Jobs in Canada

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Added 1 month ago
FI
Staff Supply Chain Simulation Engineer
Fulfillment IQ
Remote, Canada
- Full-time
- Remote
…multiple operational scenarios. Reporting directly to the Chief Scientist, you will create simulation models that capture warehouse operations dynamics, design and build the engine that…
Added 3 months ago
P
Senior Machine Learning Engineer - Reconstruction
Peripheral
Toronto, ON
- Full-time
Must have the legal right to work in Canada and be willing to relocate to Toronto
Added 2 months ago
IDD Data & Analytics Specialist
Aecon
Toronto, ON
Reporting to IDD Data & Analytics Lead, the IDD Analytics Specialist will be responsible for collecting, analyzing, transforming, and presenting data from various business systems to…
Added 3 months ago
P
Data Scientist - Hybrid
Pelmorex
Oakville, ON
- Full-time
We are seeking a versatile and highly skilled Data Scientist to join our dynamic team. This role is pivotal in driving data-driven decision-making across our B2B initiatives, with…
Added 3 months ago
ES
Machine Learning Engineer - EA Sports FC
EA SPORTS
Vancouver, BC
- Full-time
Reporting to the Senior Data Science Manager, we are seeking a full-stack Machine Learning Engineer to operationalize, deploy, and scale high-impact machine learning solutions and…
Added 3 months ago
JG
Senior Data Scientist
J&M Group
Toronto, ON
- Full-time
We are looking for an experienced Senior Data Scientist to deliver enterprise AI and machine learning solutions from exploration to production. The ideal candidate has strong expertise in…
Added 2 months ago
R
Senior Machine Learning Engineer
Remitly
Burnaby, BC
- Full-time
Lead the end-to-end ML lifecycle from raw data to EDA to model training to offline/online evaluation and model deployment.
Added 3 months ago
Scientist I, Chemistry Installation
Telix Pharmaceuticals (AMER)
Burnaby, BC
BS or MS in Chemistry, Radiochemistry, Nuclear Engineering, Physics, or a related scientific discipline and 1 year of experience required
Added 3 months ago
GD
Data Scientist I
Groupe Dynamite, Inc Garage
Mont-Royal, QC · Ville Mont-Royal, Quebec
- Full-time
Must have strong analytical, problem solving skills, attention to detail, critical thinking ability, and creativity
Added 3 months ago
SC
Environmental Scientist/Engineer
SLR Consulting
Nanaimo, BC · Victoria, BC
- Full-time
Must possess a valid driver’s license and regular access to a reliable vehicle for travel to job sites/clients
Added 4 months ago
K
Senior Engineer (Mechanical/Piping Design)
Kinectrics
Toronto, ON
- Full-time
Must have a strong attention to detail and to quality assurance requirements
Added 3 months ago
EA
Machine Learning Engineer
exacare ai
Canada
- Full-time
…including hyperparameter searches, architecture changes, and data variations, using tools like MLflow or Weights &…
Added 2 months ago
V
Wheat Breeding Scientist
Vylor
Saskatoon, SK · NA-CA-Saskatoon-Research
- Full-time
PhD in plant breeding or plant genetics, with an emphasis in the areas of genetics and data analytics is preferred
Added 3 months ago
4E
Senior Data Scientist
407 ETR
Woodbridge, ON
- Full-time
…on pricing, marketing and customer travel behavior. The Sr. Data Scientist will assist the Director of Data Analytics and other key stakeholders to bring actionable data driven solutions to…
Added 3 months ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
Architect scalable machine learning and Gen AI systems that integrate with existing data platform and infrastructure, focusing on automation, operation efficiency, and reliability
Added 3 months ago
PS
Data Scientist, Data Science and Artificial Intelligence (Temporary – 18 months)
Public Sector Pension Investment Board
Montreal, QC
- Full-time
As a Data Scientist, Data Science and Artificial Intelligence, you will play a hands-on role in harnessing data science to facilitate the generation of alpha for PSP. To this end, you will:
Added 2 months ago
Senior Machine Learning Engineer, Growth
HelloFresh
Toronto, ON
This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week
Added 3 months ago
DT
Senior Solutions Principal
Dell Technologies
Toronto, ON
- Full-time
5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure.
Added 2 months ago
Intermediate Environmental Professional - Scientist or Engineer
GHD Group Pty Ltd
Mount Pearl, NL
We’re excited to welcome a new Intermediate Environmental Professional (Scientist or Engineer) to our Mount Pearl, Newfoundland and Labrador office.
Added 3 months ago
AL
Senior Machine Learning Scientist (CA)
Altis Labs
Toronto, ON
- $175,000 to $300,000 CAD / year
- Full-time
…patient-level outcome predictions directly from routine medical imaging data. Our global biopharma customers use IPRO to predict efficacy, navigate billion-dollar development decisions with…
Added 3 months ago
TR
Senior Machine Learning Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
A profound comprehension of data processing, machine learning infrastructure, and DevOps/MLOps practices.
Added 2 months ago
Principal Applied AI/ML Scientist (Auth0 Lab)
Okta
Toronto, ON
…agents, by helping them with identity and security. We believe data, and developing our own models will play a huge role in…
Added 3 months ago
K
Senior Engineer/Scientist (Electrical Design)
Kinectrics
Toronto, ON
- Full-time
Position: Senior Engineer/Scientist (Electrical Design)
Added 3 months ago
IC
AI / Machine Learning Engineer
Infoya Career Connect
Toronto, ON · Waterloo, ON
- $85,000 to $105,000 CAD / year
- Full-time
…solve real-world business challenges. You will collaborate with data scientists, software engineers, and product teams to build scalable AI solutions using modern cloud and MLOps…
Added 3 months ago
TK
Senior Data Architect
The Kraft Heinz Company
Toronto, ON
- Full-time
This position implements and maintains domain specific data architecture at Kraft Heinz, ensuring assigned data assets are properly organized, structured, and secured. Collaborate with…

