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Added 3 months ago
PI
Implementation Specialist – Network Engineer
PureLogic IT Solutions
Ottawa, ON
- Full-time
Title: Implementation Specialist – Network Engineer
Added 3 months ago
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Senior ML Research Engineer, Virtual Cell
SandboxAQ
Remote, Canada
- $125,800 to $222,000 CAD / year
- Full-time
- Remote
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…
Added 3 months ago
X
Site Reliability Engineer (Monetization)
Xsolla
Montreal, QC
- Full-time
We are looking for a Site Reliability Engineer (Monetization) who is pragmatic, product-minded, and equally comfortable writing code and running production systems to join our…
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
HB
Production Support - Elite Quant Fund- Up to $180,000 CAD + Bonus
Hunter Bond
Montreal, QC
- Full-time
My client is hiring a Production Support Engineer to support mission-critical front office trading systems in a fast-paced, high-performance environment where uptime, speed, and reliability…
Added 1 month ago
W
Staff Systems Engineer - Safety Methodologies
Waabi
Toronto, ON
- $200,000 to $256,000 USD / year
- Full-time
…are seeking a passionate and experienced safety or systems engineer to spearhead the development and implementation of critical safety framework methods that underpin our driverless…
Added 1 month ago
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Senior Software Engineer
Mastercard
Vancouver, BC
- Full-time
The Business Rules Engineering & Strategy team is looking for a Senior Software Engineer to drive forth our mission of building robust IBM ODM Rule solutions that provide transaction-level…
Added 1 month ago
SS
Senior V&V Test Engineer - Autonomous Vehicles
Sopra Steria
Montreal, QC
- Full-time
We are looking for a Senior V&V Test Engineer to support the validation of autonomous vehicle systems and vehicle-level interfaces.
Added 1 month ago
W
Senior / Staff Software Engineer, AI Tech Strike Team
Waabi
Toronto, ON
- $165,000 to $265,000 USD / year
- Full-time
…agents, and workflows that accelerate how we work. As a Software Engineer on the AI Tech Strike Team, you will design, build, and ship the tools that compound the productivity of every team…
Added 1 month ago
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Forward Deployed Engineering Intern / Co-op Winter 2027
Trexo Robotics
Remote, Canada
- Full-time
- Remote
We're looking for a Forward Deployed Engineer intern to embed with our internal teams - sales, ops, customer success, RA/QA, finance - figure out where work actually breaks, and build the…
Added 1 month ago
ML Systems Software Development Engineer Intern, Annapurna Labs - 2027
Amazon
Toronto, ON
…customers run workloads on our hardware). As a Software Development Engineer Intern, you'll write the software that turns custom silicon into products used by…
Added 5 months ago
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Data Engineer
Tactable
Toronto, Ontario
- Full-time
…intersection of infrastructure, pipelines, and product. As a Data Engineer, you’ll be part of a deeply technical team solving real-world data challenges for enterprise clients building…
Added 5 months ago
A
Dynatrace Observability Consultant - Bilingual (FR)
Arctiq
Montreal, Quebec
- Full-time
Skilled at coding and scripting languages, including but not limited to Python, Ruby, Perl, Bash, and Typescript
Added 5 months ago
AT
Aircraft Structural Dynamics Engineer
Accord Technologies Inc
Montreal, Quebec
- Full-time
You have experience programming in Matlab, Python, Fortran, or C/C++
Added 5 months ago
AT
Aircraft Loads Engineer
Accord Technologies Inc
Montreal, Quebec
- Full-time
You have strong programming skills: C++, Fortran, MATLAB, and Python
Added 5 months ago
C
Staff Software Engineer
Clutch
Toronto, Ontario
- $205,000 CAD / year
- Full-time
Clutch is seeking a Staff Software Engineer / Engineering Lead to drive technical excellence, deliver complex solutions, and shape the future of our platform. This role requires leadership…
Added 5 months ago
B
Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 CAD / year
- Full-time
As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric,…
Added 3 months ago
H
Engineering Lead
HSBC
Toronto, ON
- Full-time
Hands-on engineer who can code and deploy to production, working across at least two languages and willing to learn new stacks (e.g., Java, JavaScript, Clojure, Python). You might not be…
Added 2 months ago
Q
DSP Application Engineer, Principal
Qualcomm
Ottawa, ON
- Full-time
…connected future for all. As a Qualcomm Hardware Application Engineer, you will provide technical expertise of hardware through trainings, product demonstrations, and the design, debug,…
Added 3 months ago
MS
Senior Full Stack Engineer
Motorola Solutions
Vancouver, BC
- Full-time
Bachelor's Degree in Computer Science, Computer Engineer, or a related discipline
Added 3 months ago
MT
Senior Engineer - Software
Microchip Technology Inc.
Toronto, ON
- Full-time
As a Software Engineer on our team, you will play a pivotal role in shaping the future of FPGA design tools. Your primary focus will be on compiler development (LLVM/MLIR-based), with…
Added 2 months ago
Senior Security Engineer, AI & DevSecOps
Atlas HXM
Canada
We are seeking a forward-thinking Senior Security Engineer, AI & DevSecOps to help shape the future of secure AI adoption across the organization.
Added 3 months ago
T
Senior Cloud Network Engineer
Telesat
Ottawa, ON
- Full-time
The Cloud Network Engineer will assist with the planning, building and operation of Cloud-based infrastructure. They will bridge gaps between on-premises networks and Cloud-based networks,…
Added 3 months ago
TG
Database Engineer
TMX Group
Toronto, ON
- Full-time
We are seeking a Database Engineer to manage, support, and modernize our server-computing database infrastructure. In this role, you will champion a "Database as Code" philosophy,…
Added 1 month ago
RE
Build Engineer (Apex Legends)
Respawn Entertainment
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
We’re looking for a highly skilled Build & Release Engineer who will embrace our culture, is ready to learn new things, and share their hard earned expertise to make and deliver builds to…

SandboxAQ

Senior ML Research Engineer, Virtual Cell

Remote, Canada

Remote

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

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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

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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

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