning or something simpler
- Strong product thinking – you care what the system enables for the user, not just the benchmark score
- Comfortable working directly with domain experts to turn human expertise into data, evals and model behaviour
- Experience in health, veterinary care or insurance is useful. It isn’t required.
- A PhD isn’t required either. We care much more about what you’ve built, how you think and how quickly you learn.
Условия
- Competitive Series A salary + meaningful equity
- Hybrid working – 3 days Sydney office, flexible WFH
- Latest MacBook Pro and a top setup
- Unlimited AI tooling – if it helps you build, use it
- Two team retreats each year
- Office dogs for cuddles and interruptions
- Bean-to-cup coffee, unlimited fruit and snacks. Toblerone on tap
- Inclusive parental leave
- 5 weeks annual leave
Как откликнуться
- Apply via the link with your CV and anything that shows us how you think and build.
- We’d especially like to see:
- The best AI system you’ve built – what it did, what you personally built and why it was hard
- How you evaluated it – what your evals looked like, where the model failed and how you improved it
- Something new in AI that you’re excited about right now – and why
- Links to GitHub, demos, papers, projects or anything else you’re proud of
Другое
- Fetch’s pet health intelligence layer: models and systems that can understand messy, longitudinal pet health information and reason over it
- Model quality end-to-end: datasets, evals, model selection, prompting, retrieval, post-training, fine-tuning, guardrails and monitoring
- A serious evaluation system: clear benchmarks for what good looks like, where models fail and whether a new model is actually better
- Domain-specific AI: turning proprietary pet health data and expert veterinary knowledge into capabilities generic models don’t have
- Multimodal understanding: health records, documents, images and, over time, richer inputs like video
- Safe production AI: working closely with our vets, compliance and engineering teams to make sure the systems we ship are reliable and clinically appropriate
- The next generation of Fetch products: you’ll be deeply involved in product direction and help decide what we should build with AI, not simply implement someone else’s roadmap
- The beginnings of an exceptional AI team: this is a core capability for Fetch and we expect the team around it to grow
- You’ll use whatever approach works best.
- Sometimes that will mean a frontier closed-source model. Sometimes an open-source model. Sometimes RAG, tools or better context. Sometimes fine-tuning or post-training.
- We care about getting to the best result, measuring it properly and improving it quickly.
- You’re all in on AI and believe it can make the world meaningfully better
- A new model drops and your first instinct is to try it
- You’re optimistic about where the technology is going and curious about what becomes possible next
- You’re empirical – you test things rather than arguing about them in theory
- You move quickly and like turning experiments into real products
- You’re brave enough to try approaches that might fail
- You want a huge amount of influence over product and technical direction
- You want to build the capability yourself before building a team around it
- You like working with very smart people from different disciplines
- You love pets 💗
- You want to spend most of your time managing rather than building
- You need a research paper before you’re comfortable trying something
- You think your job ends when a model works in a notebook
- You’re attached to one model, vendor or technical approach
- You prefer long research cycles over shipping, measuring and iterating
- You need a defined roadmap handed to you
- You want everyone to stay neatly inside their lane
- The Fetch team is ambitious, smart, hard-working, thoughtful and kind.
- You’ll work directly with the founders and be involved early in product and company strategy.
- We build our own platform and products, so there are very few layers between an idea and something being used in the real world.
- You’ll have access to proprietary pet health data, vets and vet nurses who deeply understand the domain, and an engineering team that can help turn models into products.
- We use AI constantly ourselves. New tools, models and ideas are there to be tried rather than put through months of approvals.
- And you’ll be working on something that matters – eventually helping millions of pets live healthier, happier lives.