Engineering Manager - Machine Learning (AI Products)

1 нед. назад

New ZealandWorldwideLeadHybrid

mlopsmachine learningproduction infrastructureobservability

Lead a team of ML and platform engineers to build scalable production-grade ML infrastructure and champion MLOps maturity for AI products.

Обязанности

As Engineering Manager, you'll lead a high-performing, inclusive team of ML and platform engineers, responsible for turning research and models into production-grade ML infrastructure that runs at scale. You'll balance predictable delivery with a relentless focus on system health, taking the lead on MLOps maturity, observability and the operational realities of running AI systems in production, not just shipping features.
You'll work closely with senior individual contributors, including staff and principal engineers, who shape the technical architecture, while you focus on team growth, delivery rigour and championing AI-native workflows across the software development lifecycle. This is a role for someone who wants to build both the systems and the people capable of running AI at 's scale.

Другое

You'll join 's Data & AI organisation, within the AI Products division, reporting to the GM of ML Engineering. The team takes research and models from applied scientists and turns them into safe, scalable, production ML infrastructure that millions of small businesses rely on every day. It's a close, cross-functional group that partners tightly with Applied Science, Data Engineering and Product to move ideas from prototype to production.
Production ML infrastructure and MLOps supporting 's AI-native product suite
Systems powering JAX (Just Ask ), 's conversational GenAI assistant
Auto Bank Rec and smart document capture, including AI-powered transaction matching and extraction from bills and receipts
Future work extending cash flow forecasting and other embedded ML capabilities
We support a flexible working model that empowers you to balance your professional and personal life. You will have the option to work in a hybrid capacity, combining the focus of remote work with the collaboration of our office spaces and team boost days to foster connection and alignment.
You'll bring a strong track record of leading, coaching and developing engineers, with real experience building team capability over time
Strong technical judgement across architecture, system design and engineering trade-offs is part of how you naturally operate
You've translated business goals into executable engineering plans, balancing short-term delivery against long-term system health
Delivering roadmaps predictably in fast-paced, evolving environments is familiar territory for you
You stay hands-on when it counts, comfortable writing, reviewing or debugging production code to unblock your team or support an incident
Experience with machine learning or AI systems is a bonus rather than a requirement, though genuine curiosity about the space will help you thrive here
Apply even if your experience isn't a perfect match! At , we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.