Machine Learning Engineer II

BetterCloud; Toronto; On-site; CAD 91,000 - 114,000; Full time

Job summary

A leading tech company in Toronto is seeking a Machine Learning Engineer to lead the research and development of models predicting vehicle sale prices. The ideal candidate will have a graduate degree in a computationally intensive field, strong skills in Python and SQL, and experience in ML model development. This role offers a competitive salary of $91,000.00 - $114,000.00 CAD annually, without visa sponsorship.

Qualifications

• Strong project experience in ML through research, publications, or prototypes.
• Familiarity with the ML model development lifecycle.
• Ability to develop data pipelines that feed ML models.

Responsibilities

• Work with ML engineers to build and monitor ML applications.
• Develop data pipelines and ML models from proof of concept to production.
• Document work processes including experiments and parameter tuning.

Skills

Python

SQL

Data manipulation (e.g., Pandas)

Tree-based algorithms (XGBoost, CatBoost, LightGBM)

Generalized linear models (GLM)

Education

Graduate education (MS or PhD) in a computationally intensive domain

Bachelor’s degree with 2-4 years of experience

Tools

Vertex AI

Kubeflow

ClearML

AWS

GCP

Docker

CI/CD

Job description

What you will do:

ACV’s Machine Learning Team is looking for a talented Machine Learning Engineer to join our pricing domain. You will be leading the research and development of models that power the prediction of vehicle sale prices on the ACV marketplace.

Successful candidates will demonstrate excellent skill and maturity, be self-motivated as well as team-oriented, and have the ability to support the development and implementation of end-to-end ML-enabled software solutions to meet the needs of their stakeholders. Those who will excel in this role will be those who listen with an ear to the overarching goal, not just the immediate concern that started the query. They will be able to show their recommendations are contextually grounded in an understanding of the practical problem, the data, and theory as well as what product and software solutions are feasible and desirable.

The core responsibilities of this role are

• Working with fellow machine learning engineers to build, automate, deploy, and monitor ML applications.
• Developing data pipelines that feed ML models.
• Developing ML models from proof of concept to production
• Mining structured & unstructured data, and performing EDAs.
• Documenting the work process, including experiments and parameter tuning
• Monitoring performance of models in production.

Required Qualifications:

• Graduate education (MS or PhD) in a computationally intensive domain or a Bachelor’s degree with 2-4 years of experience
• Demonstrated project experience in the form of research, publications, prototypes, or open-source contributions in ML
• Proficiency with Python, SQL, and common data manipulation libraries (e.g., Pandas)
• Knowledge of ML frameworks and libraries. Experience on tree-based algorithms (XGBoost, CatBoost, LightGBM etc.), and Generalized linear models (GLM) are highly valued.
• Experience with ML model development lifecycle

Preferred Qualifications:

• Experience with MLOps-specific tooling like Vertex AI, Kubeflow, or ClearML, etc. are a plus.
• Experience with model interpretation
• Experience with cloud services (AWS / GCP), Docker, and CI/CD.
• Experience with building data pipelines

Compensation

$91,000.00 - $114,000.00 CAD annually. Please note that final compensation will be determined based upon the applicant's relevant experience, skillset, location, business needs, market demands, and other factors as permitted by law.

No immigration or work visa sponsorship will be provided for this position.