[Remote] Research Scientist, World Models at Waabi

Toronto, Ontario, Canada

Waabi Logo
Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Autonomous Vehicles, Artificial Intelligence, RoboticsIndustries

Skills

Key technologies and capabilities for this role

generative modelingpredictive modelinglatent diffusionvideo generation3D Gaussian splattingNeRFmulti-sensor datamulti-modal datasimulation integrationdistributed trainingrendering pipelinesresearch publicationmentoringgenerative AIdifferentiable renderingknowledge distillationrobotics

Questions & Answers

Common questions about this position

What qualifications are required for the Research Scientist, World Models position?

Candidates need a Ph.D. in Computer Vision, Machine Learning, Robotics, or related field (or equivalent), expert proficiency in Python and PyTorch (or JAX), strong software engineering skills with distributed training experience, proven experience in generative or predictive world models, and collaborative team experience with strong communication skills.

Is this position remote or does it require working from an office?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What does the team environment look like at Waabi?

The role involves working collaboratively within a close-knit team of researchers and engineers, mentoring junior scientists and interns, and fostering a culture of scientific rigor and rapid experimentation.

What makes a strong candidate for this Research Scientist role?

A strong candidate has a Ph.D. or equivalent in a relevant field, expert Python/PyTorch skills, experience with generative world models, and a track record of collaborative research; bonus for productionizing research and top-tier publications in areas like NeRF, diffusion, or video prediction.

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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