Drweng
Machine Learning Specialist
Montreal
Sponsorship not specifiedDetected 23 days ago
Distributed SystemsMachine LearningDeep LearningTensorFlowPyTorchMLOpsResearchCommunicationCollaborationProblem Solving
About the role
- DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world.
- Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets.
Responsibilities
- Create and maintain feature pipelines, feature stores, model stores
- Optimize models for deployment on different hardware configurations
- Build frameworks to promote scalable and reproducible research
- Drive projects and lead new initiatives
- Actively engage with others on the team to resolve challenging design and coding issues
- Collaborate with stakeholders from different departments
Requirements
- A bachelor's or a master's degree in computer science, software engineering or equivalent
- Experience with building, validating, deploying, monitoring, and updating production models
- Experience with infrastructure and tooling for MLOps
- Experience with GPU programming using CUDA, OpenCL or similar libraries
- Experience optimizing inference performance (quantization, profiling, kernel/runtime tuning, serving engines)
- Experience with one or more of the following is an asset: distributed systems, multi-threaded programming, hardware/software interaction
- We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
- 5+ years of experience building software for machine learning systems
- Strong understanding of machine learning and deep learning concepts
- Excellent programming and scripting skills
- Strong problem-solving and analytical skills
- Excellent communication and collaboration skills
- Experience with machine learning frameworks such as TensorFlow, PyTorch, TensorRT, ONNX
Benefits
- Design and implement scalable and performant systems to serve machine learning models
- Optimize training and inference performance of deep learning models
This listing is sourced directly from Drweng's careers page and normalized into a canonical job model.