Find work in Canada.

530,199 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 1 month ago
GS
Développeur Systèmes Embarqués Cybersécurité
Groupe SII
Quebec, QC
- Full-time
Tu connais les langages de script tels que Python, Bash ou PowerShell.
Added 3 months ago
MS
Cybersecurity Platform Specialist (Kubernetes workload protection) (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
We're seeking someone to join our Workload Protection team as Cybersecurity platform specialist (Kubernetes workload protection) to design, implement, and support enterprise workload…
Added 2 months ago
C
Senior Software Developer (12 months)
CIRA
Ottawa, ON
- Temporary
You're a passionate software developer who wants your work to make a difference. You have a strong background in cybersecurity and an interest in DNS and networking technologies. You’re…
Added 1 month ago
LT
Security Analyst
LMI Technologies
Burnaby, BC
- Full-time
Security Awareness & Culture: Facilitate internal cybersecurity training initiatives, phishing simulation campaigns, and employee security education program updates.
Added 1 month ago
EM
Security Software Developer
Evertz Microsystems Limited
Markham, ON
- Full-time
We’re looking for a Security Software Developer to join the networking device development team behind Evertz IP switch fabric products, including the EXE and NATX, and Evertz SDI router…
Added 1 month ago
P
Toronto Technology Audit & Advisory (Financial Services) Senior Consultant
Protiviti
Toronto, ON
- Full-time
Added 1 month ago
P
Toronto Technology Audit & Advisory (Financial Services) Manager
Protiviti
Toronto, ON
- Full-time
Added 3 months ago
M
Software Engineer – Ground Systems / Operations
MDA
Saint-Bruno-de-Montarville, QC
- Full-time
Experience with Python including Django framework
Added 1 month ago
F
Software QA Specialist
Fortinet
Burnaby, BC
- Full-time
Join Fortinet, a cybersecurity pioneer with over two decades of excellence, as we continue to shape the future of cybersecurity and redefine the intersection of networking and security. At…
Added 3 months ago
T
Applied AI Research Scientist - Generative and Agentic AI / Scientifique en IA Appliquée- IA Générative et Agentique
Thales
Quebec, QC
- Full-time
…Collaborative Autonomous Systems, Optimization, Knowledge Management, Cybersecurity and…
Added 3 months ago
T
Applied AI Research Scientist – Data Scientist / Scientifique en IA Appliquée – Scientifique de Données
Thales
Quebec, QC
- Full-time
…Collaborative Autonomous Systems, Optimization, Knowledge Management, Cybersecurity and…
Added 4 months ago
DS
Agentic AI Engineer
D3 Security Management Systems
Vancouver, BC
- Full-time
#HP #AIProductSoftwareEngineer #AIEngineer #AIDeveloper #AgenticEngineer #Python #React #TypeScript #Cybersecurity #SecOps #VancouverJobs #VancouverTech #BCTech #TechJobs #BuildWithAI…
Added 1 month ago
NF
Network Security Engineer
Nature Fresh Farms
Leamington, ON
- $70,000 to $100,000 CAD / year
- Full-time
Educational background in Computer Science, Cybersecurity, Engineering, Information Systems, or a related field preferred.
Added 1 month ago
S
Fraud Product and Operations Lead
Scene+
Toronto, ON
- Full-time
Collaboration. You will work closely with other departments such as Cybersecurity, Legal and Member services as well as partner fraud departments to resolve fraud issues in a timely and…
Added 5 months ago
TC
UNPAID Internship: AWS Cloud Engineering Intern Summer/Spring 2026
The Commons XR
Remote, Canada
- Remote
…who are pursuing Cloud, Computer Science with Security and/or CyberSecurity professional experiences. You must have a foundation in our platforms to be able to learn, train and apply your…
Added 5 months ago
SS
IT Systems Engineer (Contractor)
Sopra Steria
Ottawa, Ontario
- Full-time
…of Sopra Steria specializing in infrastructure, cloud, and cybersecurity solutions. With 3,000 experts, I2S plays a key role in delivering the group’s end‑to‑end services. Our model is…
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 3 months ago
S
Senior ML Research Engineer, Virtual Cell
SandboxAQ
Remote, Canada
- $125,800 to $222,000 CAD / year
- Full-time
- Remote
…advances in life sciences, financial services, navigation, cybersecurity, and other…
Added 1 month ago
LT
Security Analyst
LMI Technologies
Burnaby, BC
- $64,000 to $80,000 CAD / year
- Full-time
Security Awareness & Culture: Facilitate internal cybersecurity training initiatives, phishing simulation campaigns, and employee security education program updates.
Added 5 months ago
PC
SOAR Service Lead
PwC Canada
Vancouver, British Columbia
- Full-time
At PwC, our people in cybersecurity focus on protecting organisations from cyber threats through advanced technologies and strategies. They work to identify vulnerabilities, develop secure…
Added 5 months ago
KC
Manager, Cyber Defence
KPMG Canada
Toronto, Ontario
- Full-time
A career within our Cyber Security practice will provide you with the opportunity to help our clients implement robust cybersecurity programs that protects against threats, propels digital…
Added 2 months ago
Senior Security Engineer, AI & DevSecOps
Atlas HXM
Canada
…automation, and can translate security requirements into scalable, developer-friendly…
Added 3 months ago
T
Senior Cloud Network Engineer
Telesat
Ottawa, ON
- Full-time
Collaborate with solutions architects, application developers, cloud administrators, cybersecurity and DevOps engineers to deliver Azure solutions.
Added 1 month ago
S
Fraud Product and Operations Lead
Scene+
Toronto, ON
- Full-time
Collaboration. You will work closely with other departments such as Cybersecurity, Legal and Member services as well as partner fraud departments to resolve fraud issues in a timely and…
Added 3 months ago
GP
AI/ML Engineer Intern (2027)
Georgian Partners Growth
Remote, Canada
- Internship
- Remote
Georgian is a Toronto-based venture capital firm that partners with high-growth technology companies across cybersecurity, AI software, robotics, defense. We manage about $6B in assets 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