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Home›Jobs›Waabi›Senior Software Engineer, ML Pipelines, Data & Automation
Waabi

About Waabi

Leading the way in self-driving technology innovation

🏢 Tech👥 201-500 employees📅 Founded 2021📍 Toronto, Ontario, Canada💰 $272.4m⭐ 4.2
B2BTravelCarsAugmented RealitySaaS

Key Highlights

  • Raised $272.4 million in Series A funding
  • Partnership with Volvo for autonomous truck development
  • Headquartered in Toronto, Ontario, Canada
  • 201-500 employees focused on AI and autonomy

Waabi, headquartered in Toronto, Ontario, is at the forefront of AI-powered self-driving technology, aiming to bring commercially viable autonomous vehicles to the market. With $272.4 million raised in Series A funding, Waabi partners with Volvo to develop the Volvo VNL Autonomous truck, integrating...

🎁 Benefits

Waabi offers competitive salaries, equity options, flexible remote work policies, and generous PTO to support work-life balance....

🌟 Culture

Waabi fosters a culture of innovation and technical excellence, emphasizing an AI-first approach to tackle the complexities of self-driving technology...

🌐 Website💼 LinkedIn𝕏 TwitterAll 44 jobs →
Waabi

Senior Software Engineer, ML Pipelines, Data & Automation

Waabi • Toronto, CAN, San Francisco, CA, Dallas, TX & Remote - US & Canada

Posted 5 months ago🏠 RemoteSeniorMachine learning engineer📍 Toronto📍 San francisco📍 Dallas
Apply Now →

Job Description

Waabi, founded by AI pioneer and visionary Raquel Urtasun, is an AI company building the next generation of self-driving technology. With a world class team and an innovative approach that unleashes the power of AI to “drive” safely in the real world, Waabi is bringing the promise of self-driving closer to commercialization than ever before. Waabi is backed by best-in-class investors across the technology, logistics and the Canadian innovation ecosystem.

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

As a Senior Software Engineer embedded within our Autonomy & Algorithms teams, you will develop data pipelines needed to train and evaluate Waabi’s autonomous platform, enabling our launch of fully driverless autonomous trucks. You will work closely with our multidisciplinary team of world-renowned scientists and software engineers to build innovative, practical, and scalable solutions to challenging problems as part of our next-generation self-driving solution.

You will...
- Work across the ML development lifecycle, including dataset curation, labelling, generation, training, evaluation, and visualization.
- Generate and work with large datasets from various sources including real world driving as well as Waabi World, our high-fidelity simulator.
- Implement metrics and tags to provide a holistic understanding of model performance and enable the discovery of interesting scenarios for training and evaluation.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Assist in project roadmap planning, prioritization, and delivery.

Qualifications: 
- MS/Bachelors degree with 4+ years of industry experience in Computer Science, Machine Learning and/or similar technical field(s) of study.
- Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.
- Experience in data processing pipelines, ETL pipelines, distributed computing.
- Understanding of cloud job orchestration, monitoring, and instrumentation best-practices.
- Open-minded and collaborative team player with the willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

Bonus/nice to have:
Experience solving data problems in the field of autonomous driving.Familiar with linear algebra (projections, transforms) and 3D geometry.Previous experience in working with multimodal sensor data (e.g. LiDAR, RADAR, camera).

Interested in this role?

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