6 days ago
Christchurch, New ZealandSenior
Responsibilities
- Ship applied ML solutions end-to-end, from problem framing to production rollout.
- Design evaluation frameworks and build gold datasets to reflect real-world performance.
- Blend machine learning with algorithms pragmatically using various tools.
- Consider production constraints such as latency, scale, and observability in deliverables.
- Collaborate with product and engineering teams to drive solution adoption.
- Raise technical standards through reproducible experiments and clear documentation.
Requirements
- Proven track record of shipping ML systems into production.
- Strong algorithmic thinking and familiarity with classical algorithms.
- Excellent applied modeling fundamentals and ability to build strong baselines.
- Evaluation-first mindset with the ability to articulate failure modes.
- Engineering-minded execution with a focus on maintainable code and performance.
- Clear communication and collaboration skills to align stakeholders.
- Experience in messy, weakly-supervised domains.
Benefits
- Healthy, catered lunches provided in various office locations.
- Annual wellness allowance of $1,500 for health-related expenses.
- Three months of fully paid parental leave for primary caregivers.
- Paid commuting options including car park or allowance.
- Inspiring workspaces designed for collaboration and creativity.
- Office-first approach with flexible scheduling to support work-life balance.
- Regular team celebrations and social events.
Categories
AI & MLData Science