Job summary
Job post source
This job is directly from Waabi
Job overview
The Research Engineer, Learnable Planner at Waabi supports data generation and curation to train and evaluate the company's autonomous driving planner, contributing to the launch of fully driverless trucks.
Responsibilities and impact
The role involves developing data infrastructure for training and evaluation, curating high-quality datasets from simulation and real-world sources, designing metrics and evaluation pipelines, ensuring engineering excellence, and collaborating with a multidisciplinary AI-focused team.
Compensation and benefits
The US salary range is $159,000 to $296,000 USD with additional equity awards, annual performance bonuses, health benefits, unlimited vacation, flexible work hours, and various team activities.
Experience and skills
Candidates should have a degree in Computer Science, Robotics or related fields, software engineering experience, teamwork skills, expertise in data processing and ETL pipelines, and a passion for self-driving technology; autonomous driving data experience is a plus.
Work environment and culture
Waabi promotes a diverse, inclusive, and collaborative environment with flexible work options, team building activities, and a commitment to innovation and employee support.
Company information
Waabi is an AI company founded by Raquel Urtasun, focused on next-generation self-driving technology with offices in Toronto, San Francisco, and Dallas, backed by top investors.
Team overview
The candidate will join the Motion Planning team, a multidisciplinary group of engineers and scientists working on AI-driven autonomous truck planning and simulation.
Job location and travel
Offices are located in Toronto, San Francisco, and Dallas with support for remote work and flexible hours.
Unique job features
The role offers the opportunity to work with Waabi's high-fidelity simulator Waabi World and contribute to cutting-edge AI systems for safe autonomous driving.
Company overview
Waabi is an innovative company specializing in the development of autonomous vehicle technology. Founded by AI pioneer Raquel Urtasun, Waabi leverages advanced artificial intelligence and machine learning to create safer and more efficient self-driving solutions. The company generates revenue through partnerships with automotive manufacturers and technology licensing. Key historical milestones include securing significant funding from top-tier investors and forming strategic alliances within the automotive industry. Waabi's mission is to accelerate the deployment of autonomous vehicles, making transportation safer and more accessible.
How to land this job
Tailor your resume to emphasize your software engineering experience, especially in data processing pipelines, ETL, and distributed computing, as these are core to the Research Engineer role at Waabi.
Highlight your ability to work with large datasets and your experience with simulation environments or autonomous driving data, aligning with Waabi's focus on high-fidelity simulation and real-world data curation.
Apply through multiple platforms including Waabi's corporate careers page and LinkedIn to maximize your application's visibility and reach.
Connect with members of Waabi's Motion Planning or AI teams on LinkedIn, using ice breakers such as commenting on Waabi's innovative AI-first approach to self-driving or asking about their experience working with Waabi World simulator.
Optimize your resume for ATS by incorporating keywords like 'data pipelines,' 'ETL,' 'autonomous driving,' 'simulation,' 'software engineering,' and 'machine learning,' ensuring your resume passes initial screenings effectively.
Consider using Jennie Johnson's Power Apply feature to automate tailored applications, optimize keyword usage for ATS, find multiple application portals, and identify relevant Waabi contacts on LinkedIn, allowing you to focus more on preparing for interviews and skill development.
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