Machine Learning Specialist

Posted 17 Days Ago
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Montréal, QC
Senior level
Fintech • Financial Services
Our people make us exceptional.
The Role
As a Machine Learning Engineer, you will design and implement scalable systems for machine learning models, optimizing their performance and collaborating with various stakeholders. Your responsibilities include creating pipelines, monitoring production models, and driving new initiatives while working with advanced technologies in a supportive team environment.
Summary Generated by Built In

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.  

Our team works on a variety of high-impact machine learning projects across DRW's businesses, and we are looking for a Machine learning engineer to join us. In this role you will build critical systems for our machine learning models and have the chance to make great impact to our business. As a member of our team, you will be surrounded by cutting-edge technology and experienced machine learning, data 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:

  • Design and implement scalable and performant systems to serve machine learning models
  • Optimize training and inference performance of deep learning models
  • Create and maintain feature pipelines, feature stores, model stores
  • Monitor production models and setup retraining infrastructure to improve performance
  • Optimize models for deployment on different hardware configurations
  • Build frameworks to promote scalable and reproducible research
  • Drive projects and lead new initiatives
  • Facilitate discussions on code implementation, testing, software architecture best practices
  • Actively engage with others on the team to resolve challenging design and coding issues
  • Collaborate with stakeholders from different departments


Qualifications:

  • A bachelor’s or a master’s degree in computer science, software engineering or equivalent
  • 6+ years of experience building software for machine learning systems
  • Strong understanding of machine learning and deep learning concepts
  • Excellent programming and scripting skills (we predominantly work in Python and Go)
  • 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
  • Experience with machine learning frameworks such as TensorFlow, PyTorch, TensorRT, ONNX
  • Experience with GPU programming using CUDA, OpenCL or similar libraries
  • Experience with one or more of the following is an asset: distributed systems and cloud computing (Kubernetes, Docker, GCP, AWS), 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

Find out more about all of our perks & benefits at: https://drw.com/work-at-drw/montreal-benefits


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.

California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.

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Top Skills

Go
Python

What the Team is Saying

Elaine
Omar
Kumbi
Carissa
Alex
Brawnski
Michelle
The Company
HQ: Chicago, IL
1,825 Employees
Hybrid Workplace
Year Founded: 1992

What We Do

A diversified trading firm that utilizes our own capital and trades at our own risk. We bring sophisticated technology and exceptional people together to solve complex problems in markets around the world and across many asset classes. We are motivated to compete at the highest level and commit to operate with respect, curiosity and an open mind.

Why Work With Us

The DRW approach is simple: tenure, experience and titles don’t matter as much as ideas, execution and results. We believe in creating opportunity to take on more complex problems, more interesting projects and more specialized skills. It’s a results-driven environment where friendships grow and respect is the norm.

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DRW Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

note -- allowing flexibility / 3+ days per week

Typical time on-site: Not Specified
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