Find work in Canada.

609,058 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 6 months ago
KC
Manager, Cyber Defence
KPMG Canada
Toronto, Ontario
- Full-time
…dedicated to the defense and protection of our client critical data, systems, and assets through cyber defense and incident response…
Added 5 months ago
KS
Senior VFX Artist | Artiste senior (effets visuels) - GameSim - Talent Pipeline
Keywords Studios
Canada
- Full-time
Understand complex material setups, blueprints, or scripting hooks; troubleshoot issues and partner with Tech Art/Engineering
Added 5 months ago
GM
DevOps pour infrastructure cloud - DevOps for Cloud Infrastructure
Gameloft Montreal
Montreal, Quebec
- Full-time
Are you a developer who is passionate about the infrastructure components that run and support your applications?
Added 5 months ago
W
DEVOPS SPECIALIST
Wyvern
Remote, Canada
- $100,000 to $120,000 USD / year
- Full-time
- Remote
…offers room to grow as Wyvern expands its constellation and its data…
Added 5 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 CAD / year
- Full-time
Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field.
Added 3 months ago
H
Engineering Lead
HSBC
Toronto, ON
- Full-time
You’ll be a tech-first Engineering Lead who brings fresh ideas, guides the team’s technical decisions, and keeps everyone moving towards clear outcomes (quality, reliability, and delivery).…
Added 3 months ago
MS
Senior Full Stack Engineer
Motorola Solutions
Vancouver, BC
- Full-time
…the world. You’ll join a highly collaborative, team-centric engineering culture that values strong analytical thinking, clean and pragmatic software design, and ownership from idea to…
Added 3 months ago
MT
Senior Engineer - Software
Microchip Technology Inc.
Toronto, ON
- Full-time
Microchip’s FPGA software engineering team is at the forefront of developing advanced Electronic Design Automation (EDA) software, empowering customers to program
Added 3 months ago
DC
Manager: Post-Merger Integration
Dillon Consulting Limited
London, ON
- Full-time
Proven proficiency in SQL and Python for data manipulation is considered an asset.
Added 2 months ago
Senior Security Engineer, AI & DevSecOps
Atlas HXM
Canada
…automation, and can translate security requirements into scalable, developer-friendly…
Added 4 months ago
T
LEO Flight Dynamics Analyst
Telesat
Ottawa, ON
- Full-time
…government customers for over 55 years. Backed by a legacy of engineering excellence, reliability and industry-leading customer service, Telesat has grown to be one of the largest and most…
Added 3 months ago
T
Senior Cloud Network Engineer
Telesat
Ottawa, ON
- Full-time
…government customers for over 55 years. Backed by a legacy of engineering excellence, reliability and industry-leading customer service, Telesat has grown to be one of the largest and most…
Added 3 months ago
TG
Database Engineer
TMX Group
Toronto, ON
- Full-time
…short- and long-term root cause analysis, collaborate across engineering teams, and coordinate with external vendors during critical system…
Added 1 month ago
BP
Senior Middleware Infrastructure Architect
BNP Paribas
Montreal, QC
- Full-time
Collaborate with product owners to translate business requirements into scalable messaging topologies and data contracts (Avro/Protobuf schemas).
Added 1 month ago
E
Production Engineer
Evertz
Burlington, ON
- Full-time
Degree or Diploma in Software, Electrical, Electronic or Computer Engineering
Added 1 month ago
MC
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
- Contract
Build production-grade ML solutions covering the complete lifecycle, including data preparation, transformation, feature engineering, model development, experimentation, training,…
Added 1 month ago
MC
Network Engineer (35135)
Myticas Consulting
Ottawa, ON
- Full-time
The Network Service Engineer will work closely with Commercial, Product, Sales Engineering, Customers, Network Engineering, and external contractor teams to provide technical guidance on…
Added 1 month ago
MC
DevOps Specialist - Kubernetes (35700)
Myticas Consulting
Ottawa, ON
- Full-time
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent professional experience
Added 1 month ago
L
Software Engineer Intern, Machine Learning (Summer 2027)
Lyft
Toronto, ON
- $46 to $53 CAD / hour
With over half a billion rides and counting, Lyft is solving hard problems in a flourishing domain with a lot of data and creative solutions in Marketplace, Mapping, Fraud, Growth and…
Added 1 month ago
Senior Backend Product Engineer, Menu Operations
HelloFresh
Toronto, ON
The role will work closely with engineering, product, culinary, editorial, and business teams to identify data issues, improve validation processes, and standardize best practices across…
Added 1 month ago
E
BI Dev/Ops Engineer, Sys Admin/Architect
eBay
Toronto, ON
- Full-time
The BI Platforms - Dev/Ops Engineer, System Admin, Systems Architect will be part of the Data Services team under the Information Technology Services and Solutions group that will design…
Added 1 month ago
MI
Deployment Engineer
Magna International
Aurora, ON
- Full-time
· Proficiency of SW languages (e.g. python, Linux, etc.) for task automation along with a solid understanding of data network concepts, and relevant technical degree or certifications.
Added 5 months ago
A
Software Engineer, ML Platform
Afresh
Remote, Canada
- $114,000 to $174,000 CAD / year
- Full-time
- Remote
The ML Platform Engineering team at Afresh is responsible for building and maintaining the foundational infrastructure and tooling that powers all of our machine learning and applied…
Added 5 months ago
L
Senior Specialist - Data Engineering
LTM
Toronto, Ontario
- $100,000 to $120,000 CAD / year
- Full-time
Knowledge of data visualization tools eg Qlik Python Power BI SAP BO
Added 5 months ago
TA
Forward Deployment Engineer (Generative AI)
Tiger Analytics
Canada
- Full-time
…firm. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate…

