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Added 2 months ago
AI Engineer
Guidepoint
Toronto, ON
Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a…
Added 1 month ago
ML Systems Software Development Engineer Intern, Annapurna Labs - 2027
Amazon
Toronto, ON
…sharding and model execution, build benchmark and measurement infrastructure, or tackle architectural bottlenecks that shape future Trainium designs. The best ideas do not stay trapped in…
Added 5 months ago
A
Senior Software Engineer, CMS (Modernization of Registry)
AutoScout24
Toronto, Ontario
- Full-time
…runtimes, strengthening CI/CD and observability, and adopting Infrastructure as Code - alongside pragmatic AI-assisted development and intelligent…
Added 5 months ago
H
Senior Software Engineer
Helcim
Calgary, Alberta
- Full-time
As a Senior Engineer you will be building and deploying high-quality software solutions. You will continually be involved in mentoring and coaching, ensuring you and your team are…
Added 5 months ago
C
Applied AI Engineer
Cryptio
Remote, Canada
- Full-time
- Remote
We're hiring our first Applied AI Engineer to work directly with our Advisory Intelligence Product Engineer and the VP of Advisory Intelligence on net-new product. You'll have full-stack…
Added 5 months ago
P
Senior Software Engineer, Platform Engineering
PointClickCare
Mississauga, Ontario
- $142,700 to $158,600 CAD / year
- Full-time
…and patients. We may not own every part of the stack, but we engineer the APIs, abstractions, and interfaces that piece it together meaningfully - and we own the design, implementation,…
Added 5 months ago
C
Software Engineer (Full Stack)
Citylitics
Toronto, Ontario
- $120,000 to $140,000 CAD / year
- Full-time
Citylitics delivers predictive intelligence on where, how, and why infrastructure investments will occur across North America.
Added 3 months ago
MS
Senior Full Stack Engineer
Motorola Solutions
Vancouver, BC
- Full-time
Cloud Infrastructure: Develop and operate software for deploying, managing, and monitoring production systems and cloud infrastructure.
Added 1 month ago
I
Sr. Staff Developer, Architecture
iQmetrix
Winnipeg, MB
- Full-time
We are hiring a Principal Engineer, Architecture. This is a senior individual contributor role for someone who is still happiest with their hands on the keyboard, and who thinks in systems…
Added 1 month ago
I
Sr. Staff Developer, Architecture
iQmetrix
Toronto, ON
- Full-time
We are hiring a Principal Engineer, Architecture. This is a senior individual contributor role for someone who is still happiest with their hands on the keyboard, and who thinks in systems…
Added 5 months ago
A
Software Engineer, ML Platform
Afresh
Remote, Canada
- $114,000 to $174,000 CAD / year
- Full-time
- Remote
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.…
Added 5 months ago
ES
DevOps Engineer - EA Sports Technology
EA SPORTS
Vancouver, British Columbia
- Full-time
The DevOps team is seeking an experienced DevOps Engineer to join the organization. This role is ideal for someone with a strong passion for technology and deep experience designing,…
Added 5 months ago
K
Senior Software Engineer, Agents
Klue
Vancouver, British Columbia
- $140,000 to $196,000 CAD / year
- Full-time
…code. You're comfortable with Python and have experience with backend frameworks, APIs, and production infrastructure. You care about reliability, observability, and…
Added 3 months ago
MF
Software Engineer - Magnet One (front-end, back-end, or full-stack opportunities)
Magnet Forensics
Toronto, ON · Ottawa, ON · Waterloo, ON
- Full-time
Added 1 month ago
Staff Backend Product Engineer, Operations Technology (all genders)
HelloFresh
Toronto, ON
We're looking for a Staff Backend Engineer to join our Ingredient to Product tribe at HelloFresh. This is a high-impact individual contributor role sitting at the intersection of Food…
Added 1 month ago
I
Sr. Staff Developer, Architecture
iQmetrix
Vancouver, BC
- Full-time
We are hiring a Principal Engineer, Architecture. This is a senior individual contributor role for someone who is still happiest with their hands on the keyboard, and who thinks in systems…
Added 1 month ago
PU
Staff Software Engineer
Purpose Unlimited
Remote, Canada
- Full-time
- Remote
Full-stack depth - you move between frontend, backend, and infrastructure when the problem demands it.
Added 1 month ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 6 months ago
L
Sr. Staff Physical Design Timing Engineer (STA)
Lightmatter
Toronto, Ontario
- Full-time
We are hiring a Physical Design Timing Engineer to help drive backend digital execution for some of the leading photonics based interconnect solutions. You will work alongside a team of…
Added 3 months ago
S
Senior Software Engineer in Test (SDET)
Solink
Remote, Canada
- $115,000 to $147,500 CAD / year
- Full-time
- Remote
We're looking for a Software Development Engineer in Test (SDET) to join our Device Management team.
Added 5 months ago
H
AI Engineer - Remote
Huzzle.com
Canada
- Full-time
We are looking for a highly skilled AI Engineer to design, build, and deploy AI-driven applications and machine learning solutions. You'll work closely with product, engineering, and data…
Added 5 months ago
MA
AI Intern / AI Engineer
Metry AI
Remote, Canada
- Remote
Experience with microservices or backend infrastructure.
Added 5 months ago
C
Senior Software Engineer (Full Stack)
Citylitics
Toronto, Ontario
- $130,000 to $160,000 CAD / year
- Full-time
Citylitics delivers predictive intelligence on where, how, and why infrastructure investments will occur across North America.
Added 3 months ago
S
Senior Full Stack Engineer, App Runtime
Snowflake
Toronto, Ontario
- $245,250 to $295,250 CAD / year
- Full-time
As a Senior Full Stack Engineer, you will drive initiatives that span our product areas and tech stack. It’s a high-impact role - you will work on an early-stage, public-preview product.…
Added 1 month ago
Principal Software Developer - Full Stack (Unity, C#)
Zynga
Toronto, ON
…mission-driven culture working on a new game. We need a self-driven engineer who confronts challenges with optimism, communicates clearly and easily, and takes a great deal of pride in…

Afresh

Software Engineer, ML Platform

Remote, Canada

Remote

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

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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

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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

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