About this role As a Senior Machine Learning Engineer you will lead efforts to build models and services that support our core timekeeping product. Youll collaborate closely with cross-functional teams to design and deploy cutting-edge machine learning to support core product features. Beyond developing models youll build and shape our engineering services that support training and deploying models.
Core Duties
Own businesscritical AI challenges. Partner with product design and engineers to uncover the real customer problems then frame them as tractable machinelearning tasks.
Build endtoend solutions. Collect and curate data prototype models run rigorous experiments and productionize the winners with reliableMLOps practices. Your code will move effortlessly between exploratory notebooks and hardened services.
Ship incrementally learn rapidly. Break ambitious ideas into testable slices measure impact and iterate. Curiosity drives you to ask the right questions; pragmatism drives you to deliver value week over week.
Elevate the team. Mentor engineers on best practices in ML engineering model evaluation prompt design and responsible AI. Introduce tools and techniques that improve reliability speed of deployment fairness and performance.
Take true ownership. We empower every team member to understand the business levers behind their work and to push for outcomesnot just tickets. Youll have the autonomy to choose the right approach and the accountability for results.
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