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Biomedical Scientist jobs in Canada

Machine Learning Researcher

DRW

Montreal (administrative region)
On-site
CAD 100,000 - 150,000
28 days ago
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Machine Learning Researcher - Scalable ML Systems

DRW

Montreal (administrative region)
On-site
CAD 100,000 - 150,000
28 days ago

Data Scientist

BDO Canada

Kitchener
On-site
CAD 74,000 - 112,000
28 days ago

Data Scientist: Dashboards & Predictive Analytics

BDO Canada

Kitchener
Hybrid
CAD 74,000 - 112,000
28 days ago

Senior Machine Learning Scientist

Ada

Canada
Remote
CAD 125,000 - 150,000
29 days ago
discover more jobs illustrationDiscover more opportunities than anywhere else. Find more jobs now

Senior ML Scientist, AI-Driven Customer Support

Ada

Canada
Remote
CAD 125,000 - 150,000
29 days ago

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Similar jobs:

Data Scientist jobs
Machine Learning Researcher
DRW
Montreal (administrative region)
On-site
CAD 100,000 - 150,000
Full time
28 days ago

Job summary

A leading trading firm in Montreal is seeking a Machine Learning Quantitative Researcher. The role involves designing scalable systems for machine learning models and requires an advanced degree along with 4+ years of relevant experience. The ideal candidate will have strong analytical skills and be proficient in software engineering for machine learning, including experience with GPU programming. The position offers industry-leading benefits, a commitment to continuous learning, and a supportive work culture focused on employee well-being.

Benefits

Industry leading benefits package
Focus on work-life balance
Community initiatives and volunteer programs

Qualifications

  • PhD in computer science, mathematics, physics, or software engineering preferred.
  • 4+ years of building software for machine learning systems.
  • Strong understanding of machine learning algorithms and statistics.

Responsibilities

  • Research and implement scalable systems for machine learning models.
  • Own the model lifecycle from idea to production.
  • Optimize performance for training and inference.

Skills

Software engineering for ML systems
Probabilities and statistics
Machine learning algorithms
Clean, modular code
Problem-solving skills
GPU programming (CUDA, OpenCL)
MLOps infrastructure

Education

Advanced degree in relevant field
Job description

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. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

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. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

Machine learning quantitative researcher to join us. In this role you will design, implement and deploy critical systems for our machine learning models and have the chance to make great impact to our business. The role blends software engineering, machine learning, quantitative research and market intuition. As a member of our team, you will be surrounded by cutting-edge technology and experienced machine learning and software professionals providing you with the best possible environment to succeed. You will always have interesting new projects to apply your skillset while also becoming an expert on certain areas.

Responsibilities
  • Research, design and implement scalable and performant systems to serve machine learning models
  • Own the full model lifecycle: from idea to production and ongoing performance monitoring
  • Optimize training and inference performance of machine learning models
  • Optimize models for deployment on different hardware configurations
  • Drive projects and lead new initiatives
  • Facilitate discussions on code implementation, testing and software architecture
  • Actively engage with others on the team to resolve challenging design and coding issues
  • Collaborate with stakeholders from different departments
Qualifications
  • Advanced degree (preferably PhD) in computer science, mathematics, physics, software engineering or equivalent
  • 4+ years of experience building software for machine learning systems
  • Strong background in probability, statistics and information theory
  • Deep understanding of machine learning algorithms
  • Strong experience in writing clean, modular, efficient and testable code
  • Experience with building, validating, deploying, monitoring, and updating production models
  • Experience with infrastructure and tooling for MLOps
  • Strong problem-solving and analytical skills
  • Excellent communication and collaboration skills
  • Ability to learn quickly and provide solutions in a high pressure environment
  • Experience with GPU programming using CUDA, OpenCL or similar libraries
  • Experience with one or more of the following is an asset: distributed systems, multi-threaded programming, hardware/software interaction
What DRW Montreal has to offer you
  • Recognized as one of Canada’s Best Employers for the past 8 years
  • Committed to continuous learning & development
  • Industry leading benefits package and perks
  • Focused on employee well-being and work-life balance
  • Community initiatives, volunteer program and opportunities for giving back

If you are an experienced software developer who is passionate about machine learning and enjoys working with cutting-edge technologies and solving complex problems, we encourage you to apply for this exciting position. You will have the opportunity to work with a talented and dedicated team to create innovative solutions that can make a significant impact to our business.

For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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