Lead the machine learning infrastructure team at Recursion from anywhere in Canada. Shape the future of drug discovery by optimizing AI systems and driving impactful solutions.

As an Engineering Manager, you will oversee a talented team dedicated to building and scaling machine learning infrastructure that powers the drug discovery platform. Your role will involve cross-functional collaboration with ML engineering, data science, and research teams to create robust solutions that can handle vast datasets and complex workloads.

Key Responsibilities:



• Build scalable machine learning infrastructure for diverse teams • Mentor and coach team members in MLOps and distributed systems • Drive a culture of model-driven experimentation and deployment • Collaborate with stakeholders to enhance model performance • Optimize GPU cluster utilization and enforce MLOps standards

Requirements: • Experience in technical leadership within MLOps and infrastructure • Robust focus on collaboration and mentoring • Proven history in optimizing ML systems and deployments • Familiarity with Python, PyTorch, Docker, and Kubernetes • Interest in learning about Recursion's technology stack

Lead impactful projects that enhance machine learning and drug discovery capabilities at Recursion. #J-18808-Ljbffr

📌 Remote Engineering Manager at Recursion (Toronto)
🏢 Socket.dev
📍 Toronto