CentML

HQ
Toronto, Ontario, CAN
Total Offices: 2
50 Total Employees
Year Founded: 2022

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Jobs at CentML

Search the 6 jobs at CentML

Recently posted jobs

4 Days Ago
8 Locations
Hybrid
Machine Learning • Software
As a Senior Product Manager, you will lead the strategy and execution of products that optimize AI systems. Your responsibilities include developing a product vision, conducting market research, collaborating with cross-functional teams, defining product requirements, and ensuring successful product delivery, all while engaging with customers to refine features and deliver value.
10 Days Ago
Toronto, ON, CAN
Hybrid
Machine Learning • Software
As a Senior Software Engineer for LLM inference, you will write scalable, high-quality code for backend software, perform benchmarking and profiling for GPU applications, and conduct tests on the inference pipeline while collaborating with diverse teams.
10 Days Ago
Toronto, ON, CAN
Hybrid
Machine Learning • Software
Develop high-performance, power-efficient datacenter solutions for Deep Learning. Optimize GPU kernels, write tests, and benchmarks to evaluate solutions. Communicate with product teams to understand and address performance issues.
10 Days Ago
Toronto, ON, CAN
Hybrid
Machine Learning • Software
Build customer-facing applications, craft performant solutions, participate in code reviews, ensure quality and efficiency, meet customer and business needs.
10 Days Ago
Toronto, ON, CAN
Hybrid
Machine Learning • Software
As a Senior Software Engineer, you will optimize high-performance GPU kernels for Deep Learning applications by profiling ML/DL workloads, identifying performance bottlenecks, and enhancing system architecture. You’ll also develop tests and benchmarks to validate solutions.
15 Days Ago
Toronto, ON, CAN
Remote
Machine Learning • Software
The Software Engineer will contribute to the design and development of the CentML platform, focusing on scalable systems for large-scale machine learning workloads. Responsibilities include building solutions for ML training and inference on GPU clusters and collaborating with product teams to define use cases and performance benchmarks.