🛠 Tech Stack

💼 About This Role

You'll build deep learning models for camera-based perception in autonomous trucks. Your work will directly impact safety and reliability in real-world driving. This role offers strong ownership across the full ML lifecycle.

🎯 What You'll Do

• Design, develop, and deploy deep learning models for camera-based perception.
• Own end-to-end ML workflows from data curation to production deployment.
• Build scalable, production-quality ML pipelines for training and inference.
• Analyze model performance and improve robustness across driving conditions.

📋 Requirements

• Bachelor's in CS, Robotics, or related field with 6+ years experience.
• Deep learning experience for computer vision or perception systems.
• Python and PyTorch proficiency for production-level ML development.
• Experience with large-scale datasets and distributed training.

✨ Nice to Have

• Experience in autonomous driving or robotics.
• 3D perception, BEV modeling, or large-scale ML pipelines.

🎁 Benefits & Perks

• 🏖️ Flexible remote work arrangements.
• 💰 Competitive compensation including base salary, bonus, and stock options.
• 🏥 Comprehensive health coverage (medical, dental, vision).
• 📈 RRSP retirement plan with employer matching.
• 🎉 Generous PTO and company-wide holiday closures.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3On-site/Team Interview· 4 hours