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Member of Technical Staff - World Models

veeda-aiTorontoTechnical Staff
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Salary
Not listed
Job type
Full-time
Work mode
Remote
Experience
Senior
Posted
7 Sept 2026
Status
Open · checked 7d ago

About this role

This role suits an experienced machine learning researcher interested in building multimodal foundation world models for Physical AI based in Toronto. The position involves designing and scaling generative models and collaborating with engineering teams at Veeda AI.

Role Overview

Veeda AI seeks a Member of Technical Staff for World Models in Toronto to work on multimodal foundation models for Physical AI. The team focuses on embodied intelligence and robotics research.

Key Responsibilities

Design, train, and scale predictive and generative models across spatial and visual modalities.
Build methods for learning from varied data sources and integrating conditioning signals.
Enhance generalization, consistency, and robustness in temporal and spatial structure models.
Investigate model optimization and post-training techniques for better efficiency and control.
Design rigorous evaluations and run controlled experiments to direct data and modeling choices.
Partner with robotics, systems, and data engineers to convert research concepts into stable capabilities.

Requirements

PhD in a related technical field, Engineering, or Computer Science, or equivalent practical experience.
Background in training machine learning foundation models end-to-end using PyTorch and distributed training.
Skill in independently planning, running, and analyzing machine learning experiments from hypothesis to conclusion.
Experience in creating evaluations that expose model constraints and guide research choices.

Nice to Have

Publication history or research contributions in image, video, 3D, or multimodal models.
Background in compression, tokenization, or learned representations for high-dimensional data.
Familiarity with conditional generation, long-context modeling, or temporal consistency.
Knowledge of model-based learning, reinforcement learning, or embodied AI.
Experience in efficient inference, distillation, or post-training for generative models.
Work with large heterogeneous sensor or visual datasets.
Involvement in open-source machine learning projects or research infrastructure.

Skills and Tools

PyTorch
Distributed training
Generative and predictive models
Multimodal learning

About the Company

Veeda AI constructs multimodal foundation world models for Physical AI. Operating as a compact and rapid team of researchers and engineers originating from prominent AI laboratories, the organization focuses on challenges intersecting robotics, AI, and embodied intelligence.

How to Apply

Candidates should apply on the official company careers page.

Skills and tech stack

PyTorchReinforcement LearningMachine Learning

Questions candidates ask

Where is the position located?

The role is located in Toronto.

What core technical skills are required?

Requirements include end-to-end machine learning foundation model training, strong PyTorch proficiency, and hands-on distributed training experience.

What educational background is expected?

A PhD degree in Computer Science, Engineering, or a related technical field, or equivalent experience is required.

What does Veeda AI focus on?

Veeda AI builds multimodal foundation world models for Physical AI, operating at the intersection of AI, robotics, and embodied intelligence.

How should I submit my application?

Applicants should apply directly on the official company careers page.

Ready to apply?

The application is on the official veeda-ai careers page.

Apply on company site