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Added 31 mins ago
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Sr Staff/Principal DevOps Engineer, Machine Learning Infrastructure and Performance
Qualcomm
Markham, ON
- Full-time
Added 1 hour ago
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Software Engineer - AI/Inference /Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Added 1 hour ago
HT
Applications Engineer
Husky Technologies
Bolton, ON
- Full-time
Apply a data-driven, first-principles approach, leveraging scientific modeling, experimentation, and advanced analytics to understand, predict, and optimize complex physical phenomena.
Added 1 hour ago
AG
Junior Data Engineer
Adelphi Group
Toronto, ON
- Full-time
…solutions for OMD's highest profile clients. We work closely with analytics and strategy teams to ensure clean, reliable, useable data flows and compelling visualizations that drive…
Added 1 hour ago
Senior Network Monitoring Engineer
Rogers Communications
Montreal, QC
Evaluate emerging technologies, including AI, that will improve network visibility, analytics, device management and incident resolution.
Added 1 hour ago
Google Cloud Platform (GCP) Data Engineer
Capgemini
Toronto, ON
Google Cloud Platform (GCP) Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be proficient in DBT (Data Build Tool) for data…
Added 1 hour ago
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AKS Workstream Lead
Capgemini
Mississauga, ON
- $75 to $95 CAD / hour
Azure Monitor, Prometheus, Grafana and Log Analytics
Added 1 hour ago
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Senior software engineer: Applied AI
Morningstar
Toronto, ON
- Full-time
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Added 1 hour ago
M
Senior Software Engineer- Applied AI
Morningstar
Toronto, ON
- Full-time
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Added 2 hours ago
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Data Engineer
Curis Solutions
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- Full-time
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Added 2 hours ago
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Digital Controls Technical Specialist
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- Full-time
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Added 3 hours ago
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Data Engineer
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Toronto, ON
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Added 3 hours ago
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Senior Azure engineer
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Permanent North American Gaeltacht, ON
- Full-time
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Added 3 hours ago
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Senior Infrastructure Engineer (Linux & Cloud Automation)
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Permanent North American Gaeltacht, ON
- Full-time
Job Details: Senior Infrastructure Engineer (Linux & Cloud Automation)
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Infrastructure Engineer
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Added 3 hours ago
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Design Engineering Manager, Integrated Automation & Control Solution
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- Full-time
…date, we are a trusted partner across the heavy industries. We engineer and assemble speed control equipment for a wide range of electric motor applications. In addition to VFD's, we also…
Added 4 hours ago
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Innovative Data Platform Solution Engineer
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- Full-time
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Added 4 hours ago
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Cloud Platform Engineer
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Remote, Canada
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Added 4 hours ago
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Added 5 hours ago
IG
Data Engineer
Insight Global
Toronto, ON
- $50 to $53 CAD / hour
- Contract
…and integration solutions that support enterprise reporting, analytics, and business operations. This role works closely with data architects, BI engineers, and business stakeholders to…
Added 5 hours ago
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Continous Imrovement Engineer
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The Continuous Improvement Engineer will play a critical role in driving operational excellence across manufacturing and service operations. This position focuses on identifying…
Added 6 hours ago
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Technical Lead (Full-Stack Engineering & AI)
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ON · Ontario, Canada
- Contract
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Added 6 hours ago
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Software Development Engineer II, WW Prime Tech
Amazon
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- Full-time
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Added 6 hours ago
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2027 Accelerated Development Program - BrainBox AI
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Added 6 hours ago
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Software Engineer III
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Peripheral

ML Engineer - Reconstruction

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 7, 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 Reconstruction Engineer to join Peripheral's Reconstruction team, helping push the state of the art in 3D reconstruction, neural rendering, and spatial models (monocular depth estimation, multi-view stereo, and beyond). You'll report to our Senior Reconstruction Engineer and work primarily on the research side of the team, developing and evaluating new approaches, with exposure to how the most promising results make their way into Peripheral's core pipeline.

This is a role for someone who has already done serious research in this space and wants to see their work move beyond the paper: someone who can run rigorous experiments independently, while learning what it takes to turn a strong result into something reliable enough to run at scale.

WHO YOU ARE:

You've done research in 3D reconstruction, neural rendering, or related spatial modeling problems, and you have the publication record to show for it. You're comfortable going from a new idea or paper to a working implementation and an honest evaluation of whether it holds up.

You think carefully about the full spectrum of spatial understanding, from classical multi-view geometry to neural approaches like NeRFs and Gaussian splatting, and you have your own opinions about where the field is headed.

You work independently and take ownership of your experiments, but you're also a strong collaborator: you share results openly, welcome feedback, and learn quickly from the people around you.

You're excited by the opportunity to help shape Peripheral's research culture from an early stage: the standards, rigor, and ways of working you help establish now are what the team will build on as it grows.

WHAT YOU'LL BE DOING:

Design, run, and analyze experiments across 3D reconstruction, neural rendering, and spatial models (monocular depth estimation, multi-view stereo, NeRF/Gaussian-splatting-style approaches, etc.).
Implement and evaluate new techniques from the research literature and from your own ideas, and report results clearly to the team.
Help move promising research into production by profiling, optimizing, and handing off models in a form the rest of the team can build on.

REQUIREMENTS:

Master's or PhD in Computer Science, Robotics, Computer Vision, or a related field.
Publication(s) at a top-tier venue (e.g., CVPR, ICCV, ECCV, NeurIPS, 3DV) in 3D reconstruction, neural rendering, or spatial modeling, as a first author or major contributor.
Strong research experience in 3D reconstruction and spatial modeling, across both classical (multi-view geometry, structure-from-motion) and neural (implicit representations, neural rendering) approaches.
Proficiency in Python and a deep learning framework, with a track record of implementing and training models from scratch.
Strong communication skills, able to explain results and trade-offs clearly to both researchers and engineers.
Candidates must have the legal right to work in Canada and be willing to relocate to Toronto for an in-office role. At this time, we are unable to provide immigration sponsorship.

NICE TO HAVE:

Experience with SLAM frameworks, point cloud processing, or 3D reconstruction libraries (e.g., COLMAP, Open3D, PCL).
Experience with large-scale spatial data pipelines (multi-camera/LiDAR capture, calibration).
Open-source contributions or released code and datasets associated with your research.
Background in robotics, autonomous systems, or motion capture applications of 3D reconstruction.

WHY YOU’LL LOVE WORKING HERE

Competitive equity package as an early team member.
Annual salary of $100K–$150K 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 About employer

More about this job

Responsibilities

Design, run, and analyze experiments in 3D reconstruction, neural rendering, and spatial modeling. Implement new research techniques and optimize models for production deployment.

Requirements

Requires a Master's or PhD in Computer Science, Robotics, or a related field with a strong publication record. Candidates must have proficiency in Python, deep learning frameworks, and experience in both classical and neural 3D reconstruction.

Skills

3D reconstruction
Neural rendering
Spatial modeling
Computer vision
Python
Deep learning
Multi-view geometry
Structure-from-motion
NeRF
Gaussian splatting
Monocular depth estimation
Multi-view stereo
Robotics
Research
Data pipelines

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

ML Engineer
3D Reconstruction
Neural Rendering
Spatial Intelligence
Computer Vision
Robotics
Deep Learning
Python
NeRF
Gaussian Splatting
Multi-view Geometry
Structure-from-motion
Monocular Depth Estimation
Multi-view Stereo
COLMAP
Open3D
PCL
SLAM
LiDAR
Calibration
Research
Production Pipeline
Sports Analytics
Immersive Media
Embodied Intelligence

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