Afresh

Software Engineer, ML Platform

Remote, Canada

Remote

$114,000 to $174,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $114,000 to $174,000 CAD / year
Job type: Full-time
Workplace: Remote
Experience: 3+ years of professional software development experience with a proven track record of shipping high-quality applications and services.
Posting language: English
Posted: May 18, 2026

Original job description

The ML Platform Engineering team at Afresh is responsible for building and maintaining the foundational infrastructure and tooling that powers all of our machine learning and applied science solutions. We provide the shared components and services that enable our teams to develop, deploy, and scale robust ML models. This includes a performant data API, configurable featurization, reliable forecasting systems, highly parallel optimization engines, and scalable training pipelines, and deep experimentation capabilities. As our product suite and customer base grow, so does the scale and complexity of what our platform needs to support, gracefully accommodating predictions and simulations across various time scales (hours, days, weeks), complex data hierarchies (pallets on a truck, shelves of mangos in a store, chunks of fruit in a bowl), and endless configuration possibilities (average shelf fullness, backroom loads, truck capacities). About the Role As an ML Platform Engineer on the ML Platform Engineering team, you will be instrumental in elevating our core ML platform to its next level of performance, reliability, and scalability. You'll work on the critical infrastructure that directly enables all of Afresh's Machine Learning and Applied Science teams to innovate faster and deliver impact. Your contri butions will empower our product suite, including our flagship Prediction Engine, to power replenishment decisions on more than 15% of all produce sold in the United States. What You'll Do In your first 3 months, you might deliver a feature that helps generalize model configuration, enables no-code model deploys for our various ML solutions, or vastly improves integration testing across our ML systems. By the end of your first 6 months, you will have owned the implementation of significant scalability improvements and additions to our ML platform. This might include new feature pipelines that power our recommendation engine, or work to stand up the first instance of real-time inference at Afresh. Skills and Experience BS in Computer Science or a relevant technical field. 3+ years of professional software development experience with a proven track record of shipping high-quality applications and services. Experience working collaboratively with machine learning engineers, data scientists, or applied scientists on large-scale software projects involving machine learning models. Deep expertise in library design, API design, data structures, and algorithms. Strong familiarity with Python. Experience working collaboratively with machine learning engineers, data scientists, or applied scientists on large-scale software projects involving machine learning models. You possess a genuine curiosity about ML modeling (e.g., demand forecasting, state estimation, ordering policy). You aren't just building "pipes"; you want to understand what is flowing through them. You have an understanding of how scientists work and build tools that bridge the gap between a research notebook and production-grade software. Tech Stack: Our backend is pure Python (NumPy, Pandas, Torch, PySpark, Cython, orchestrated in Airflow). We use Databricks as our data warehouse. While we'd like you to have very good familiarity with Python, many of our problems are stack-agnostic. This position is not eligible for company sponsorship. Salary Band in Canada (CAD): $114,00 - 174,000

Apply About employer

More about this job

Responsibilities

As an ML Platform Engineer, you will enhance the core ML platform's performance, reliability, and scalability. Your work will support Afresh's Machine Learning and Applied Science teams in delivering impactful solutions.

Requirements

Candidates should have a BS in Computer Science or a relevant field and at least 3 years of professional software development experience. A strong background in Python and collaboration with ML engineers or data scientists on large-scale projects is essential.

Skills

Python
Machine Learning
API Design
Data Structures
Algorithms
Library Design
Collaboration
Featurization
Forecasting Systems
Optimization Engines
Training Pipelines
Experimentation
Integration Testing
Real-Time Inference
Data Warehousing
Curiosity About ML

Visa sponsorship

Not detected in the job text

Keywords

Software Engineer
ML Platform
Machine Learning
Applied Science
Data API
Featurization
Forecasting
Optimization
Training Pipelines
Experimentation
Python
NumPy
Pandas
Torch
PySpark
Airflow
Databricks
Real-Time Inference
Scalability
Integration Testing
Recommendation Engine
Demand Forecasting
State Estimation
Ordering Policy
Data Structures
Algorithms
Library Design
API Design
Collaboration
Curiosity About ML

Report this job