Machine Learning Engineer

Selby Jennings; Montreal; On-site; CAD 80,000 - 120,000; Full time

Job summary

An innovative trading firm is seeking a talented Machine Learning Engineer to join their Core AI & Machine Learning team. In this exciting role, you will design, build, and optimize data pipelines and machine learning models, working with massive datasets and implementing advanced deep learning architectures. You will contribute to groundbreaking projects that drive the future of trading and financial technology. This dynamic company offers a flexible, collaborative work environment in downtown Montreal, where creativity thrives and employees enjoy a healthy work-life balance. If you're passionate about machine learning and eager to make an impact, this opportunity is for you.

Benefits

Competitive salary with performance-based bonuses

5 weeks of paid vacation

Free daily meals

Reimbursement for health and wellness expenses

Access to events and workshops

Qualifications

• 2-8 years of experience in machine learning and deep learning.
• Hands-on experience with large-scale deep learning models.

Responsibilities

• Build and optimize scalable data pipelines for large datasets.
• Design and implement deep learning architectures for high-volume data.

Skills

Machine Learning

Deep Learning

Data Pipeline Optimization

Large Language Models

Time Series Analysis

BASH Scripting

SQL

Linux

Git

Python

Education

Bachelor's degree in a relevant field

Master's degree in a relevant field

PhD in a relevant field

Tools

PyTorch

TensorFlow

Job description

Machine Learning Engineer
Location: Montreal

About Us
We are a leading, high-frequency proprietary trading firm at the forefront of technological innovation. We are seeking a talented Machine Learning Engineer to join our Core AI & Machine Learning team, where you'll be contributing to groundbreaking projects that drive the future of trading and financial technology.

Role Overview
As a Machine Learning Engineer, you will be responsible for designing, building, and optimizing data pipelines and machine learning models. You will work with massive datasets, implement state-of-the-art deep learning architectures, and continuously enhance our machine learning systems to tackle complex challenges.

Key Responsibilities

• Build and optimize scalable data pipelines for ingesting, processing, and analyzing large datasets.

• Design and implement cutting-edge deep learning architectures to process high-volume data.

• Train, evaluate, and fine-tune Large Language Models (LLMs) for internal tasks and datasets.

• Conduct rigorous experiments to assess model performance, pushing the boundaries of efficiency and accuracy.

• Contribute to the optimization of existing machine learning models for enhanced real-time performance.

• Develop and maintain robust monitoring systems for production-level machine learning and deep learning models.

Qualifications

• A Bachelor's, Master's, or PhD (completed) degree in a relevant field from a top-tier university, with 2-8 years of professional experience in machine learning.

• Fluent in both French and English (written and spoken). Proficiency in English is essential for collaborating with international teams.

• Hands-on experience with training, developing, and deploying large-scale deep learning models.

• Strong expertise in building and implementing sequence-based models and time series analysis.

• Proficient in Linux, SQL, Git, and BASH scripting.

• Deep knowledge of Python and hands-on experience with frameworks such as PyTorch or TensorFlow.

What We Offer

• Competitive salary with performance-based bonuses.

• 5 weeks of paid vacation per year, ensuring a healthy work-life balance.

• Free daily meals: breakfast, lunch, and snacks.

• Reimbursement for health and wellness expenses.

• Access to cutting-edge events, workshops, and networking opportunities.

Our Work Environment
Located in the vibrant downtown of Montreal, our office is easily accessible by public transportation. We prioritize flexibility and creativity in a dynamic, cubicle-free workspace, where innovation thrives. Join us in a culture that celebrates collaboration, casual attire, and a commitment to quality of life.

Equal Opportunity Employer
We are proud to be an equal opportunity employer, fostering an inclusive environment where diverse perspectives are celebrated.