Research Scientist, World Models

Toronto, Ontario, Canada

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Not SpecifiedCompensation

Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

Autonomous Vehicles, Artificial Intelligence, RoboticsIndustries

Requirements

Candidates should possess a Ph.D. in Computer Vision, Machine Learning, Robotics, or a related field, or equivalent research experience, demonstrating technical innovation and expertise in Python and PyTorch (or JAX). Strong software-engineering fundamentals and experience with distributed training are required, along with expert domain knowledge in generative or predictive models of the physical world with scale and efficiency in mind for real-world applications.

Responsibilities

As a Research Scientist, you will conduct fundamental and applied research in generative and predictive world-modeling, collaborate with simulation engineers to integrate models into large-scale training pipelines, publish high-impact research at top conferences, mentor junior scientists and interns, and stay current with emerging advances in generative AI, differentiable rendering, and robotics.

Skills

generative modeling

predictive modeling

latent diffusion

video generation

3D Gaussian splatting

NeRF

multi-sensor data

multi-modal data

simulation integration

distributed training

rendering pipelines

research publication

mentoring

generative AI

differentiable rendering

knowledge distillation

robotics

Waabi

Develops self-driving technology for trucking

About Waabi

Waabi focuses on developing self-driving technology specifically for the trucking industry. Their main product, the Waabi Driver, is designed to learn from experiences, adapt to new situations, and work with various hardware setups. This technology aims for large-scale use and is intended for integration into vehicles by original equipment manufacturers (OEMs). A key feature that sets Waabi apart from competitors is its use of Waabi World, an advanced simulation environment that allows for efficient development of their self-driving systems. This reduces the need for extensive real-world testing, which can be costly and time-consuming, while also improving safety and adaptability. Waabi's goal is to transform the trucking industry by providing technology that lowers operational costs and enhances safety for commercial vehicles. They aim to license their technology to trucking companies and OEMs, making it easier for these businesses to adopt self-driving solutions.

Toronto, CanadaHeadquarters

2021Year Founded

$265.9MTotal Funding

SERIES_BCompany Stage

Automotive & Transportation, AI & Machine LearningIndustries

51-200Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

Unlimited Paid Time Off

Flexible Work Hours

Company Equity

Risks

Increased competition from Aurora and Volvo may impact Waabi's market share.

Reliance on NVIDIA's technology poses risks if supply chain issues arise.

Regulatory changes in Texas could affect Waabi's deployment timeline and costs.

Differentiation

Waabi uses advanced simulation technology, Waabi World, to reduce real-world testing needs.

The company employs a unique AI-first approach, minimizing data and computation requirements.

Waabi's generative AI enhances self-driving technology efficiency and deployment speed.

Upsides

Waabi's partnership with NVIDIA boosts its technological capabilities and market reach.

The $200 million funding round indicates strong investor confidence in Waabi's potential.

Launching in Texas positions Waabi in a favorable tech and logistics environment.

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