Find work in Canada.

611,053 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 3 months ago
MH
Software Development Team Lead
Maya HTT
Remote, Canada
- Full-time
- Remote
Maya HTT is a world leading software developer and engineering solutions provider focused on CAE, CAD, CAM and PLM. A long-time partner of Siemens Digital Industries Software, Maya HTT…
Added 3 months ago
Sr Guidewire Developer -PolicyCenter
Aviva
Markham, ON
As a Senior Guidewire PolicyCenter Developer, you will be responsible for the design, configuration, and development of PolicyCenter solutions that support Aviva’s core policy lifecycle.…
Added 1 month ago
A
Sr. Design Lead
AMD
Markham, ON
- $131,440 to $197,160 CAD / year
- Full-time
…pre-silicon technical issue. Expertise in scripting (Perl, Tcl or python) is a must. You should be able strike a balance between collaborative problem-solving and independent solution…
Added 1 month ago
F
Performance Marketing Manager
FLiiP
Montreal, QC
- $100,000 to $130,000 CAD / year
- Full-time
Experience writing Python or JavaScript scripts for custom API connections
Added 1 month ago
AW
Senior Delivery Consultant - Connect and Lex, Amazon Connect Center of Delivery Excellence
Amazon Web Services (AWS)
Toronto, ON
- Full-time
5+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and…
Added 1 month ago
Q
FY27 Intern - Machine Learning Compiler & Performance Engineering Intern - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
Contribute to Qualcomm's ML compiler stack to improve performance, efficiency, scalability, and developer productivity.
Added 1 month ago
PA
AI Research Engineer, Computer Vision & VLMs
Palona AI
Toronto, ON
- Full-time
Strong Python skills and experience with PyTorch or an equivalent deep learning framework, along with modern training and evaluation tooling.
Added 1 month ago
Q
FY27 Intern - Display IP Engineering Internship - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
MIPI DSI, HDMI, DisplayPort, AXI, AHB, Perl, Python, TCL, TCSH, GNU Make
Added 1 month ago
Q
FY27 Intern - Compute DSP/AI Processor Engineering Internship - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
Implement reference and bus-functional models using C++, SystemC, or Python
Added 1 month ago
Q
Machine Learning Engineer, AI Processors (New Grad to Engineer Level)
Qualcomm
Markham, ON
- Full-time
Strong software development skills in Python and/or C++,
Added 1 month ago
P
Credit Tech senior Manager
PwC
Toronto, ON
- Full-time
…and statistical and modeling environments (for example, SAS, Python,…
Added 1 month ago
OA
Product Developer - OpenRoad Auto
OpenRoad Auto Group
Richmond, BC
- Full-time
Strong backend development experience with Node.js, .NET/C#, Python, or similar technologies.
Added 1 month ago
IS
Senior Machine Learning / AI Engineer
INETCO Systems Ltd.
Vancouver, BC
- Full-time
Strong experience with Python and common machine learning frameworks.
Added 5 months ago
L
Generative AI Developer – Microsoft Azure AI Stack
Lantern
Toronto, Ontario
- Full-time
We are looking for a hands-on Generative AI Developer with strong experience in building intelligent applications using the Microsoft Azure AI stack. As part of a Microsoft partner…
Added 5 months ago
AA
Python Backend Engineer (AI & Scalable Systems)
Apex Align Agency
Remote, Canada
- $110,000 to $145,000 CAD / year
- Full-time
- Remote
We are looking for a strong Python Backend Engineer who can design and build scalable, production-grade backend systems across AI, automation, and cloud-native environments.
Added 5 months ago
A
Full-Stack Engineer - Production Planning
Afresh
Ontario
- $114,000 to $174,000 CAD / year
- Full-time
Backend/Data: Python, PostgreSQL, GraphQL, DBT, or Databricks.
Added 2 months ago
R&D Project Manager
Cyclic Materials Inc.
Kingston, ON
Added 3 months ago
CI
Lead Engineer, Total Fund Management Financing, Public Markets Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
Strong knowledge of software architecture, distributed systems, microservices, event-driven architecture, Python, containers and application observability
Added 1 month ago
AI Prompt Engineering Developer
Capco
Toronto, ON
This is an opportunity for an experienced Software Developer with a strong understanding of AI-assisted development and prompt engineering. Ideally this person will have hands-on…
Added 3 months ago
TD
Technical Lead - Five9
TELUS Digital
Remote, Canada
- $132,000 to $165,000 CAD / year
- Full-time
- Remote
Five9 certification(s) (e.g., Five9 Administrator, Implementation, or Application Developer), or progress toward certification.
Added 3 months ago
PS
Senior Developer, Private Markets Solutions Delivery
Public Sector Pension Investment Board
Montreal, QC
- Full-time
As a Senior Developer, Integration, you will design, develop and maintain robust, scalable integration solutions in close collaboration with our business partners. More specifically, you…
Added 3 months ago
S
Senior ML Research Engineer, Virtual Cell
SandboxAQ
Remote, Canada
- $125,800 to $222,000 CAD / year
- Full-time
- Remote
Software Engineering: Strong Python programming skills and experience with modern ML frameworks (e.g. PyTorch, JAX) and experiment tracking/data versioning tools (e.g. Weights & Biases).
Added 2 months ago
AI Engineer
Guidepoint
Toronto, ON
Strong Software Engineering Fundamentals: Deep expertise in Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio). Proficiency in designing…
Added 1 month ago
TH
Post-Doctoral Clinical Research Fellow, Division of Endocrinology
The Hospital for Sick Children
Toronto, ON
- Full-time
Proficiency in R, SAS, Stata, Python, or equivalent statistical software.
Added 1 month ago
RV
Manufacturing Test Developer, Product Engineering
Ross Video
Iroquois, ON
- Full-time
The Test Developer II within Product Engineering plays a key role in ensuring the performance, reliability, and quality of Ross Video products through comprehensive testing, automation, and…

