First seen by our source: 23 days ago
ML Researcher - Reconstruction
@ Peripheral
Toronto, Ontario
Overview
Peripheral is hiring a Reconstruction Researcher for its Reconstruction team in Toronto, working on 3D reconstruction, neural rendering and spatial models. The role runs independent experiments, implements techniques from the literature, and helps move strong results into the production pipeline. Full-time, in-office, with a salary of $100K–$150K CAD plus bonuses.
Pay:
$100,000–$150,000 a year
Responsibilities:
- Design, run and analyze experiments in 3D reconstruction and spatial models
- Implement and evaluate techniques from literature and own ideas
- Profile, optimize and hand off models for production
Requirements summary:
- Master's or PhD in Computer Science, Robotics, Computer Vision or related field
- Top-tier publications (CVPR, ICCV, ECCV, NeurIPS, 3DV) in 3D reconstruction or neural rendering
- Strong classical and neural 3D reconstruction research experience
- Proficiency in Python and a deep learning framework
- Legal right to work in Canada and willingness to relocate to Toronto
Tools & skills
Benefits mentioned
Source and dates
Source type not verified · dover
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-14
- Source record updated
- 2026-10-20
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | Research & science |
| Hours per week | 40 (estimated) |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Master’s degree (required), Doctorate (required) |
| Fields of study | Computer Science, Robotics, Computer Vision |
| Perks mentioned | Generous paid time off, Flexible hours, Performance bonus, Stock or equity, Wellness |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Peripheral
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Bringing Spatial Intelligence to Live Media, starting in Sports. Join us at peripheral.so
Full company description
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.
- People associated on LinkedIn
- 10
- Other recorded names
- Peripheral
- Peripheral Labs
- Profile identifies a recruitment agency
- No
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.
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 2-10 employees |
| Organization type | Public Company |
| Open jobs on Jobsy | 11 |
| View page |
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 Researcher 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 Researcher 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.
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