Machine Learning Engineer engaged in recommendation and search, NLP, and image processing. Contributing to a major online dating app, Pairs, in Japan.
About the role
- Senior Machine Learning Engineer focusing on robotic perception using AI and machine learning at Pickle Robot Company. Bridging academic research with 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.
Requirements
- 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.
Benefits
- health, dental, & vision insurance
- unlimited vacation
- all federal and state holidays
- 401K contributions of 5% your salary
- travel supplies
- other items to make your working life more fun, comfortable, and productive
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