SandboxAQ

Senior ML Research Engineer, Virtual Cell

Remote, Canada

Remote

$125,800 to $222,000 CAD / year · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: $125,800 to $222,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Jul 17, 2026

Original job description

About SandboxAQ

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors.

We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders.

At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact.

The Opportunity

The AI Sim R&D team builds leading-edge ML and physics-based models ("LQMs") to advance drug discovery. Within this team, AQCell is our virtual cell platform: it takes a cell representation (e.g. basal gene expression) and a perturbation descriptor (e.g. SMILES, dose, and time), predicts the resulting transcriptomic response, and maps that response through pathway activity to functional endpoints such as cell viability, IC50, and toxicity dose-response - helping drug discovery scientists understand the biological repercussions of a compound across the cell, not just whether it binds its target.

As a Machine Learning Engineer on AQCell, you will build and maintain the models and data infrastructure that power this pipeline. You will work across large, heterogeneous transcriptomic and functional-endpoint datasets (e.g. LINCS L1000, GDSC, Tahoe-100M, and DILImap), train and evaluate expression-perturbation and cell-viability prediction models over them, and help harden our evaluation pipeline and baselines so we can trust and improve model performance over time. This role sits at the intersection of machine learning and biology, and offers the opportunity to shape how virtual cell models are trained, validated, and scaled toward real drug discovery decisions.