Peripheral

Senior Machine Learning Engineer - Reconstruction

Toronto, ON, Canada

Full-time

Apply on app.dover.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Aug 10, 2026

Original job description

WHO WE ARE:

Peripheral is developing spatial intelligence, starting in live sports and entertainment. Our models generate spatial data, used for advanced sports analytics and immersive media experiences. We’re solving key research challenges in 3D computer vision, creating the foundations for the next generation of robotic perception and embodied intelligence.

We’re backed by top investors, including Khosla Ventures, Inovia, Deloitte Ventures, Daybreak, and Entrepreneurs First, and working with some of the biggest names in sports. Our team includes engineers and researchers from leading technology companies and research institutions, and we’re building technology at the intersection of AI, graphics, and the future of live entertainment. We’re ambitious and looking to win.

THE OPPORTUNITY:

We’re seeking a Senior Reconstruction Researcher to lead Peripheral’s work on spatially intelligent foundation models.

We believe spatial intelligence is one of the next major frontiers in AI, with the potential to transform live sports and media today and accelerate progress in robotics.

At Peripheral, you’ll have the ingredients to push this problem forward: large-scale 3D/4D data, the ability to capture more from live deployments, compute, funding to train next-generation foundation models, and a strong research, engineering, and infrastructure team built for rapid experimentation and execution.

You’ll work directly with our CTO to set the research agenda and stay deeply hands-on across model architecture, training, datasets, and experimentation. You’ll have the freedom to pursue ambitious ideas and the responsibility to turn the best ones into real-world systems by leading a team of talented researchers and infrastructure engineers. You’ll also help define how research is conducted at Peripheral, grow the research team, and advance our mission to build spatial intelligence.

WHO YOU ARE:

You’ve led research teams working on 3D reconstruction, neural rendering, or spatial intelligence, and you know how to turn promising research into systems that ship. You’re equally comfortable setting a multi-quarter research agenda and getting into the technical tradeoffs required to bring models into production.

You think deeply about spatial intelligence, from classical multi-view geometry and neural approaches such as NeRFs and Gaussian Splatting to feed-forward 3D reconstruction and world models, and you have strong views on where the field is headed next.

You’re a multiplier for the people around you. You know how to give researchers room to explore while providing engineers with clear direction, and you can connect research and production so both move faster.

You’re excited to shape Peripheral’s research culture from the ground up, setting the technical bar, rigor, and ways of working the team will build on as it grows. Most importantly, you’re motivated by the frontier we’re working toward and aligned with our mission to build models that understand the spatial world around them.

