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Added 2 months ago
V
Machine Learning Engineer Lead
Vancity
Vancouver, BC · Toronto, ON
- Full-time
Strong proficiency in Python and SQL, with solid software engineering fundamentals including data structures, algorithms, and object-oriented design
Added 2 months ago
PX
Data Scientist (AI/ML)
Project X
Toronto, ON
- Full-time
Proficiency in Python and SQL, with experience in data wrangling, statistical analysis, and model development
Added 2 months ago
A
Intern, AI Developer/ Stagiaire en développement IA
Autodesk
Montreal, QC
- Full-time
Experience with deep learning frameworks: PyTorch (preferable), Tensorflow Strong knowledge of C/C++ or Python
Added 2 months ago
C
Senior Backend Developer - ML Platform
Coveo
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Collaborate with applied scientists, data engineers, and developers to integrate agentic applications into production
Added 2 months ago
VA
Member of Technical Staff - ML Operations
Veeda AI
Remote, Canada
- Full-time
- Remote
…you're excited about pushing the boundaries of what's possible with Physical AI, you'll have the opportunity to make an outsized impact from day…
Added 2 months ago
XR
AI Platform & Machine Learning Engineer
XYZ Reality
Remote, Canada
- Full-time
- Remote
Strong Python development skills and hands-on experience with PyTorch.
Added 2 months ago
B
Software Engineer - Observability
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 2 months ago
VG
[VO2 Canada] -Ingénieur.e IA / LLM – Missions Ponctuelles
VO2 GROUP
Montreal, QC
- Full-time
We are present in Paris, Montreal, Luxembourg, Shanghai, New York, and Geneva, with over 800 consultants 🇫🇷🇨🇦🇨🇳🇺🇸🇨🇭.
Added 3 months ago
X
Data Scientist
Xsolla
Canada
- Full-time
Strong SQL and Python skills, with proven experience building ETL/ELT at scale.
Added 2 months ago
BP
Head of Machine Learning - Aquaeye
BLANKSLATE Partners
Remote, Canada
- Full-time
- Remote
Strong proficiency in Python, with experience using PyTorch and Scikit-learn
Added 2 months ago
F
Data Scientist (ML Engineer)
Flywheel
Toronto, ON
- Full-time
Our team primarily works with Python and the Google Cloud Platform suite of products like Cloud Run and Vertex AI to productize cutting-edge data features. We are currently working on…
Added 1 month ago
Staff Machine Learning Engineer, Generative AI (Auth0)
Okta
Toronto, ON
…that provide instant product support, and developing the best developer experience around authentication for generative AI and AI agents, our team is instrumental in bringing the…
Added 2 months ago
IS
Data Science ML/GenAI Engineer (FRE/ ENG)
Irth Solutions
Remote, Canada
- Full-time
- Remote
Expérience pratique en développement Python et en manipulation de données.
Added 2 months ago
Senior Director, Engineering - Corporates, Financial Institutions & Sovereigns
Fitch Group
Toronto, ON
…in analytical processes, agentic automation, or AI-augmented developer tooling, bring the depth to evaluate, architect, and champion these capabilities with real technical conviction. If…
Added 3 months ago
JG
Oracle AI Architect
J&M Group
Toronto, ON
- Full-time
…Studio.Development: Write robust| production-ready code in Python and SQL to support AI workflows and RESTful API integrations.Governance: Ensure all AI solutions adhere to enterprise…
Added 2 months ago
MS
Data Scientist (NLP Specialist) – Legal and Compliance (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
Collaborate with stakeholders across Compliance, Legal, Financial Crimes, and IT to promote adoption of new AI/ML/NLP capabilities.
Added 2 months ago
TR
Applied Research Intern (NLP/ML/GenAI)
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
…Reuters Labs in Toronto is seeking an ML/NLP scientist intern with a passion for problem-solving using state-of-the-art Machine Learning and Natural Language Processing…
Added 3 months ago
S
Backend Engineer – Data Ingestion & APIs, Kitchener, ON
Siemens
Kitchener, ON
- Full-time
Strong experience with backend development in Python, Go, Java, or similar languages.
Added 3 months ago
S
Senior AI/ML & Robotics Platform Engineer
Siemens
Kitchener, ON
- Full-time
…ever-changing challenges, customer needs, and questions from colleagues with clever concepts and creativity. We embrace change and work with curious minds re-inventing the future of work.…
Added 2 months ago
K
Senior Software Engineer, AI
Klue
Toronto, ON
- $140,000 to $230,000 CAD / year
- Full-time
Strong software engineering fundamentals. You write clean, maintainable, well-tested code. You're comfortable with Python and have experience with backend frameworks, APIs, and production…
Added 1 month ago
C
Senior Java Developer – Vice President
Citi
Mississauga, ON
- Full-time
…join our dynamic team. The ideal candidate will be a hands-on developer with leadership quality, proficient in modern Java technologies and SQL skills, and passionate about leveraging…
Added 2 months ago
BC
AI/ML Ops Engineer
Blackpoint Cyber
Remote, Canada
- $131,000 to $164,250 CAD / year
- Full-time
- Remote
…report to the Vice President of AI and Data and work closely with Engineering, the Security Operations Center (SOC), and the Adversary Pursuit Group…
Added 3 months ago
SS
Python Developer
Soho Square Solutions
Montreal, QC
- $50 to $60 CAD / hour
- Contract
Strong proficiency of Python with experience developing production-grade data processing pipelines and AI/ML services
Added 3 months ago
HC
Senior Researcher - AI Data Platforms
Huawei Canada
Markham, ON
- Full-time
Strong systems building and prototyping skills, with proficiency in C/C++ and Python, and experience with distributed storage APIs (S3, HDFS, POSIX), data processing frameworks, or vector…
Added 3 months ago
TA
Lead AI Engineer
Tiger Analytics
Canada
- Full-time
…distributed systems, cloud-native architectures, and MLOps with exceptional stakeholder management skills. This individual will oversee multiple engineering pods, mentor technical teams,…

