Senior ML Engineer

As a Senior Machine Learning Engineer, you will lead efforts to build models and services that support our core timekeeping product. You’ll collaborate closely with cross-functional teams to design and deploy cutting-edge machine learning to support core product features. Beyond developing models, you’ll build and shape our engineering services that support training and deploying models.

Core Duties

• Own business-critical AI challenges. Partner with product, design, and engineers to uncover the real customer problems, then frame them as tractable machine-learning tasks.
• Build end-to-end solutions. Collect and curate data, prototype models, run rigorous experiments, and productionize the winners with reliable MLOps practice s. 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 outcomes-not just tickets. You’ll have the autonomy to choose the right approach and the accountability for results.