Principal Machine Learning Architect

Index Exchange•Toronto, ON

47d

About The Position

This is a ripe opportunity for a Principal Machine Learning Architect to help a successful ad tech company leverage ML to further optimize our wealth of data and elevate our world-class platform to greater heights. We have our first generation of successful ML projects live and are well on our way to our second. With Machine Learning continuing to mature, the ability to influence core architectures are huge and there are significant untapped business opportunities with our growing data and transaction volume. We are looking for a candidate with a track record of large-scale end to end ML solutions.

Requirements

Masters or PhD in a STEM field or equivalent experience in a Data Scientist or closely related role
Industry experience applying ML at scale
Extensive knowledge of production infrastructure and pipelines for ML models (MLOps)
Experience with several of the following: Classification, Regression, Pattern Recognition, Recommendation Systems, Targeting Systems, Ranking Systems
Experience with Python or other relevant programming languages and Machine Learning frameworks
Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures
Interest in performance optimizations
Deep knowledge of math, probability, statistics, and algorithms
Strong business acumen with the ability to work cross-functionally to source data, establish requirements and define success
Experience working with an advanced engineering team
Knowledge of best practices for software engineering
Bonus if you have a software engineering background
Published articles or papers

Nice To Haves

Experience with participating in the machine learning competitions such as Kaggle
Experience in ad tech (i.e. knowledge of digital programmatic advertising data)

Responsibilities

Design, develop and implementation of complex data-centric solutions, including large data set verification, transformation, and feature generation
Ensure continuous high-quality input for ML model development
Design and implementation of model delivery systems
Develop effective strategies on deployment and hosting of ML models
Manage and monitor deployed models
Ability to deploy fast or real time inferencing a plus

Benefits

Comprehensive health, dental, and vision plans for you and your dependents
Paid time off, health days, and personal obligation days plus flexible work schedules
Competitive retirement matching plans
Equity packages
Generous parental leave available to birthing, non-birthing, and adoptive parents
Annual well-being allowance plus fitness discounts and group wellness activities
Commuter benefits and discounts, where available
Employee assistance program
Mental health first aid program that provides an in-the-moment point of contact and reassurance
One day of volunteer time off per year and a donation-matching program
Bi-weekly town halls and regular community-led team events
Multiple resources and programming to support continuous learning
A workplace that supports a diverse, equitable, and inclusive environment