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Added 23 days ago
Electrical Engineer/Technologist
L3Harris Technologies
Enfield, NS
Job Title: Senior Associate, Electrical Engineer
Added 23 days ago
TT
Senior Application Security Engineer
Temporal Technologies
Canada
- Full-time
Join our dynamic team as a Senior Application Security Engineer, where you'll play a pivotal role in securing the Temporal development pipeline, product, and customer execution environment.…
Added 23 days ago
M
AI Infrastructure Engineer
Mission.dev
Canada
- Full-time
As a founding Senior AI Infrastructure Engineer, you will report to the Chief Technology Officer to design and operate large-scale infrastructure for AI workloads on public cloud and…
Added 23 days ago
M(
Principal Full-Stack Developer - Platform & Infrastructure
MaintainX (An Autodesk Company)
Remote, Canada
- $131,000 to $230,000 CAD / year
- Full-time
- Remote
Developer Productivity: Internal tooling and IDE plugins that make every engineer faster.
Added 23 days ago
M
Senior AI Engineer, Big Data & AI Solutions
Mastercard
Vancouver, BC
- Full-time
As a Senior AI Engineer, you will work at the intersection of AI engineering and big data engineering, helping improve the models, data assets, and operational processes that power fraud…
Added 23 days ago
KY
Senior Computer Vision Engineer
Koh Young Technology, Inc.
Vancouver, BC
- Full-time
As a computer vision engineer, you will be using cutting-edge vision and AI algorithms to integrate into robotics systems designed by worldwide teams of software, mechatronics, electronics,…
Added 23 days ago
M
Principal Full-Stack Developer - Platform & Infrastructure
MaintainX
Montreal, QC
- $131,000 to $230,000 CAD / year
- Full-time
Developer Productivity: Internal tooling and IDE plugins that make every engineer faster.
Added 23 days ago
K
Senior Software Engineer (Python & Frontend)
Keasis
Montreal, QC
- Contract
Added 23 days ago
M
Principal Full-Stack Developer - Platform & Infrastructure
MaintainX
Toronto, ON
- $131,000 to $230,000 CAD / year
- Full-time
Developer Productivity: Internal tooling and IDE plugins that make every engineer faster.
Added 23 days ago
XC
Senior Developer Engineer/Leader - Montreal
Xcelerated Consulting Group, LLC.
Montreal, QC
- Contract
As a Senior Developer, you will serve as a technical leader and subject matter expert in the Regulatory Reporting framework. This in-house application ensures the firm meets its global…
Added 23 days ago
GO
Product Development Engineering Co-op Student
G2V Optics
Edmonton, AB
- Contract
Programming & scripting to solve a variety of problems (Python, C).
Added 23 days ago
AI and Data - Senior Consultant - AI Engineer
EY
AB · Calgary, AB
As AI Engineer, you will design and build production-grade AI and agentic AI solutions that solve real business problems for EY's clients. You are the core builder on the delivery team,…
Added 23 days ago
AI and Data - Manager - AI Engineer
EY
AB · Calgary, AB
As AI Engineer, you will design and build production-grade AI and agentic AI solutions that solve real business problems for EY's clients. You are the core builder on the delivery team,…
Added 23 days ago
P
Senior Security Engineer - Cloud Security
PagerDuty
Toronto, ON
- Full-time
Senior Security Engineer - Cloud Security (Platform Engineering, Kubernetes & Identity)
Added 23 days ago
KG
Kafka Platform Engineer/Admin
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
We are seeking a Senior Kafka Platform Engineer to administer, maintain, and optimize enterprise Apache Kafka platforms across Development, Test, UAT, and Production environments. The role…
Added 23 days ago
KG
Senior Python Developer (PySpark & AWS Platform Engineering)
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Contract
Position: Senior Python Developer (PySpark & AWS Platform Engineering)
Added 23 days ago
P
Senior Software Engineer
PointClickCare
Mississauga, ON
- $142,000 to $158,000 CAD / year
- Full-time
Knowledge of scripting languages such as Python, Bash or Groovy
Added 23 days ago
S
Senior AI Machine Learning Engineer
SAP
Montreal, QC
- Full-time
We are hiring a Senior Machine Learning Engineer Scientist to lead the development of scalable graph-based and transformer-based modeling systems, along with production-grade ML pipelines.…
Added 23 days ago
MC
Cloud Platform Engineer – Kubernetes (36051)
Myticas Consulting
Toronto, ON
- Contract
A senior-level, hands-on Kubernetes / Cloud Platform Engineer who can independently resolve challenging Kubernetes infrastructure and workload issues.
Added 23 days ago
H
Application Developer
Hays
ON · Ontario, Canada
- $70 to $75 CAD / hour
- Contract
Seeking a Senior Software Engineer with experience in software development, cloud engineering, DevOps, and data platforms. The role involves building enterprise applications and APIs,…
Added 23 days ago
MC
Senior ASIC Verification Engineer (35885)
Myticas Consulting
Ottawa, ON · Kanata, ON
- Full-time
Advanced proficiency in SystemVerilog and scripting languages such as Python.
Added 23 days ago
MC
Senior Embedded Software Firmware Engineer (35835)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Senior Embedded Software/Firmware Engineer to develop and test next-generation firmware for advanced embedded optical systems. This is a one-year contract based in Ottawa,…
Added 23 days ago
R
Senior Software Engineer – Cloud & Data Platforms
Raise
Toronto, ON
- Contract
…Innovation & Architecture (EIA). The team consists of junior and senior developers, a Scrum Master, and technical leadership working closely with AI and Operations teams. The group owns,…
Added 23 days ago
M
Principal AI Software Engineer
Mphasis
Toronto, ON
- Full-time
We are seeking a hands-on AI Engineer / Generative AI Developer to design, develop, test, and deploy enterprise AI applications on Google Cloud Platform (GCP). The ideal candidate will have…
Added 23 days ago
MC
Network Engineer (35135)
Myticas Consulting
Ottawa, ON
- Full-time
We are looking for an experienced Network Service Engineer with strong expertise in customer network service configuration to support the design, implementation, and optimization of network…

