
Member of Technical Staff, ML Workload Platform
Posted 8 hours ago

Posted 8 hours ago
This is a fully remote position, open to applicants in Canada, +1 more country.
• Take charge of the platform responsible for scheduling and executing training, evaluation, and reinforcement-learning tasks on Kubernetes.
• Oversee capacity distribution, job failures, and platform-related visibility for researchers.
• Develop networking and runtime isolation, which includes agent and sandbox environments.
• Collaborate with the data infrastructure team to manage checkpoint and training-artifact storage.
• Diagnose production failures and address performance issues.
• Create automation, infrastructure-as-code, and observability solutions for enhanced maintainability.
• Partner with AI researchers and ML engineers to ensure stability, scalability, and observability.
• Engage in a compensated 24x7 on-call rotation.
• Proven experience operating a job platform, batch system, or Kubernetes controllers in a production environment.
• Familiarity with scheduling, queues, and ensuring multi-tenant fairness.
• Strong understanding of distributed systems, including retries, partial failures, and identifying what should not be automated.
• Experience with machine learning training workflows, reinforcement learning sandboxes, container networking (CNI), or large-scale checkpoint storage.
• Direct experience with GPU clusters is advantageous.
• Proficiency in programming using Python or Go.
• Experience collaborating with researchers, ML engineers, or teams with varying objectives.
• Track record of identifying bottlenecks, suggesting solutions, and implementing fixes in a fast-paced environment.
• Willingness to participate in a compensated 24x7 on-call rotation.
• Authorized to work in the country of residence.
• Must be prepared to address questions regarding Kubernetes at scale and ML/HPC infrastructure, including GPU/TPU clusters, JAX, PyTorch, TensorFlow, and high-performance computing settings.
• Weekly lunch stipend of $75/£75 or the equivalent in local currency.
• Comprehensive health and dental coverage.
• Dedicated budget for mental health support.
• RRSP matching program.
• 401K plan.
• Pension scheme.
• 100% parental leave top-up for up to 6 months, applicable to either parent.
• Annual enrichment allowance for arts and culture, fitness/wellness, quality time, and workspace enhancements.
• Education and learning stipend for conferences, courses, and coaching opportunities.
• 6 weeks of paid vacation (30 working days).
• Travel budget for visiting other offices if working remotely.
• Annual company offsite event.
• Daily lunch program, snacks, and frequent community and social activities for in-office employees.
• Co-working benefit available for employees not located near an office.
• $500 stipend for home office setup.
• Compensated 24x7 on-call rotation.
Veeam Software
Veeam Software
AECOM
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