WHAT YOU'LL BE DOING:

Set and drive Peripheral’s research agenda in spatial intelligence, including the development of models for real-time, feed-forward photorealistic 3D and 4D reconstruction.
Lead and grow the research team, setting technical direction in collaboration with the CTO from early exploration through production.
Stay deeply hands-on with model architecture, novel training strategies, experiment design, model evaluation, dataset strategy, and production deployment.
Evaluate emerging research from academia and industry to determine which are worth pursuing.
Advance Peripheral’s research by contributing to publications, patents, and technical talks where appropriate.

REQUIREMENTS

Master’s or PhD in Computer Science, Robotics, Computer Vision, Machine Learning, or a related field.
Proven track record leading research in 3D reconstruction, neural rendering, or spatial intelligence from prototype to a live, production-grade product.
Publications at top-tier venues such as CVPR, ICCV, ECCV, NeurIPS, or 3DV, and/or a strong record of patents or open-source contributions.
Deep expertise in multi-view geometry, structure-from-motion, NeRFs, 3D/4D Gaussian Splatting, and modern feed-forward 3D reconstruction.
Strong hands-on experience designing model architectures, training strategies, rigorous experiments, and evaluation protocols.
Experience with managing data storage, annotation, versioning, and growth of data pipelines, including processing multi-view video, LiDAR data and calibration.
Experience with distributed PyTorch training using DDP, FSDP, or similar approaches across multi-node GPU clusters.
Experience training ML models in cloud or HPC environments across multi-node GPU clusters.
Experience leading researchers and engineers, setting clear technical direction, and driving execution against research priorities.
Must have the legal right to work in Canada and be willing to relocate to Toronto. We are unable to provide immigration sponsorship.

NICE TO HAVE:

Background in robotics, autonomous systems, world models, diffusion models, or related areas of spatial intelligence.
Strong understanding of the NVIDIA ecosystem, including CUDA and GPU architecture for performance optimization, NVDEC/NVENC for video processing, and Isaac Sim/Omniverse for synthetic data generation.
Experience training foundation models, with a strong understanding of scaling laws, compute economics, and how to prioritize high-value research bets.

WHY YOU’LL LOVE WORKING HERE

Competitive equity package as an early team member.
Annual salary of $250K–$300K CAD plus performance bonuses, commensurate with experience.
Unparalleled access to premier global sporting events and iconic venues.
Full ownership of high-impact projects shaping the future of spatial intelligence and 3D media.
Flexible Paid Time Off (PTO).
Comprehensive health, dental, vision, and wellness benefits.

Apply on app.dover.com About employer

More about this job

Responsibilities

You will lead the research team in developing spatial intelligence foundation models and real-time 3D/4D reconstruction systems. You will collaborate with the CTO to set the research agenda while remaining hands-on with model architecture, training, and production deployment.

Requirements

Candidates must hold a Master's or PhD in a relevant technical field and possess a proven track record of leading research teams in 3D reconstruction or spatial intelligence. Strong expertise in neural rendering, multi-view geometry, and distributed training in cloud environments is required.

Skills

3D Reconstruction
Neural Rendering
Spatial Intelligence
Computer Vision
Machine Learning
PyTorch
Multi-view Geometry
Structure-from-motion
NeRFs
Gaussian Splatting
Distributed Training
Model Architecture
Experiment Design
Leadership
Data Pipelines
Robotics

Benefits

Competitive equity package
Performance bonuses
Access to global sporting events
Flexible Paid Time Off
Health benefits
Dental benefits
Vision benefits
Wellness benefits

Visa sponsorship

Not detected in the job text

Keywords

3D Reconstruction
Neural Rendering
Spatial Intelligence
Computer Vision
Machine Learning
Robotics
NeRFs
Gaussian Splatting
Multi-view Geometry
Structure-from-motion
PyTorch
DDP
FSDP
LiDAR
CUDA
NVIDIA
Isaac Sim
Omniverse
Foundation Models
World Models
Diffusion Models
HPC
Cloud Computing
Data Pipelines
Research Leadership
Computer Science
3D Media
Sports Analytics
Production Deployment
Model Evaluation

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Jobs in Canada