Planday from Xero - Machine Learning Engineer (Agentic AI)
Requirements
• 3–5 years of hands-on experience designing, building, and deploying machine learning or data systems in production environments. • Strong collaborative skills - we are a small, high-impact team, and we view cross-functional partnership as a feature, not a bug. • Solid grounding in ML fundamentals (metrics, validation, leakage) and a strong theoretical foundation in AI research. • Practical experience shipping ML or data systems in production environments, beyond purely academic or notebook settings. • Strong Python skills, including experience with numerical and dataframe libraries such as NumPy and pandas. • Experience writing tested, maintainable, and observable code for services deployed to the cloud. • Hands-on experience with LLM applications and agentic architectures, such as RAG, function calling, or planning workflows. • Familiarity with data tooling (SQL, dbt, Snowflake/Databricks) and an end-to-end mindset for product building. • MSc or relevant experience in a quantitative field, with a preference for researcher-oriented profiles with coding proficiency.
Responsibilities
• Build and optimize ML models to enhance and extend Planday, framing problems from real metrics and engineering robust feature pipelines. • Design and ship agentic systems involving tool use, function calling, and multi-agent orchestration for reliable planning workflows. • Deploy and operate model services in production, ensuring performance for cost and latency through caching, batching, and quantization. • Design and run rigorous evaluations, including LLM-as-judge and regression suites, so quality changes are always measured. • Collaborate on turning research prototypes into reliable, observable production workflows and pipelines. • Success looks like • Success looks like • Stable and sustainable support for live ML services in production as our variety of deployments grows. • Successful release of new features like auto-scheduler models and intelligent AI agent needs. • Reduced ambiguity in model quality through the implementation of repeatable and high-fidelity evaluation sets. • Proactive maintenance and debugging of production services, ensuring high reliability for end-users. • Delivery of research-backed features that directly improve complex workflows like shift assignment.
Benefits
• Benefits like pension, health insurance, inclusive support for new parents and generous vacation • On top of your annual base salary, you are offered to be part of an Employee Share Plan • Growth and progression opportunities – we want you to grow with us • Flexible remote work • Strong social culture with lots of team and company activities • Meaningful work – everyone at Planday contributes to improving the lives of shift workers around the globe • Healthy work-life balance and autonomous approach to work. We trust in you and your abilities • Finally, our offices are not just workplaces (although they are pretty nice and well-located, we have to say!). Plandayers are open and welcoming and at Planday, everyone has the freedom and support to show their true self at work.
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