SAP

Senior AI Machine Learning Engineer

Montreal, QC, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 14, 2026
Posting language: English
Posted: Oct 15, 2026

Original job description

We help the world run better

At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

About The Role

We are hiring a Senior Machine Learning Engineer Scientist to lead the development of scalable graph-based and transformer-based modeling systems, along with production-grade ML pipelines. This role sits at the intersection of research and systems engineering and will help shape the next generation of relational foundation model for structured data.

You will own key architecture decisions, mentor engineers and researchers, and build high-performance ML systems that operate reliably at scale.

What You’ll Do

Technical Leadership

Architect and drive the scalable development of foundation model for relational and graph data.
Design high-performance data pipelines for large-scale graph, relational, and tabular datasets.
Establish best practices for experimentation, reproducibility, evaluation, and deployment.
Define and execute the technical roadmap for ML infrastructure and modeling frameworks.

Geometric ML Knowledge

Develop and optimize:
Graph Neural Networks (GNNs), Graph Transformers, and Relational Transformers
Self-supervised, contrastive, and related pretraining strategies for structured data
Translate research innovations into robust, production-ready systems.

Scalable Systems & Infrastructure

Build and operate distributed training and inference pipelines with solid software design & architecture strategy.
Optimize compute efficiency (GPU/CPU utilization), memory footprint, training throughput, and inference latency.
Apply or evaluate techniques such as pruning, quantization, architecture search, and model compilation as needed.
Partner with platform teams to ensure smooth deployment, monitoring, and reliability in production.

Collaboration & Mentorship

Mentor ML engineers and applied scientists; raise the team’s technical bar through guidance and review.
Collaborate closely with research, data, and product stakeholders to drive delivery and impact.

