Find work in Canada.

333,145 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 17 mins ago
Manager, Data and Analytics Engineer
Royal Bank of Canada
Toronto, ON
Full-time
As Manager, Data and Analytics Engineer, you are responsible for transforming how data is used to drive business insights, reporting and decision-making.
Added 17 mins ago
Director, AI Delivery & Portfolio Management – Global Payments Technology
Royal Bank of Canada
Toronto, ON
Full-time
Added 30 mins ago
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
Full-time
…the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality and collaborating with analytics and product…
Added 30 mins ago
Specialist, Reliability Electrical Subsystem
CPKC
Calgary, AB
Full-time
Becoming a qualified conductor or locomotive engineer is the single best way for a management employee to learn the business at CPKC. You may be required to obtain a certification or to…
Added 30 mins ago
Senior Computer Vision Engineer
Radiant Systems Solutions, Inc
Quebec, QC
$90 to $100 CAD / hour
Part-time
We are seeking a Senior Computer Vision Engineer / Computer Vision Software Developer to develop and optimize advanced computer vision software.
Added 31 mins ago
Machine Learning Engineer
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Toronto, ON
We are seeking a highly capable Machine Learning Engineer with deep expertise in building Lang graph based agentic systems, Object-Oriented Python, and ML Ops. In this role, you will…
Added 31 mins ago
Principal Data Engineer
Xplore Inc
Markham, ON
Full-time
Partner with analytics, data science, and AI/ML teams to provision clean, well-documented datasets and features, and enable MLOps-friendly patterns.
Added 59 mins ago
Machine Learning Engineer
Netrolynx AI
Canada
Full-time
We are seeking a talented Machine Learning Engineer to join the Qualcomm AI Processor Solutions team. This role is pivotal in advancing the development of next-generation AI applications…
Added 59 mins ago
Data Engineer (Databricks) - Consultant
Deloitte
Toronto, ON
Full-time
Ready to shape the future of data and analytics? Join our team of innovative professionals who are helping organizations unlock the power of their data through cutting-edge Lakehouse…
Added 59 mins ago
Senior Data Engineer
National Bank of Canada
Montreal, QC
Full-time
…risk strategies team at National Bank means serving as a data analytics specialist. This position allows you to have a direct impact on transforming the organisation's analytical…
Added 59 mins ago
Data Engineer
Zodiac Solutions, Inc
Mississauga, ON
Full-time
Added 1 hour ago
Digital Architect
Joblinxsapp
AB · Edmonton, AB
Full-time
Design scalable solutions spanning applications, data, analytics, and integrations.
Added 1 hour ago
Technical Lead
Method Integration Inc.
Remote, Canada
$120,000 to $144,000 CAD / year
Full-time · Remote
Analytics and engagement tools: Google Tag Manager, Google Analytics, Segment, Amplitude, Intercom, Appcues and Datadog.
Added 1 hour ago
Software Development Engineer , Customer Service Technologies
Amazon
Vancouver, BC
We are seeking a Software Development Engineer to join the engineering team building the Network Control Center (NCC) - an AI-native system that will transform how Amazon detects, responds…
Added 1 hour ago
AI Business Analyst
Kelly
Toronto, ON
$50 to $66 CAD / hour
Contract
Professional experience supporting data science, artificial intelligence, machine learning, advanced analytics, or data-focused initiatives
Added 1 hour ago
Data Science Developer
Transit
Montreal, QC
$90,000 to $125,000 CAD / year
Full-time
…hybrid working arrangement before; or (2) are a senior data engineer currently yearning for the (metaphorical) white lab coat that will let you conduct lots of “data science-y” experiments…
Added 2 hours ago
Manager, Technology Services IMITS
Sanya’k̓ula
Vancouver, BC
Full-time
…industry certifications, such as Microsoft Certified System…
Added 2 hours ago
Senior Baggage Handling System Engineer
AtkinsRéalis
Toronto, ON
Full-time
AtkinsRéalis is seeking a Senior Baggage Handling System (BHS) Engineer for its Western Region. In this role, you will act as the Client's Representative in the execution of large-scale…
Added 2 hours ago
AI Engineer With Python - 8 Years
J2B Global LLC
Mississauga, ON
Full-time
…APIs and scalable enterprise solutions. Build AI-powered data analytics and self-service platforms. Optimize data pipelines for performance and scalability. Collaborate with Risk…
Added 2 hours ago
Data Scientist
BMO
Toronto, ON · BMOPLACE
Full-time
…experience, and drive productivity. Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics…
Added 2 hours ago
AI Engineer, Winter 2027 (Co-op/Internship) - 8 months
BMO
Toronto, ON · BMOPLACE
Full-time
Added 2 hours ago
Senior Software Engineer (Java)
Mastercard
Vancouver, BC
Full-time
Senior Software Engineer (Java)Job Description Summary
Added 2 hours ago
Senior Security Operations Engineer (Talent pool building)
League Inc.
Toronto, ON
…for our engineers to do the right thing. As a Senior SecOps Engineer you will care deeply about “what goes bump in the night”. You have peers in Security Engineering who care about “build…
Added 2 hours ago
Principal Research Scientist
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 2 hours ago
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
…the job search experience. They are seeking an entry-level AI Engineer to build and refine autonomous AI agents, develop sophisticated prompt engineering workflows, and integrate Large…

Copoly.ai

Machine Learning Engineer

Canada

Pay: $90,000 to $115,000 CAD / year
Job type: Full-time
Experience: Industry Experience: 1–5 years of relevant experience (inclusive of post-doctoral work)
Posting language: English
Posted: Sep 23, 2026

Apply About employer

Applications open in a new tab.

