Senior Machine Learning Engineer

Role: Senior Machine Learning Engineer

Location: Remote
Work timing: US EST Hours

About this role:

Our client is on the hunt for a dynamic and driven Senior Machine Learning Engineer to revolutionize the future of warehouse automation. This role will focus on pushing the boundaries of what is possible in robotic perception. You will use Foundation Models, Vision-Language Models (VLMs), and Generative AI to solve the "long-tail" of rare events in the supply chain. You will be bridging the gap between cutting-edge academic research and reliable, real-world robotic deployment.

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.

Share your Resume at [email protected]