Senior Machine Learning Engineer, Perception R&D

Responsibilities:

• Tame the Long Tail: You will develop strategies to detect and handle "rare events" (novel packaging, damaged goods, occlusion) that break traditional detectors.
• Leverage Foundation Models: You will adapt and fine-tune large-scale foundation models for specific robotic manipulation tasks, toward zero-shot generalization capabilities.
• Model Optimization: You will take massive, compute-heavy models and distill them into efficient, lightweight networks that can run with low latency on edge compute (NVIDIA Orin).
• Drive Technical Excellence: As a senior member of the team, you will stay ahead of the curve on CV/ML research, translate relevant breakthroughs into production-grade gestures and mentor junior engineers.

Skills:

• 5+ Years of Experience in Computer Vision and Deep Learning, with a specific focus on applied research or advanced R&D.
• You have hands-on experience with modern architectures: Transformers (ViT), Self-Supervised Learning (SSL), Vision-Language Models (VLMs), or Zero-Shot detection.
• Expert-level Python and PyTorch skills.
• You are focused on the "hard" problems (occlusions, reflective surfaces, and variable lighting), and you know when to use a large model versus a simple heuristic.
• Experience with Model Distillation (Student-Teacher networks) and Quantization.
• You can demystify complex AI research and articulate performance implications to engineering and product stakeholders.
• Familiarity with Docker, AWS/GCP (S3, EC2) and experiment tracking tools.