Original job description

About the role

At Copoly.ai, we are a dynamic biotech and AI company driving innovation by working on our own proprietary products and developing specialized solutions for our clients in pharma, biotech, and beyond. We are transforming the future of early cancer detection through AI-powered diagnostic solutions. Our flagship product, OncoSage, leverages RNA sequencing and proprietary machine learning algorithms to deliver accurate, blood-based cancer detection. We are committed to advancing the field of oncology through cutting-edge technology, improving patient outcomes, and detecting cancer at its earliest stages. Join us in our mission to make revolutionary strides in healthcare technology.

About the Job

We are looking for a highly motivated and skilled AI/ML Scientist to join our project team at Copoly. This role involves working with one of our pharma clients and is dedicated to transforming drug discovery by designing, developing, training, and deploying new engines for lab-in-the-loop molecular design and optimization. This work spans sequence, structure, conformational ensembles, and molecular property prediction, and architectural innovation from natural language, computer vision, and robotics. The successful candidate will work in a multidisciplinary environment alongside ML scientists, ML engineers, and drug designers at the research frontier.

Key Responsibilities

Model Development & Deployment: Design, optimize, evaluate, and deploy cutting-edge deep learning models (e.g., large language models, multi-modal transformers, generative models) and data pipelines.
Scaling & Infrastructure: Optimize and scale training and inference for performance and accuracy using multi-GPU and cloud infrastructure.
MLOps & Maintenance: Implement and manage MLOps workflows, including model deployment, version control, and performance monitoring to ensure robustness and reproducibility.
Multi-modal Data Integration: Develop algorithms to understand associations between diverse datasets, including omics (genomics, transcriptomics), imaging, and clinical data.
Scientific Collaboration: Collaborate with cross-functional teams to translate novel machine learning methods into impactful applications for disease understanding and clinical decision-making.

What we are looking for

Education: B.S., Master’s or PhD in Computer Science, Machine Learning, Computational Biology, Data Science, Statistics, Mathematics, or a related quantitative field.
Industry Experience: 1–5 years of relevant experience (inclusive of post-doctoral work)

Technical Skills

Software Engineering: Strong foundations in data structures, algorithms, and software engineering principles.
Programming: Expert-level proficiency in Python and extensive experience with deep learning frameworks such as PyTorch (preferred), JAX, or TensorFlow. An idea of how to debug that goes beyond pointing a coding agent at the problem.
Modeling & Infrastructure: Experience with large-scale distributed training (e.g., DDP, Ray, FSDP, DeepSpeed) and model deployment tools (e.g., Triton, ONNX).
AI/ML Specialization: Hands-on experience with geometric deep learning, cofolding models, or neural force fields is highly preferred.

Soft Skills & Professional Attributes

Problem Solving: Proven ability to take full ownership of technical challenges and proactively drive solutions from start to finish.
Communication: Strong technical communication skills with the ability to articulate complex concepts to both technical and non-technical audiences.
Domain Knowledge: Prior experience in drug discovery, genomics, or medical imaging is a plus but not required.

Compensation: CAD $90,000–$115,000 annually, commensurate with experience and qualifications.

Apply About employer

More about this job

Responsibilities

Design, train, evaluate, optimize, and deploy deep learning models and data pipelines for lab-in-the-loop molecular design and optimization. Scale training and inference, maintain MLOps workflows, integrate multimodal biological and clinical data, and collaborate with multidisciplinary teams to apply machine learning to drug discovery and disease understanding.

Requirements

A bachelor's, master's, or PhD in a quantitative field and 1–5 years of relevant experience are requested. Candidates should have strong software engineering foundations, expert Python skills, experience with deep learning frameworks and distributed training, and preferably experience with geometric deep learning, cofolding models, or neural force fields.

Skills

Python
PyTorch
JAX
TensorFlow
Deep Learning
Distributed Training
Model Deployment
MLOps
Multi-GPU Computing
Cloud Infrastructure
Geometric Deep Learning
Cofolding Models
Neural Force Fields
Data Pipelines
Multimodal Data Integration
Drug Discovery

Visa sponsorship

Not detected in the job text

Keywords

Python
PyTorch
JAX
TensorFlow
Large Language Models
Multimodal Transformers
Generative Models
Deep Learning
Distributed Training
DDP
Ray
FSDP
DeepSpeed
Triton
ONNX
MLOps
Multi-GPU Computing
Cloud Infrastructure
Geometric Deep Learning
Cofolding Models
Neural Force Fields
Molecular Design
Drug Discovery
Genomics
Transcriptomics
Medical Imaging
Omics
Clinical Data
Model Deployment
Data Pipelines

Report this job