Key Responsibilities

Model Development: Build, train, and maintain machine learning models for expression-perturbation prediction (e.g. transcriptomic response to a drug perturbation) and downstream functional-endpoint prediction (e.g. cell viability, IC50, toxicity dose-response).
Large-Scale Dataset Management: Acquire, harmonize, and manage large-scale biological datasets (e.g. LINCS L1000, GDSC, Tahoe-100M, DILImap) - including schema harmonization, normalization, and de-duplication across cell, drug, and assay identifiers - and manage model training pipelines over these pooled datasets.
Evaluation & Baselines: Contribute to automating and hardening the end-to-end evaluation pipeline, including implementing robust statistical baselines (e.g. cell- and drug-conditioned mean baselines) to rigorously benchmark model performance.
Research Translation: Translate ideas from the scientific literature (e.g. transformer-based perturbation models, knowledge graph and GNN-based embeddings) into working, well-tested code integrated into our modeling framework.
Cross-Functional Collaboration: Partner with computational biologists, software engineers, and product stakeholders to ensure models are grounded in sound biology and are usable in real drug discovery workflows.
Communication: Clearly document methods, assumptions, and results, and communicate findings to both technical and non-technical stakeholders.

Essential Skills & Experience

Academic Foundation: Bachelor's degree in a scientific or quantitative field (Computer Science, Physics, Mathematics, Biology, Chemistry, or related); an advanced degree (MS or PhD) is preferred.
Applied ML in Science: Demonstrated experience building and maintaining machine learning models in a scientific discipline in an industry setting, including taking models from prototype through validation and maintenance; experience in a life sciences setting is preferred.
Large-Scale Data Management: Required experience managing large-scale datasets and managing the training of models over them, including data ingestion, cleaning, versioning, and pipeline maintenance at scale.
Software Engineering: Strong Python programming skills and experience with modern ML frameworks (e.g. PyTorch, JAX) and experiment tracking/data versioning tools (e.g. Weights & Biases).
Scientific Rigor: Ability to design sound evaluation methodology (e.g. train/test splitting strategies, held-out generalization tests) and to critically interpret model performance against meaningful baselines.

Highly Desired Skills & Experience

Bioinformatics & Computational Biology: Experience with bioinformatics and computational biology data analysis tools, particularly transcriptomics harmonization and normalization tools (e.g. batch correction, pseudobulking, gene ID mapping/standardization).
Domain Datasets: Familiarity with public perturbation or drug-sensitivity datasets such as LINCS L1000, GDSC, DepMap, or single-cell perturbation atlases.
Knowledge Graphs & GNNs: Experience with knowledge graph embeddings or graph neural networks applied to drugs, targets, or cells.
Cheminformatics: Familiarity with cheminformatics representations (SMILES, InChI keys, PubChem/Cellosaurus identifiers) used to harmonize drug and cell metadata across datasets.
Collaborative Innovation: Experience working in interdisciplinary environments where AI intersects with the biological sciences.

Why Join Us?

We offer competitive compensation, a comprehensive benefits package, and opportunities for professional growth.

Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation.
Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits.
Work-Life Balance: Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance.
Career Development: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs.

SandboxAQ Welcomes All

We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges.

Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know.

Read: Guidance for candidates on using AI Tools in interviews

Apply About employer

More about this job

Responsibilities

Architect, scale, and optimize scientific codebases to power Large Quantitative Models for drug and materials discovery. Transition high-impact research prototypes into robust, production-grade software and orchestrate distributed training pipelines.

Requirements

Requires a PhD or research-focused MSc in a quantitative field and at least 5 years of industry experience in production software development. Candidates must have expertise in translating research papers into ML artifacts and experience with structural biology data science.

Skills

Machine Learning Engineering
Structural Biology
Computational Chemistry
MLOps
Distributed Training Pipelines
GPU Optimization
Research Translation
Product Lifecycle Management
Generative Chemistry Models
Structure Prediction
Cloud Platforms

Benefits

Medical coverage
Dental coverage
Vision coverage
Retirement savings with company matching
Paid parental leave
Family-building benefits
Flexible paid time off
Company-wide seasonal breaks
Equity participation
Performance-based incentives

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Large Quantitative Models
LQM
AI for Life Sciences
Drug Discovery
Materials Discovery
In Silico Design
Computational Chemistry
Structural Biology
MLOps
GPU Infrastructure
Biopharma
Generative Chemistry
Affinity Models
Structure Prediction
Distributed Training
Production Code
Cloud Computing
AI Simulation
BioSim

Report this job