Siemens

Senior AI/ML & Robotics Platform Engineer

Kitchener, ON, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Aug 6, 2026

Original job description

Change the future with us.

We are looking for dedicated and talented people who solve ever-changing challenges, customer needs, and questions from colleagues with clever concepts and creativity. We embrace change and work with curious minds re-inventing the future of work. Join us and let us focus together on what’s truly important: making lives better with new ideas and the latest technology around the world.

About the role:

Are you excited by the challenge of turning robotics data into usable foundations for advanced AI systems? Do you enjoy working at the boundary between machine learning, robotics, data engineering, evaluation, and industrial software?

We are seeking a Senior AI/ML & Robotics Platform Engineer to help define the data, metadata, validation, and evaluation backbone for a Physical AI platform in Canada. This role will be central to connecting robotics data engineering with future support for Level 3 skills, model evaluation, finetuning readiness, and advanced AI-assisted robotic applications.

You will work closely with platform architects, robotics integration engineers, backend developers, and research stakeholders to ensure that robotics data is structured, trustworthy, usable, and aligned with downstream AI and product needs.

What will you do?

Define robotics dataset structures, metadata schemas, quality rules, and validation logic for industrial data collection and AI enablement.
Help design how robot state, action data, task context, vision streams, annotations, and environmental metadata are captured and represented.
Drive approaches for dataset versioning, reproducibility, lineage, and training/evaluation readiness.
Support the design of VLA-related data collection and Level 3 skill enablement interfaces.
Develop validation pipelines and quality checks for robotics data completeness, alignment, synchronization, and usability.
Work with research-facing stakeholders to translate model and evaluation needs into practical platform requirements.
Support handoff patterns between data collection, governance, review workflows, and downstream AI/ML consumers.
Collaborate with robotics integration engineers on practical semantics for robot episodes, sensor timelines, and action representations.
Help establish evaluation-ready datasets, benchmarking inputs, and structured feedback loops between platform and AI development.
Contribute code, prototypes, tooling, and technical guidance across platform and data workflows.

What you will bring:

Master’s degree or equivalent experience in Computer Science, Robotics, Machine Learning, Data Engineering, Artificial Intelligence, or a related field.
Strong experience in Python and modern data engineering or ML tooling.
Experience working with structured and unstructured datasets, metadata, validation workflows, and quality management.
Good understanding of AI/ML workflows, robotics data, perception data, or model evaluation pipelines.
Ability to bridge technical detail across software, data, and AI teams.
Strong analytical and problem-solving skills.
Practical mindset and willingness to work in ambiguous, early-stage platform environments.