Required Qualifications

PhD or MS in Computer Science, Machine Learning, Applied Mathematics, Physics, or a related field, with substantial applied experience.
5+ years building and delivering ML systems end-to-end.
Strong hands-on experience with:
PyTorch
PyTorch Geometric and/or Deep Graph Library (DGL)
Experience of designing and developing distributed systems and scalable ML infrastructure.
Advanced Python proficiency and strong software engineering fundamentals.
Demonstrated ownership of complex ML projects from design through production.
Experience scaling ML systems in cloud environments (e.g., Azure, AWS).

Preferred Qualifications

Experience building foundation models for structured, relational, or graph data.
Familiarity with transformer architectures tailored to graph and tabular domains.
Experience with distributed training frameworks (e.g., FSDP, DeepSpeed, Ray).
Deep expertise in:
Graph representation learning
Structured / relational modeling
Large-scale training systems
Publications in top-tier ML venues (e.g., NeurIPS, ICML, ICLR, KDD).

What We’re Looking For

A systems-minded scientist who bridges research depth with engineering rigor.
A strong architectural thinker who can design scalable solutions with long-term maintainability.
A leader who mentors others and elevates engineering and research standards.
Passion for advancing structured-data AI and building platforms that deliver real-world impact.

Meet Your Team

SAP is uniquely positioned to lead the next wave of AI by infusing intelligence directly into the business processes that run the world. Our team’s mission is to develop Foundation Models for structured data, starting with the launch and continued evolution of SAP-RPT-1. As the first generation of our relational model portfolio, SAP-RPT-1 represents our commitment to pioneering new research in a domain where SAP’s expertise in enterprise data structures provides an unmatched competitive edge. We are looking for innovators to join us in this journey to develop next-generation models with even higher impact, bridging the gap between cutting-edge AI research and the complex, structured reality of global enterprise data.

Bring out your best

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

SAP believes the value of pay transparency contributes towards an honest and supportive culture and is a significant step toward demonstrating SAP’s commitment to pay equity. SAP provides the annualized compensation range inclusive of base salary and variable incentive target for the career level applicable to the posted role. The targeted combined range for this position is 108,100 - 222,800(CAD) CAD. The actual amount to be offered to the successful candidate will be within that range, dependent upon the key aspects of each case which may include education, skills, experience, scope of the role, location, etc. as determined through the selection process. Any SAP variable incentive includes a targeted dollar amount, and any actual payout amount is dependent on company and personal performance. A summary of benefits and eligibility requirements can be found by clicking this link: www.SAPNorthAmericaBenefits.com.

Due to the nature of the role, which involves global interactions with SAP entities, as well as with employees and stakeholders in Canada, functional proficiency in English is required for positions based in the Quebec.

AI Usage in the Recruitment Process

For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 448373 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:

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More about this job

Responsibilities

Lead the architecture and development of scalable foundation models and production-grade ML pipelines for graph, relational, and tabular data. Optimize distributed training and inference systems, establish engineering and experimentation practices, and mentor colleagues while collaborating with research, data, and product teams.

Requirements

Requires a PhD or MS in computer science, machine learning, applied mathematics, physics, or a related field, substantial applied experience, and at least five years building and delivering end-to-end ML systems. Candidates should have strong PyTorch and graph-learning framework experience, advanced Python and software engineering skills, distributed systems and cloud ML experience, and a record of owning complex projects through production.

Skills

Machine Learning
Graph Neural Networks
Graph Transformers
Relational Transformers
PyTorch
PyTorch Geometric
Deep Graph Library
Distributed Systems
Scalable ML Infrastructure
Python
Foundation Models
Structured Data Modeling
Distributed Training
Cloud Computing
Model Optimization
Technical Leadership

Benefits

Health And Well-Being Support
Flexible Working Models
Learning And Development
Employee Benefits

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Foundation Models
Structured Data
Relational Data
Graph Data
Tabular Data
Graph Neural Networks
Graph Transformers
Relational Transformers
Self-Supervised Learning
Contrastive Learning
PyTorch
PyTorch Geometric
Deep Graph Library
Python
Distributed Systems
Distributed Training
FSDP
DeepSpeed
Ray
Azure
AWS
GPU Optimization
Model Pruning
Quantization
Architecture Search
Model Compilation
ML Infrastructure
Graph Representation Learning
NeurIPS

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