About the role

Aplyr's Quick Take

This role is for a Senior Software Engineer focused on developing and managing an auto-labelling system for machine learning applications in autonomous vehicles. You'll be working on the architecture and scaling of data pipelines, collaborating closely with researchers and engineers to deploy solutions. It's a hands-on, individual contributor position.

Good fit

Ideal candidates have 3+ years in machine learning systems, strong Python skills, and experience with deep learning model production. A collaborative mindset and a technical background in computer science or robotics will help you thrive here.

Worth noting

The role emphasizes collaboration with a multidisciplinary team, which may appeal to those who enjoy a dynamic work environment. However, the spec lacks detail on specific day-to-day tasks and team structure.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.

With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai

You will...

- Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning.

- Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system.

- Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks.

- Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment.

Qualifications:

- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.

- 3+ years of experience developing solutions in ML systems or the ML software stack.

- Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads.

- Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference.

- Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code.

- Open-minded and collaborative team player with the willingness to help others.

Bonus/nice to have:

- Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models.

- Experience working with large Vision-Language Models (VLMs)

Skills & Tags

python machine learning ai data product

Aplyr's read

Waabi is advancing autonomous vehicle technology with a focus on AI-driven safety and efficiency, attracting engineers and policy experts to innovate in transportation.
Synthesized from recent postings & public sources

What's promising

•Waabi's focus on AI solutions aims to significantly enhance vehicle safety.
•The company is actively hiring specialized roles, indicating growth and investment in talent.
•Waabi's work in autonomous vehicles could revolutionize transportation efficiency.

What to watch

•Autonomous vehicle technology faces significant regulatory and public acceptance hurdles.
•The industry is highly competitive, with established players like Waymo and Tesla.
•Developing reliable AI for autonomous driving is a complex and lengthy process.

Why Waabi

•Waabi emphasizes AI-driven solutions specifically for safety in autonomous vehicles.
•The company is building a diverse team, from engineers to policy experts.
•Waabi's approach integrates cutting-edge AI with practical vehicle testing and operations.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Waabi

Waabi

waabi.ai

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Waabi is a technology company focused on developing artificial intelligence solutions for autonomous vehicles, aiming to improve safety and efficiency in transportation.