What sets you apart:

Experience with robotics, robot learning, teleoperation data, vision-language-action workflows, or embodied AI.
Experience with PyTorch ecosystem tooling, experiment tracking, MLOps, or evaluation pipelines.
Familiarity with ROS/ROS2, robot logs, trajectory data, or multimodal data synchronization.
Experience with industrial environments, edge collection systems, or sensor-rich datasets.

Why Join Us?

Impact: Build the founding team and platform capability for a strategic Physical AI initiative in Canada.
Innovation: Work at the intersection of robotics, AI, industrial software, workflow orchestration, and platform engineering.
Leadership: Shape the direction, culture, and operating model of a new strategic engineering organization.
Collaboration: Partner with leading global research, product, and engineering teams.
Growth: Help define how Physical AI platform capabilities scale from data foundations to runtime-enabled industrial applications.

Salary: Salary is commensurate with experience, and base salary ranges between $130,000 CAD - $160,000 CAD, excluding bonus and benefits. In addition to base salary, this role includes eligibility for an annual discretionary bonus of 10 % of base salary, based on Company performance metrics. 

Why you’ll love working for Siemens!

Freedom and a healthy work- life balance– Embrace our flexible work environment with flex hours, telecommuting and digital workspaces.
Solve the world’s most significant problems – Be part of exciting and innovative projects.
Engaging, challenging, and fast evolving, cutting edge technological environment.
Opportunities to advance your career and mentorship programs on a local and global scale.
Competitive total rewards package.
Profit sharing available.
Rewarding vacation entitlement with the opportunity to buy and sell your vacation depending on your lifestyle.
Contribute to our social responsibility initiatives focused on access to education, access to technology and sustaining communities and make a positive impact on the community.
Participate in our celebrations, social events and offsite business events.
Opportunities to contribute your innovative ideas and get paid for them!
Employee perks and discounts.
Diversity and inclusivity focused.

Siemens is proud to be an eight-time award winner of Canada’s Top 100 Employers, Canada’s Greenest Employers 2025 and Canada’s Top Employers for Young People 2025.

About Us.

We share our ideas and champion the people behind them.

Siemens Canada is a leading technology company focused on industry, infrastructure, mobility and healthcare. The company’s purpose is to create technology with purpose, transforming the everyday, for everyone, since 1912. By combining the real and the digital worlds, Siemens empowers its customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more liveable, and transportation more sustainable. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably.

In fiscal 2024, which ended September 30, 2024, Siemens Canada had revenues of approx. $2.2 billion CAD. The company has approximately 4,400 employees from coast-to-coast and 37 office and production facilities across Canada.

To learn more about Siemens Canada, visit our website at www.siemens.ca

While we appreciate all applications we receive, we advise that only candidates under consideration will be contacted.

Canada

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More about this job

Responsibilities

Define and design the data, metadata, and validation backbone for a Physical AI platform to support advanced robotics skills. Collaborate with cross-functional teams to ensure robotics data is structured, trustworthy, and aligned with AI model evaluation and training needs.

Requirements

Requires a Master's degree or equivalent in Computer Science, Robotics, or a related field with strong proficiency in Python and data engineering. Candidates should have experience with AI/ML workflows, robotics data, and the ability to work in ambiguous, early-stage platform environments.

Skills

Python
Data Engineering
Machine Learning
Robotics
PyTorch
ROS/ROS2
MLOps
Metadata Schema Design
Dataset Versioning
Model Evaluation
VLA Workflows
Embodied AI
Multimodal Data Synchronization
Validation Pipelines
Industrial Software
Backend Development

Benefits

Annual Discretionary Bonus
Flexible Work Environment
Flex Hours
Telecommuting
Digital Workspaces
Mentorship Programs
Profit Sharing
Vacation Entitlement
Employee Perks and Discounts

Visa sponsorship

Not detected in the job text

Keywords

Physical AI
Robotics
Machine Learning
Data Engineering
Python
PyTorch
ROS
ROS2
MLOps
VLA
Embodied AI
Metadata
Dataset Versioning
Model Evaluation
Industrial Automation
Sensor Fusion
Trajectory Data
Teleoperation
Backend Development
Data Governance
Validation Pipelines
Multimodal Data
Edge Collection
Siemens
Automation Machinery Manufacturing

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