Head of Data + ML Platform & Engineering Site Lead (Hybrid)

Requirements

• B.S. in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field and 10+ years related experience
• 10+ years experience in data engineering, ML platform development, or related fields with at least 5 years in a leadership role
• Familiarity with typical machine learning algorithms from an engineering perspective
• Knowledge of ML Platform tools like Jupyter Notebooks, NVidia Workbench, MLFlow, Ray, Vertex AI, etc.
• Experience with modern ML Ops platforms such as MLFLow, Kubeflow or SageMaker preferred
• Experience in data platform product(s) and frameworks like Apache Spark, Flink or comparable tools in GCP and orchestration technologies (e.g. Kubernetes, Airflow)
• Deep understanding of machine learning workflows, including model training, deployment and monitoring
• Familiarity with data visualization tools and techniques
• Experience with boot strapping new teams and growing them to make a large impact
• Exceptional interpersonal and communication skills

Benefits

• Remote-friendly and flexible work culture
• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees regardless of level or role
• Employee Resource Groups, geographic neighbourhood groups and volunteer opportunities to build connections
• Vibrant office culture with world class amenities
• Great Place to Work CertifiedTM across the globe